Forem: Devansh Agarwal

5 Best Powershell Courses

Devansh Agarwal — Sat, 12 Sep 2020 16:48:30 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

PowerShell is Microsoft's command-line shell and scripting language that has transformed the role of Sys Admin. It is incredibly powerful and dynamic.

PowerShell is a cross-platform task automation and configuration management framework, which consists of a command-line shell and scripting language. Unlike most of the shells, which accept and return text, PowerShell is built on top of the .NET Common Language Runtime (CLR) and accepts and returns .NET objects. This fundamental change brings entirely new tools and methods for automation.

Unlike traditional command-line interfaces, PowerShell cmdlets are designed to deal with objects. An object is a structured information that is more than just the string of characters appearing on the screen. Command output always carries extra information that you can use if you need it.

If you have used text-processing tools to process data in the past, you will find that they behave differently when used in PowerShell. In most cases, you do not need text-processing tools to extract specific information. You directly access portions of the data using standard PowerShell object syntax.

Thus, considering the widespread usage of Microsoft Powershell, it becomes essential to be thorough with the tool. Therefore, we have curated a list of Best Powershell Courses that can help you learn the tool from scratch. You will get a decent hands-on experience and become proficient if you do the courses religiously.

Best Powershell Courses

Windows PowerShell Training
System Administration and IT Infrastructure Services
Microsoft PowerShell Course: Master PowerShell for IT Professionals
Operating Systems and You: Becoming a Power User
Introduction to Windows PowerShell 5.1

1. Windows PowerShell Training

A comprehensive guide to using Windows PowerShell for System Administrators

Course rating: 4.4 out of 5.0 ( 5,221 Ratings total)

In this course, you will :

Learn PowerShell to control and administrate your Windows machines and servers
How to use this task-based command-line shell and scripting language, built on the .NET framework, designed especially for systems administration.
You will start by learning the basics of PowerShell, then jump into installing and setting up PowerShell.
From there, this course will teach you the PowerShell commands, including objects and classes, get-help, and get-command.
You will also learn about PowerShell scripts and providers, such as the file system provider, alias provider, and environment provider.
This course will also cover working with files and folders, system administration, and PowerShell version 5.

You can take the Windows PowerShell Training Certificate Course on Udemy.

2. System Administration and IT Infrastructure Services

Offered by Google. This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computer systems in a multi-user environment.

Course rating: 4.7 out of 5.0 (8,964 Ratings total)

In this course, you will :

Learn about the infrastructure services that keep all organizations, big and small, up and running.
You will deep dive into the cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources.
You will also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity.
Finally, you will learn how to recover your organization’s IT infrastructure in the event of a disaster.
By the end of this course, you will be able to utilize best practices for choosing hardware, vendors, and services for your organization
Understand how the most common infrastructure services that keep an organization running work, and how to manage infrastructure servers
Understand how to make the most of the cloud for your organization
Manage an organization’s computers and users using the directory services, Active Directory, and OpenLDAP
Choose and manage the tools that your organization will use
Backup your organization’s data and know-how to recover your IT infrastructure in the case of a disaster
Utilize systems administration knowledge to plan and improve processes for IT environments

You can take the System Administration and IT Infrastructure Services Certificate Course on Coursera.

3. Microsoft PowerShell Course: Master PowerShell for IT Professionals

Unleash the Power of PowerShell. Amazing skills for anyone that deals with IT.

Course rating: 4.4 out of 5.0 ( 4,948 Ratings total)

In this course, you will learn:

The ability to use PowerShell fundamentals to write functions and scripts that will save you time.
An opportunity to impress your colleagues and IT management with your PowerShell skills.

This PowerShell course is packed with concise illustrations to help you learn the fundamentals in a short amount of time

Throughout the course we will cover the following topics:

How to install and startup PowerShell
Basic data types
Comparison operators
Cmdlets (it is a PowerShell thing)
Aliases
Working with objects
Sorting
Filtering
Loops
Formatting output
Arrays & Hash Tables
Saving Data
Importing Data
Writing functions including passing parameters and returning results
Writing scripts

You can take Microsoft PowerShell Course: Master PowerShell for IT Professionals Certificate Course on Udemy.

4. Operating Systems and You: Becoming a Power User

Offered by Google. In this course -- through a combination of video lectures, demonstrations, and hands-on practice -- you will learn about the main components of an operating system.

Course rating: 4.7 out of 5.0 ( 10,889 Ratings total)

In this course, you will :

Learn about the main components of an operating system and how to perform critical tasks like managing software and users, and configuring hardware.
By the end of this course, you’ll be able to navigate the Windows and Linux filesystems using a graphical user interface and command-line interpreter
set up users, groups, and permissions for account access
install, configure, and remove software on the Windows and Linux operating systems
configure disk partitions and filesystems
understand how system processes work and how to manage them
work with system logs and remote connection tools
utilize operating system knowledge to troubleshoot common issues in an IT Support Specialist role

You can take Operating Systems and You: Becoming a Power User Certificate Course on Coursera.

5. Introduction to Windows PowerShell 5.1

Install PowerShell 5.1, Understand PowerShell Syntax, Setup a PowerShell IT lab, Manage Active Directory with Powershell

Course rating:4.4 out of 5.0 ( 3,247 Ratings total)

In this course, you will :

Understand the Powershell command line
How to write Powershell scripts to automate redundant tasks
Install and Update Windows PowerShell
Learn the Basics of Windows PowerShell 5.1
Introduction to the Text-Based Console and Intelligent Scripting Environment (ISE)
Utilize the PowerShell Help System
Finally, Understand PowerShell Syntax
Understand Objects, Properties, and Methods
Understand the PowerShell Pipeline
Create and Manage Active Directory Users with PowerShell
Create and Delete Organizational Units with PowerShell

In this course you will cover the following major topics:

The basics of Windows PowerShell
Windows PowerShell system requirements
Installing and Updating Windows PowerShell
How to use the CLI (Command Line Interface)
How to use the ISE (Intelligent Scripting Environment)
How to get help and find commands within the CLI
Getting Started with Windows PowerShell
Getting Help and Finding Commands
The Language of PowerShell - Command Syntax, Objects and Properties, and the Pipeline
Setup your own PowerShell On-Premises IT Lab
Basic Active Directory Domain Administration with Windows Powershell
An introduction to Desired State Configuration made simple!

You can take Introduction to Windows PowerShell 5.1 Certificate Course on Udemy.

Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote, and share it in your network. In case you want to explore more, you can take the Free Powershell Courses.

In case you liked this article, you can also visit the following posts

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Best Arduino Courses to make flawless IoT Projects

Devansh Agarwal — Fri, 11 Sep 2020 05:10:47 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

The Arduino is an open-source computer hardware/software platform for building digital devices and interactive objects that can sense and control the physical world around them.

For many years now, people have been improving their tools, studying the forces of nature, and bringing them under control, using the energy of nature to operate their machines. The last century is noted for the creation of machines that can operate other machines. Nowadays the creation of devices that interact with the physical world is available to anyone.

One such creation is the Arduino. Using simple integrated circuit boards, users can build high-end IoT projects like smart homes, robotic arms, drones, and the likes in a matter a few hours.

Arduino is a prototype platform (open-source) based on easy-to-use hardware and software. It consists of a circuit board, which can be programed (referred to as a microcontroller) and a ready-made software called Arduino IDE (Integrated Development Environment), which is used to write and upload the computer code to the physical board.

The key features are −

Arduino boards can read analog or digital input signals from different sensors and turn it into an output such as activating a motor, turning LED on/off, connect to the cloud, and many other actions.
You can control your board functions by sending a set of instructions to the microcontroller on the board via Arduino IDE (referred to as uploading software).
Unlike most previous programmable circuit boards, Arduino does not need an extra piece of hardware (called a programmer) to load new code onto the board. You can simply use a USB cable.
Additionally, the Arduino IDE uses a simplified version of C++, making it easier to learn to program.
Finally, Arduino provides a standard form factor that breaks the functions of the micro-controller into a more accessible package.

Features of the Arduino UNO:

Microcontroller: ATmega328.
Operating Voltage: 5V.
Input Voltage (recommended): 7-12V.
Input Voltage (limits): 6-20V.
Digital I/O Pins: 14 (of which 6 provide PWM output)
Analog Input Pins: 6.
DC Current per I/O Pin: 40 mA.
DC Current for 3.3V Pin: 50 mA.

Best Arduino Courses

Arduino Step by Step: Getting Started
Building Arduino robots and devices
Arduino Programming and Hardware Fundamentals with Hackster
The Arduino Platform and C Programming
Arduino Programming For Beginners

1. Arduino Step by Step: Getting Started

The original comprehensive course designed for new Arduino Makers

Course rating: 4.6 out of 5.0 ( 5,052 Ratings total)

In this course, you will :

Build simple circuits around the Arduino Uno, that implement simple functions.
Write simple Arduino sketches that can get sensor reading, make LEDs blink, write text on an LCD screen, read the position of a potentiometer, and much more.
Understand what is the Arduino.
Understand what is prototyping.
Understand analog and digital inputs and outputs
Understand the ways by which the Arduino can communicate with other devices
Use the multimeter to measure voltage, current, resistance, and continuity
Use protoboards to make projects permanent
be productive with the Arduino IDE, write, compile and upload sketches, install libraries
Understand what is Arduino programming, it's basic concepts, structures, and keywords
Detect and measure visible light, color, and ultraviolet light
Measure temperature, humidity, and acceleration
Measure the distance between the sensor and an object in front of it
Detect a person entering a room
Detect a noise
Make noise and play music
Display text on a liquid crystal display

You can take Arduino Step by Step: Getting Started Certificate Course on Udemy.

2. Building Arduino robots and devices

Our course consists of a series of practical problems on making things that work independently: they make their own decisions, act, move, communicate with each other and people around, and control other devices.

Course rating: 4.3 out of 5.0 ( 95 Ratings total)

In this course, you will :

Demonstrate how to assemble such devices and program them using the Arduino platform as a basis.
After this course, you will be able to create devices that read the data about the external world with a variety of sensors, receive and forward this data to a PC, the Internet, and mobile devices, and control indexing and the movement.
The creation of such devices will involve design, the study of their components, the assemblage of circuit boards, coding, and diagnostics.
Along with the creation of the devices themselves, you will perform visualization on a PC, create a web page that will demonstrate one of your devices, and figure out how an FDM 3D-printer is configured and how it functions.
Besides those keen on robotics or looking to broaden their horizons and develop their skills, the course will also be useful to anyone facing the task of home and industrial automation, as well as to anyone engaged in industrial design, advertising, and art.
The entire course is dedicated to practicing, so the best way for you would be to get hold of some electronics, follow the illustrated examples, and experiment on your own.

You can take the Building Arduino robots and devices Certificate Course on Coursera.

3. Arduino Programming and Hardware Fundamentals with Hackster

Learn electrical engineering basics to build circuits and program Arduino to make wearables, robots, and IoT devices

Course rating: 4.6 out of 5.0 ( 2,816 Ratings total)

In this course, you will :

Master the fundamentals of Arduino programming with C/C++
Build functioning circuits on a breadboard
Control sensors, robots, and the Internet of Things (IoT) devices using Arduino
Write programs that perform basic math, light up LEDs, and control motors
Design circuits and write code for your project
Learn to program in Arduino (C/C++)
Build electronics that sense and react to the environment
Remotely log data to an Internet of Things (IoT) platform
Use the Internet to control your Arduino from anywhere in the world

You can take Arduino Programming and Hardware Fundamentals with Hackster Certificate Course on Udemy.

4. The Arduino Platform and C Programming

You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display.

Course rating: 4.6 out of 5.0 ( 711 Ratings total)

In this course, you will :

Learn how the Arduino platform works in terms of the physical board and libraries and the IDE (integrated development environment).
You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display.
The course will also cover programming the Arduino using C code and accessing the pins on the board via the software to control external devices.

Upon completing this course, you will be able to:

Outline the composition of the Arduino development board

Describe what it means to program the board's firmware
Read board schematics
Install Arduino IDE
Describe what "shields" are and how they are used
Specify the role of libraries in the use of shields
Compile and run a program
Name C Variables and Types
Name common C operators
Use conditionals and loops
Explain functions, their definition, and invocation
Explain the implications of global variables
Undertake the Arduino build process
Describe the role of the tools behind the IDE
Describe how to invoke functions in classes
Explain the structure of an Arduino sketch
Access the pins of the Arduino
Differentiate between digital and analog pin
Debug embedded software
Explain the importance of controllability and observability in the debugging process
Describe common debugging architectures for embedded systems
Explain how the UART Serial communication protocol works
Describe how the Arduino Serial library performs serial communication

You can take The Arduino Platform and C Programming Certificate Course on Coursera.

5. Arduino Programming For Beginners

Learn Arduino Programming step-by-step, and become more confident to write Arduino programs that rock!

Course rating: 4.4 out of 5.0 ( 621 Ratings total)

In this course, you will :

Create structured and efficient Arduino programs
C and Arduino programming (+best practices)
Become more autonomous when programming on Arduino, and rely less on copying/pasting
Write code and practice instead of just sitting and watching
Build a very basic Arduino circuit
Get more confidence for your next Arduino projects
Install the Arduino IDE and upload a program to your Arduino board
C programming in the Arduino environment
Setup a basic Arduino circuit
Use digital and analog pins to control external hardware components
Communicate with the outside
Store values on your Arduino board
Create a multitask program
Separate your program into reusable blocks of code

You can take Arduino Programming For Beginners Certificate Course on Udemy.

In case you liked this article, you can also visit the following posts

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Best Courses to learn Flask 2020

Devansh Agarwal — Fri, 04 Sep 2020 08:50:41 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

Flask is a Python-based micro-framework that is used to build web applications. The term 'micro-framework' signifies that it does not require any special tools or libraries. By the word micro framework, we are not limiting the abilities of Flask. Flask is equally good for larger applications as it is for smaller ones.

Components like database abstraction layer, form validation & verification, etc where a pre-existing library is required. Flask, however, supports extensions.

Extensions provide support for object-relational mapping, exception handling, and data validation.

Salient Features of Flask

Development server and debugger
Integrated support for unit testing
RESTful request dispatching
Uses Jinja templating
Support for secure cookies (client-side sessions)
Unicode-based
Extensive documentation
Google App Engine compatibility
Extensions available to enhance features desired

Why learn Flask?

Provided the ease of usage and simplicity of understanding, Flask is undoubtedly one of the best frameworks( or Microframework).
Its simple yet elegant syntax helps you to build web-apps in less time with minimal efforts. You can also build REST APIs using this micro-framework.

However, learning Flask can be challenging provided the enormous resources present out there. People think that plenty of resources make it easier. But, it's the other way round. Opting for the best courses from a pool of thousands of courses can be a tedious task.

Thus, we have curated a list of Best Flask Courses that you can take to get a good hands-on experience with the micro-framework. You will learn to build simple web-apps using flask. You will also build REST APIs and understand the web development process while working with Python.

Best Courses to learn Flask

1. Build REST APIs with Flask and Python (The Complete Course)

Build professional REST APIs with Python, Flask, Flask-RESTful, and Flask-SQLAlchemy. You will start with a Python refresher that will take you from the very basics to some of the most advanced features of Python—that's all the Python you need to complete the course.

Course rating: 4.6 out of 5.0 ( 10,844 Ratings total)

In this course, you will :

Connect web or mobile applications to databases and servers via REST APIs
Create secure and reliable REST APIs which include authentication, logging, caching, and more
Understand the different layers of a web server and how web applications interact with each other
Handle seamless user authentication with advanced features like token refresh
Handle log-outs and prevent abuse in your REST APIs with JWT blacklisting
Develop professional-grade REST APIs with expert instruction
This course will guide you in creating simple, intermediate, and advanced REST APIs including authentication, deployments, caching, and much more.

Using Flask and popular extensions Flask-RESTful, Flask-JWT, and Flask-SQLAlchemy you will dive right into developing complete, solid, production-ready REST APIs.

You can take Build REST APIs with Flask and Python (The Complete Course) Certificate Course on Udemy.

2. Python and Flask Bootcamp (Create Websites using Flask!)

Create awesome websites using the powerful Flask framework for Python! This course will be your complete definitive guide for developing fully functional websites with the Flask web framework.

Course rating: 4.7 out of 5.0 ( 4,373 Ratings total)

In this course, you will :

Learn basic HTML to create templates along with basic CSS to style your webpages
Understand Python, including Functions, Decorators, and Object-Oriented Programming
Cover how to use the Jinja template engine to directly connect your flask application to your front end files to customize your websites.
Use Flask to create basic landing pages
Use WTForms to accept user inputs from a Flask Application
Use Flask and SQLAlchemy as an ORM for a SQL database
Use blueprints to structure larger Flask Applications
Create a fully functioning Social Network Site with Flask
Enable User Authentication and Authorization with Flask and understand OAuth with Flask Applications
Create simple REST APIs with Flask and accept payments with Stripe and Flask
Learn how to connect templates to Flask do you can connect your Flask Application to HTML, CSS, and Bootstrap based templates

You can take Python and Flask Bootcamp (Create Websites using Flask!) Certificate Course on Udemy.

3. Python Flask for Beginners: Build a CRUD web app using Flask

Learn to build dynamic web applications using Python and Flask | The most practical course to learn Flask

Course rating: 4.4 out of 5.0 ( 622 Ratings total)

In this course, you will :

You will learn to create a web server using Flask
You will understand how the web actually works
Perform Create, Read, Update and Delete operations of a MySQL database
You will learn how to use a YAML file to store and retrieve configuration parameters using PyYAML
You will be comfortable connecting your application to a MySQL database using flask-mysqldb
You will learn to use the Jinja2 template engine of Flask
Add simple CSS styles to your application using flask-bootstrap
Submit a user form through an HTTP POST request
You will learn how to hash sensitive information submitted by the user
Understand the difference between an HTTP GET request and an HTTP POST request
Integrate CKEditor to your blog application using flask-CKEditor
Handle user sessions

You can take Python Flask for Beginners: Build a CRUD web app using Flask Certificate Course on Udemy.

4. Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps

Learn Python coding with RESTful API's using the Flask framework. Understand how to use MongoDB, Docker, and Tensor flow.

Course rating: 4.4 out of 5.0 ( 1,109 Ratings total)

In this course, you will :

Have a deeper knowledge and understanding of core elements of web development using Python
Understand and be able to use the flask framework
Plan, build, set up and deploy a RESTful API to an Amazon EC2 instance
Make use of a NoSQL (MongoDB) Database
Build a machine-learning API using Tensorflow for image recognition

Why choose this course?

You will be able to learn and understand how to design and implement RESTful APIs via the Flask framework.
Ever wanted to know what a NoSQL database is, and how to use one? You'll learn how to do that as well, using Python.
And what is Docker, and what does it mean to "dockerize" your apps? Yep, you guessed it, you will learn that as well in this course.
You'll even learn how to build a machine learning API using TensorFlow for image recognition.
Another hot topic is DevOps, and you will learn about that and go through the process of deploying a RESTful API on an Amazon EC2 instance.
In short, this course is designed to take your basic Python skills and take you to the next level in the shortest period of time.

You can take Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps Certificate Course on Udemy.

5. The "Build a SAAS App with Flask" Course

Build a real-world web app with Python, Flask, and Docker. Learn to accept payments with Stripe and so much more.

Course rating: 4.4 out of 5.0 ( 1,472 Ratings total)

In this course, you will :

See how a large application gets built up in stages
Build complex web applications and websites
Bid for Flask/web development freelance work
Confidence to apply for Flask positions at software companies
Proficiency with server-side development and databases
An awesome Docker-based development environment
Learn how to use Docker to “Dockerize” a web application
Learn what Flask is and how to use its features in your applications
Learn how to create a Python 2 and 3 compatible code-base
Learn how to use PostgreSQL, Redis, and Celery with Flask
Create a full-blown user management system
Create a flexible custom admin interface
Accept both recurring and microtransaction credit card payments
Deal with both HTML template and JSON responses
Logging, middleware and error handling
Database migrations and internationalization (i18n)

You can take The Build a SAAS App with Flask Course Certificate Course on Udemy.

6. The Flask Mega-Tutorial (Python Web Development)

The most complete introduction to web development with Python and Flask

Course rating: 4.7 out of 5.0 ( 268 Ratings total)

In this course, you will :

Write complete web applications using Python and Flask
Accept user input through web forms
Use relational databases
Manage user logins and authentication
Translate and localize application messages
Implement a search engine
Add JavaScript user-friendly features
Application Programming Interfaces (APIs)
Deploy your application on Linux servers or Docker containers
Deploy your application on Heroku

You can take The Flask Mega-Tutorial (Python Web Development) Certificate Course on Udemy.

In case you liked this article, you can also visit the following posts

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Best Courses to become a Scala Developer

Devansh Agarwal — Wed, 02 Sep 2020 03:19:48 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

Confused about the millions of career options available in the IT sector?

Fret not. We have got you covered.

After doing a comparative analysis, we realized that majority of students and early professionals are clueless about their career choices and decisions. They either choose something because of peer pressure or just because some acquaintance advised them to pick it.

Among the countless career opportunities that are available in the market, one lucrative and promising career choice is becoming a Scala Developer.

Salary of a Scala Developer

On an average, a Scala developer makes around $175,500 per annum. Now, that's a significantly large amount. Scala developers mainly work with frameworks like Spark and Big-Data related technologies.

Thus, if you choose to become a Scala developer, then a stable career growth and hefty pay package will be there for you!

Understanding Scala

Scala--Scalable Language, is a multi-paradigm modern programming language. It enables you to express complicated programming constructs easily with a simple and elegant syntax. Martin Odersky created Scala. The first version of the language was released in the year 2003.

Scala helps you to seamlessly integrate the objected-oriented programming with functional programming. Scala is a Java-based programming language. So, if you are familiar with Java (or any other object-oriented language), then learning Scala would not be difficult for you.

Some advantages of Scala are:

External Librarirs
Compile
Concise
Error-Free
Readabile
Concurrent

If you are planning to learn Scala, then you can expect a decent payout. But, finding the best resources to learn the programming language can be a challenge.

We have curated a list of best Scala courses that provide you a roadmap for building your career in the domain from scratch. You can take these courses online as per your convenience.

1. Scala & Functional Programming for Beginners

Become a Scala programmer and get the skills you need to work with Spark, Akka, and any Scala framework!

Course rating: 4.6 out of 5.0 ( 5,489 Ratings total)

In this course, you will :

Understand Scala code in production environments or open-source projects
Think code differently with functional programming
Write applications in Scala from scratch
Contribute to products and open-source projects written in Scala
Learn skills to start developing with powerful tools on top of Scala: Spark, Akka, Play
Deconstruct Scala - which is otherwise hard to learn - into the critical pieces you need
Select the most important Scala concepts and separate them into what is simple but critical and what is powerful
Sequence the ideas in a way that "clicks" and makes sense throughout the process of learning
Apply everything in live Scala code

You can take Scala & Functional Programming for Beginners Certificate Course on Udemy.

2. Learn Apache Spark 3 with Scala: Hands On with Big Data!

Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or Hadoop!

Course rating: 4.5 out of 5.0 ( 11,612 Ratings total)

In this course, you will :

Frame big data analysis problems as Apache Spark scripts
Develop distributed code using the Scala programming language
Optimize Spark jobs through partitioning, caching, and other techniques
Build, deploy, and run Spark scripts on Hadoop clusters
Process continual streams of data with Spark Streaming
Transform structured data using SparkSQL and DataFrames
Traverse and analyze graph structures using GraphX
Learn the concepts of Spark's Resilient Distributed Datastores
Get a crash course in the Scala programming language
Develop and run Spark jobs quickly using Scala
Translate complex analysis problems into iterative or multi-stage Spark scripts
Scale up to larger data sets using Amazon's Elastic MapReduce service
Understand how Hadoop YARN distributes Spark across computing clusters
Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX

You can take Learn Apache Spark 3 with Scala: Hands On with Big Data! Certificate Course on Udemy.

3. Scala and Spark for Big Data and Machine Learning

Learn the latest Big Data technology - Spark and Scala, including Spark 2.0 DataFrames!

Course rating: 4.5 out of 5.0 ( 4,322 Ratings total)

In this course, you will :

Use Scala for Programming
Use Spark 2.0 DataFrames to read and manipulate data
Use Spark to Process Large Datasets
Understand how to use Spark on AWS and DataBricks
Spark and Big Data Ecosystem Overview
Use Spark's MLlib for Machine Learning
Scale-up Spark jobs using Amazon Web Services
Learn how to use Databrick's Big Data Platform

You can take Scala and Spark for Big Data and Machine Learning Certificate Course on Udemy.

4. Advanced Scala and Functional Programming

For Scala developers: become a top-level Scala programmer so you can rock Spark, Akka, Cats, or any Scala tool!

Course rating: 4.7 out of 5.0 ( 1,236 Ratings total)

In this course, you will :

Master the Scala language at the level of the best developers
Master functional programming
Design and implement complex systems, frameworks, and APIs
Confidently customize and enhance existing Scala tools
Think and approach code with maturity and a deep understanding of implications
Deconstruct advanced Scala concepts into the critical pieces you need
Selects the most important ideas in Scala and separates them into the critical and nice-to-have
Sequence ideas in a way that "clicks" and makes sense throughout the process of learning
Apply everything in live code

You can take the Advanced Scala and Functional Programming Certificate Course on Udemy.

5. Streaming Big Data with Spark Streaming & Scala - Hands On!

Hands-on examples of processing massive streams of data - in real-time, on a cluster - with Apache Spark Streaming.

Course rating: 4.6 out of 5.0 ( 2,712 Ratings total)

In this course, you will :

Process massive streams of real-time data using Spark Streaming
Integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis
Use Spark 2's Structured Streaming API
Create Spark applications using the Scala programming language
Output transformed real-time data to Cassandra or file systems
Integrate Spark Streaming with Spark SQL to query streaming data in real-time
Train machine learning models with streaming data, and use those models for real-time predictions
Ingest Apache access log data and transform streams of it
Receive real-time streams of Twitter feeds
Maintain stateful data across a continuous stream of input data
Query streaming data across sliding windows of time
Get a crash course in the Scala programming language
Learn how Apache Spark operates on a cluster
Set up discretized streams with Spark Streaming and transform them as data is received
Use structured streaming to stream into data frames in real-time
Analyze streaming data over sliding windows of time
Maintain stateful information across streams of data
Connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis
Dump streams of data in real-time to NoSQL databases such as Cassandra
Run SQL queries on streamed data in real-time
Train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time
Package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

You can take Streaming Big Data with Spark Streaming & Scala - Hands On! Certificate Course on Udemy.

In case you liked this article, you can also visit the following posts of mine;

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Top 5 Courses to become a Django Developer in 2020

Devansh Agarwal — Mon, 31 Aug 2020 05:46:57 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

The first move towards becoming a proficient Django Developer is to learn. Learn the programming constructs. Learning the designing aspects, development prospects, and maintenance of the developed system.

Now, there can be multiple learning methodologies that you can use. But, conventional methods can be difficult to adapt. You need to understand the practical implementation of the framework.

With the advent of digitalization, online learning has been the best alternative for conventional learning methods. Today, there are millions of resources available online that offer you a complete roadmap for learning programming from scratch.

Why choose Django Development?

Django is an open-source Python-based web framework that follows the model-view-controller(MVC) architecture. It is a ridiculously fast, fully loaded, and reassuringly secure web framework. It was created about twelve years ago, but in April 2019 Django 2.2 was released with a whole new set of features and capabilities!

Django is an amazing framework for web developers because it provides the infrastructure required for database-driven websites that have user authentication, content administration, contact forms, file uploads, and more. Instead of creating all of these features from scratch, you can use the Django framework and utilize these components that are already built, and focus your time on developing your web app instead.

If you are going to be working with Python, especially for web applications or web design, you will want to learn the Django framework. It will save you a ton of time!

Django Developers Remuneration

According to Indeed the average salary of a Python-Django Developer in the US is around $119,167 per year.

Decided to learn Django already? We have got you covered.

Provided the lucrative compensation this career option provides, you should consider learning Django. But the moment you plan to learn it, you are surrounded by another dilemma of where and how to start.

Learning Django

Talking about the IT industry in specific, online learning s considered to be the best practice for education. You can, any day, resort to the heavy books. But, online resources give you a simulation of the real-world environment. Thus, making your learning more effective.

If you are confused about which course to opt for, then refer to the list of Best Django Courses 2020 that has been specially curated keeping in mind the learner-centric approach. The list mainly comprises of Udemy courses, since those are easy to learn and pocket-friendly.

Let's dive in.

1. Python and Django Full Stack Web Developer Bootcamp

Learn to build websites with HTML, CSS, Bootstrap, Javascript, jQuery, Python 3, and Django!

Course rating: 4.5 out of 5.0 ( 32,917 Ratings total)

In this course, you will:

Create a fully functional web site using the Full-Stack with Django 1.11
Learn how to use HTML to create website content
Use CSS to create beautifully styled sites
Learn how to take advantage of Bootstrap to quickly style sites
Use Javascript to interact with sites on the Front-End
Learn how to use jQuery to quickly work with the DOM
Understand HTTP requests
Create fantastic landing pages
Learn the power of Python to code out your web applications
Use Django as a back end for the websites
Implement a full Models-Views-Templates structure for your site

This course will teach you the latest technologies for building great web applications with Python 3 and Django! But it will not just teach that, we also teach the Front End technologies you need to know, including HTML, CSS, and Javascript.

This course is designed so that anyone can learn how to become a web developer. It teaches you how to program by using HD Video Lectures, Walkthrough Code Projects, Exercises, Concept Presentation Slides, Downloadable Code Notes, Reading Assignments, and much more!

This course will include:

HTML5
CSS3
Javascript
jQuery
Bootstrap 3 and 4
Document Object Model
Python
Django Basics
Django Templates
Django Forms
Django Admin Customization
ORM
Class-Based Views
REST APIs
User Authentication

You can take Python and Django Full Stack Web Developer Bootcamp Certificate Course on Udemy.

2. Dominant Django 2 & Python Web Development (Total Bootcamp)

Build three complete websites, learn back and front-end web development, and publish your site online with DigitalOcean

Course rating: 4.5 out of 5.0 ( 4,771 Ratings total)

In this course, you will :

Build any website you want as well as create a Product Hunt clone
Understand how using frameworks like Django will save you a ton of time in web development
Create your own personal portfolio site to showcase your projects to potential employers
Build fully functional websites for your startup or business
Improve your web development and coding resume
Publish your website online with DigitalOcean (a popular web hosting provider)
Create beautifully styled websites using Bootstrap (a front-end framework that simplifies web design)
Be able to connect Django to databases like SQLite and Postgres to help store and track data
Understand Django basics like Function and Class-Based Views, URL routing, Models, Gunicorn, and much more!

You can take Dominant Django 2 & Python Web Development (Total Bootcamp) Certificate Course on Udemy.

3. Python Django Dev To Deployment

Learn Python and build & deploy a real estate application using the Django framework & PostgreSQL. This is a very practical course where you will take a basic HTML/CSS Bootstrap 4 theme and turn it into a real working application with an admin area to manage resources including property listings, realtors, and contact inquiries. This course also has a section on learning basic Python syntax

Course rating: 4.6 out of 5.0 ( 3,611 Ratings total)

In this course, you will :

Learn Python and it's core fundamental syntax
Build a real estate application using the Django framework & Postgres
Learn about apps, templates, models & migrations, admin customization & more
Build virtual environments and deploy using Gunicorn and Nginx

You can take Python Django Dev To Deployment Certificate Course on Udemy.

4. Django & Python: complete BUNDLE + Django real project 2020

Django and python Bundle: from learning all basic of python to advanced python to UI Design TKINTER and then Django

Course rating: 4.5 out of 5.0 ( 1,661 Ratings total)

In this course, you will :

Learn the fundamentals of programming
Learn the Python Programming Language
Learn the Django & Bootstrap frameworks
write a code for a real-world Python program
Create a real-world website with Python Django
learn create UI with Tkinter
create and run real-world text-based RPG game

You can take Django & Python: complete BUNDLE + Django real project 2020 Certificate Course on Udemy.

5. The Complete Python 3 Course: Beginner to Advanced!

Learn Python with projects covering game & web development, web scraping, MongoDB, Django, PyQt, and data visualization!

Course rating: 4.2 out of 5.0 ( 18,713 Ratings total)

In this course, you will :

Install Python on Windows, Linux, and Mac
Setup an IDE
Use programming fundamentals to build a calculator
Use advanced Python concepts to code a role-playing game
Find additional packages to expand the functionality of Python
Install essential modules
Code an app for web scraping
Create a NoSQL database using PyMongo
Create web apps using WebPy
Django web server setup
Program a web browser using PyQt
Use Matplotlib and Pandas for data visualization
Develop a speech recognition app using machine learning

The following topics are covered in this course:

Programming Basics
Python Fundamentals
JavaScript Object Notation (JSON)
Web Scraping
PyMongo (MongoDB)
Web Development
Django Web Framework
Graphical User Interface (GUI) Programming (PyQt)
Data Visualization
Machine Learning

You can take The Complete Python 3 Course: Beginner to Advanced! Certificate Course on Udemy.

Well, if this article keep you hooked till this point, then you must definitely be looking for something more.

If your quest to learn is still incomplete, you can also visit the following posts;

Wait! we have more for you!

You can take Free Django Courses to learn the framework.

Also, a comprehensive range of Best Django Tutorials is also available on Coursesity. You can find multiple courses for a wide array of subjects like Finance, Programming, Business, Technology, Accounting, Meditation, Life Sciences, Personal Development, etc.

And yes! I would love to hear back from you. Anything that you'd like to share, any feedback or duggestions. Please tell me what you liked in the comment section below.

Happy Learning!✨

Data Science Libraries that can help you draw Insights easily!

Devansh Agarwal — Sat, 01 Aug 2020 18:37:02 +0000

Python is considered to be the easiest language to learn for beginners. Not only that, but Python is also popular because of the dynamic set of applications it has. Python has a monopoly in the Data Analytics market along with widespread usage in fields like Artificial Intelligence, Machine Learning, web development, and desktop app development.

Considering the all-around popularity and approbation that Python entails, it is no surprise that it has a rich library-collection attributed to Data Science. Libraries are what speak for Python! You just name it and there's a library for almost everything under the sky.

Taking into consideration, the current market trends, Data Science is one of the most sought after career options. If playing with Data and drawing useful conclusions out of it fascinates you, then this is your thing! Python, being one of the most popular programming languages has a rich library-set for Data Science. Python is majorly used for Data Mining, Data Processing & Modelling, Data Visualization, and Data extraction.

Thus, we have curated a list of 10 most popular Python libraries that are used in Data Science. Dedicated to all the data enthusiasts and Data Scientist, we hope this listicle add value to you! Thus moving ahead, the Top 10 Data Science Libraries are;

NumPy

NumPy is a Python library majorly used for data analysis, scientific computations, and data science. NumPy majorly supports multi-dimensional array and matrices. It is one of the most fundamental data science libraries in Python. NumPy is also used internally by Tensorflow and many other Python libraries to perform operations on Tensors. NumPy is more like a general-purpose Python package that

Pandas

Pandas is another Python library which is best suited for wrangling and merging data. Pandas is mainly used for easy and quick data manipulation, data aggregation, and data visualization. Pandas is used to create data frames(Python Objects) from a CSV file.

Matplotlib

Matplolib is another useful Python library for Data Visualization. Descriptive analysis and visualizing data is very important for any organization. Matplotlib provides various methods to Visualize data more effectively. Matplotlib allows us to quickly make line graphs, pie charts, histograms, and other professional-grade figures. Using Matplotlib, one can customize every aspect of a figure. Matplotlib has interactive features like zooming and planning and saving the Graph in graphics format.

Scikit-Learn

Scikit-Learn is one of the most dynamic and widespread machine learning libraries for classical ML algorithms. It is built on top of two basic Python libraries, which are, NumPy and SciPy. Scikit-Learn provides sustenance to most of the supervised and unsupervised learning algorithms. This library can also be used for data-mining, data gathering, and data analysis, which makes it a great tool for beginners.

Scikit-learn is a free-of-cost machine learning library attributed to Python. It features various algorithms including classification, regression, and clustering algorithms along with support vector machines, gradient boosting, random forests, k-means, etc.

Tensorflow

According to Wikipedia, TensorFlow is a free and open-source programming construct, often referred to as a library for data-flow and differentiable programming which is employed across a wide array of tasks. It is a library that is used for machine learning applications such as neural networks, fuzzy logic, and genetic algorithms.

Tensorflow is, by far, one of the most popular Machine Learning libraries in the world today, it wasn’t the first one to be used, but when it was launched in the market, due to the ease of usage and simple syntax, it witnessed a great upsurge and rapidly to surpassed all the libraries that existed in the market.

Keras

Keras is a substantial Machine Learning library for Python. It is a high-level neural networks API which has the potential of running on top of TensorFlow, CNTK, or Theano. It can run smoothly on CPU and GPU indifferently. Keras makes it effortless for ML beginners to build, design, and construct a Neural Network. Easy and quick prototyping is a strong characteristic of Keras.

Keras is a deep learning library that wraps around the functionalities of other libraries like Tensorflow, Theano, or CNTK. Written in Python. Keras has upper-hand on its competitors like Scikit-learn and PyTorch because it runs on top of Tensorflow.

Scrapy

Scrapy is a Python framework that is extensively used for web scrapping. Scrapy is extensively used for extracting, storing, and processing a large amount of web data. Scrapy enables us to handle a large amount of data with ease.

Some of the major applications of Scrapy include web-scraping, extraction of data, and other information, and this data is eventually used for decision-making purposes. Scrapy is an indispensable component of Data Science as it helps us to gather data, store it compactly, and analyze it to draw meaningful conclusions.

Seaborn

Seaborn is predominantly a data visualization library that is built on top of Matplotlib. This library equips you with the ability to curate informative and statistical visuals along with illustrative graphs. Seaborn makes data visualization, an indispensable part of data exploring and analyzing. The library is best-suited for examining relationships among multiple variables.

Seaborn internally performs all the important semantic mapping and statistical aggregation for producing informative plots. This Python library for data visualization also has tools for picking up colors to customize data-sets in graphs.

SciPy

SciPy is a Python library that consists of a multitude of modules for integration, linear algebra, mathematical computing, optimization, and statistics. This open-source Python library allows developers and data engineers to get their hands dirty with Fourier transforms, ODE solvers, signal and image processing, and the likes.

Plotly

The Plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.

Built on top of the Plotly JavaScript library (plotly.js), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.

Conclusion

Thus, to sum up, we can say that the Top 10 Data Science Libraries is essential if you want to build a career in the domain of Data Analytics and the likes. Today, Data is taking over the world, data is more precious than any resource in the IT industry. With data, if cleaned and worked upon properly, you can turn things upside-down. You get insights from data, that can help you pave the way for the successful execution of your company and it's offerings.

Therefore, being acquainted with this cutting-edge technology will help you make a promising career in the industry with a fat payout, of course!

Learning Redux - An Overview of Best Courses

Devansh Agarwal — Sat, 25 Jul 2020 09:53:39 +0000

Redux—A predictable state container for Javascript apps.

Redux enables you to build apps that behave consistently. The apps built using Redux are independent of the environment it runs in.

Applications and Softwares written in REDUX are easy to test. And debugging, being an important aspect of the SDLC emphasizes the importance of the ease of testing.

The applications build in Redux are centralized. This means that using these apps, one can leverage potential capabilities like undo/redo and state persistence, to name a few.

Another interesting feature that Redux-based apps offer is real-time change-tracking. In simple terms, it lets you track the When, Where, Why, and How of the changes made in the application's state.

Apart from the ones mentioned above, there is a multitude of features that Redux caters its users with. It equips the developers with time-travel debugging, flexibility to work with any UI layer, and a wide array of add-ons to choose from.

All said and done, the usability and dynamic performance of Redux cannot go unnoticed. Also, this makes Redux, a skill worth learning.

Therefore, to smoothen your learning journey, we have curated a list of Best Redux Courses that you should certainly opt for if you wish to get good hands-on experience of the skill.

The Best Redux Courses & Tutorials

1. Modern React with Redux Training Course

Master React v16.6.3 and Redux with React Router, Webpack, and Create-React-App. Includes Hooks!

Course rating: 4.6 out of 5.0 ( 58,239 Ratings total)

In this course, you will :

Build amazing single-page applications with React JS and Redux.
Master fundamental concepts behind structuring Redux applications.
Realize the power of building composable components.
Be the engineer who explains how Redux works to everyone else because you know the fundamentals so well.
Become fluent in the toolchain supporting React, including NPM, Webpack, Babel, and ES6/ES2015 Javascript syntax.
Master the fundamental features of React, including JSX, state, and props
From square one, understand how to build reusable components
Dive into the source code of Redux to understand how it works behind the scenes
Test your knowledge and hone your skills with numerous coding exercises
Integrate React with advanced browser features, even geolocation API's!
Use popular styling libraries to build beautiful apps
Master different techniques of deployment so you can show off the apps you build!
See different methods of building UI's through composition of components

You can take Modern React with Redux Training Course Certificate Course on Udemy.

2. Building Applications with React and Redux

Learn how to use React, Redux, React Router, and modern JavaScript to build an app with React. Use Webpack, Babel, Jest, React Testing Library, Enzyme, and more to build a custom React development environment and build process from the ground up.

Course rating: 5.0 out of 5.0 ( 1556 Ratings total)

In this course, you will :

Learn how to use React, Redux, React Router, and modern JavaScript to build powerful and fast React applications from the ground up.
Use Webpack, Babel, ESLint, npm scripts, Jest, React Testing Library, Enzyme, and more.
Create a rapid feedback development environment that runs linting and tests, transpiles modern JavaScript, runs a local webserver, opens the application, and reloads changes when you hit save.
Deploy with a single command.
This course lays out a clear path for building robust, scalable React applications using today's modern and popular technologies.

You can take Building Applications with React and Redux Certificate Course on Pluralsight.

3. Server Side Rendering with React and Redux

Build React, Redux, and React Router apps using Server Side Rendering (SSR), Isomorphic, and Universal JS techniques

Course rating: 4.7 out of 5.0 ( 2,721 Ratings total)

In this course, you will :

Understand the challenges of Server Side Rendering.
Build a server-side rendering boilerplate project.
Use React, Redux, and React Router to conquer Search Engine Optimization.
Master techniques for data loading on the server.
Construct server architectures that can easily scale for large apps.
Learn the architectural considerations of building a server-side rendered app
Connect a Webpack-powered front and backend app together
Communicate data from your server to client using Redux initial state to your React application
Secure your application from common XSS attacks caused by state rehydration
Understand how to route user requests on the front end with React Router and on the backend with Express
Handle errors and redirects properly that occur during the server rendering process
Authenticate your users with cookie-based authentication during the server rendering phase
Understand why JWT's are not appropriate for use in a server-rendered app
Enhance authentication flows in your app with Google OAuth authentication

You can take Server Side Rendering with React and Redux Certificate Course on Udemy.

4. Redux Fundamentals

Redux is a powerful tool to help keep your JS state manageable as your app scales. In this course, you'll learn how to quickly reap the benefits of Redux for any web app, whether you use React or not.

Course rating: 4.5 out of 5.0 ( 108 Ratings total)

In this course, you will :

Learn how to transform an existing web app to use Redux.
First, you'll explore a React app with state problems and look at whether you should use Redux to fix these state problems.
Next, you'll discover how to apply Redux piece by piece and analyze the basic building blocks of Redux in simple terms.
Then, you'll delve into migrating your React app to Redux.
Finally, you'll learn how to add Redux to any web app.
By the end of this course, you'll be able to add Redux to an existing app or a brand new web application with confidence and be able to exercise good judgment to choose when, how, and if using Redux is the right choice for your team.

You can take Redux Fundamentals Certificate Course on Pluralsight.

5. Advanced React and Redux Tutorial: 2019 Edition

Walkthroughs on advanced React v16.6.3 and Redux v4.0.0 - Authentication, Testing, Middlewares, HOC's, and Deployment

Course rating: 4.6 out of 5.0 ( 9,180 Ratings total)

In this course, you will :

Build a scalable API with authentication using Express, Mongo, and Passport.
Learn the differences between cookie-based and token-based authentication.
Figure out what a Higher Order Component and how to use it to write dramatically less code.
Write Redux middleware from scratch to uncover what is happening behind the scenes with Redux.
Set up your own testing environment with Jest and Enzyme.
Realize the power of building composable components.
Learn how to thoroughly test React and Redux code, including tests for action creators and reducers
Get familiar with Higher-Order Components. Don't know what they are? No problem, you have been using them without even knowing it!
Rewrite a popular Redux Middleware from scratch to handle asynchronous actions
Become a master of the trickiest topic in Javascript: authentication.
You will write a server with enterprise-grade authentication from scratch that can scale to hundreds of thousands of users. No shortcuts, no dummy data.

You can take Advanced React and Redux Tutorial: 2019 Edition Certificate Course on Udemy.

Well, if this article keep you hooked till this point, then you must definitely be looking for something more.

If your quest to learn is still incomplete, you can also visit the following posts;

And yes! I would love to hear back from you. Anything that you'd like to share, any feedback or duggestions. Please tell me what you liked in the comment section below. Happy Learning!✨

Disclosure: This post includes affiliate links; we may receive compensation if you purchase products or services from the different links provided in this article.

PWA Courses that will make you a Pro!

Devansh Agarwal — Thu, 16 Jul 2020 09:55:33 +0000

Progressive Web Apps (PWAs) are the next big thing in web development as they bring mobile-app-like experiences to your users without requiring them to install an app from the app store/ play store.

A Progressive Web App or PWA is a web application that has a set of capabilities (similar to native apps) which provide an app-like experience to users. PWAs need to meet a set of essential requirements that we'll see next. PWAs are similar to native apps but are deployed and accessible from web servers via URLs, so we don't need to go through app stores.

Having the skills to build and optimize these kind of web apps is already an important and highly demanded skill for modern web developers, a trend which is only going to accelerate! Therefore, learning how to build PWAs will give you a competitive edge!

Therfore, we have curated a list of Best PWA Courses in order to excel the skil.

1. Progressive Web Apps (PWA) - The Complete Guide Course

Build a Progressive Web App (PWA) that feels like an iOS & Android App, using Device Camera, Push Notifications and more

Course rating: 4.7 out of 5.0 ( 7,781 Ratings total)

In this course, you will :

Build web apps that look and feel like native mobile apps for iOS and Android.
Use service workers to build web apps that work without internet connection (offline-first).
Leverage device features like the camera and geolocation in your web apps.
Use web push notifications to increase user engagement with your web apps.
This course will teach you how to add features such as camera access, service workers for offline support, push notifications and more.
This combines the best of both worlds: You deliver fast, engaging and reliable experiences whilst still having the reach and accessibility of a web page.
How to use an app manifest to make your web app installable on device homescreens
Using service workers to offer offline support by caching assets
Advanced service worker usage and caching strategies
A refresher on Promises and the Fetch API as both concepts are heavily used in PWAs
How to improve user engagement by adding push notifications
A way to synchronize data in the background, even if connection is lost
How to access native device features like the camera or geolocation
Using Workbox to make service worker management easier
Explanations on how to turn your next SPA project into a PWA

You can take Progressive Web Apps (PWA) - The Complete Guide Course Certificate Course on Udemy .

2. Progressive Web Apps: The Big Picture

This course helps you understand the platform of progressive web apps, how it works, and when to choose it for developing your next app. You will see PWAs in action, in mobile and desktop, and see how to distribute them to end-users.

Course rating: 4.5 out of 5.0 ( 29 Ratings total)

In this course, you will :

Gain the ability to understand the PWA platform before starting your next project.
First, you will learn the differences compared to other app development approaches.
Next, you will discover the main components, including the service worker, and how to get the installed app experience on desktop, Android, iOS, and iPadOS.
Finally, you will explore how to start a PWA project and how to distribute the app from the browser or stores, including end-user and enterprise deployments.
When you are finished with this course, you will have the skills and knowledge of progressive web apps needed to start a project for a new app or to upgrade your current apps.

You can take Progressive Web Apps: The Big Picture Certificate Course on Pluralsight .

3. Progressive Web Apps: The Concise PWA Masterclass

Everything you need to build Progressive Web Apps from Scratch, or upgrade your existing Web Apps to PWAs.

Course rating: 4.6 out of 5.0 ( 554 Ratings total)

In this course, you will :

Understand the purpose of PWAs.
Learn each aspect of the Service Worker API and the Caching API in depth.
Learn to add PWA technologies into existing web apps with the help of progressive enhancement.
Convert an existing web app to a full-featured Progressive Web App without compromising support for older Browsers.
Audit and improve a Progressive Web App with the help of Google Lighthouse testing tool.

You can take Progressive Web Apps: The Concise PWA Masterclass Certificate Course on Udemy .

4. Building Progressive Web Apps with Ionic

Everything changed when Google created the concept of Progressive Web Applications or PWA. A PWA is a pure web application that you can install on devices, that can function with limited network functionality, through its use of intelligent caching.

Course rating: out of 5.0 ( 0 Ratings total)

In this course, you will :

Learn foundational knowledge and gain the ability to create a web application that will run anywhere: the browser, desktop, or mobile clients.
First, you will learn what a Progressive Web App (or PWA) is.
Next, you will discover how to use the Ionic Framework, Angular, and Firebase to create, deploy, and optimize a basic web application into a full-blown PWA.
Finally, you will explore how to configure the application to make it installable and runnable on Androids and iPhones.
When you’re finished with this course, you will have the skills and knowledge of Ionic and PWAs needed to create and deploy your own Progressive Web Application anywhere you desire.

You can take Building Progressive Web Apps with Ionic Certificate Course on Pluralsight .

5. Learn Angular 8 by building a Progressive Web App (PWA)

Develop a real world Movie Browser app and deploy on Google's Firebase free hosting service

Course rating: 4.6 out of 5.0 ( 76 Ratings total)

In this course, you will :

Install Node, Angular CLI, Firebase tools..
Create a new Angular 8 app from scratch..
Build a production ready application..
Develop a real "Movie browser" Application..
Deploy to Google Firebase's free hosting service..
Understand what a PWA (Progressive Web Apps) is..
Test your Angular 8 application on Android phone.
Install the Movie browser app as a desktop application.
Run your app even when you are offline (using service workers).
Create web applications that look and feel like native mobile apps.

You can take Learn Angular 8 by building a Progressive Web App (PWA) Certificate Course on Udemy .

Well, if this article keep you hooked till this point, then you must definitely be looking for something more.

If your quest to learn is still incomplete, you can also visit the following posts;

And yes! I would love to hear back from you. Anything that you'd like to share, any feedback or duggestions. Please tell me what you liked in the comment section below. Happy Learning!✨

Disclosure: This post includes affiliate links; the client may receive compensation if you purchase products or services from the different links provided in this article.

Courses That will make you crack the AWS Certification Exam!

Devansh Agarwal — Mon, 13 Jul 2020 17:13:27 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

AWS, the shorthand for Amazon Web Services is the leading Cloud Service Provider branch of Amazon. AWS is widely used to deploy web apps on the cloud and even deploying serverless web apps. AWS has inbuilt modules for every technology like Big Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and a lot more. For every technological module that we need to instigate in the web-app, and AWS package is available. Thus, the dynamic extensibility of AWS makes it the ace among all.

AWS Certification validates cloud expertise to help professionals highlight in-demand skills and organizations build effective, innovative teams for cloud initiatives using AWS. Thus, to flaunt your polished cloud skills, you must take the AWS Certification to add more credibility to your career.

Here, we have curated a list of resources for Best AWS Certification Courses which you can take in order to learn the skill and enhance the existing ones!

1. AWS Certified Developer: AWS Developers Certification Training

Do you want AWS certification? Do you want to be an AWS Certified Developer Associate? This AWS online course is for you

Course rating: 4.4 out of 5.0 ( 36,691 Ratings total)

In this course, you will :

Pass the AWS Certified Developer - Associate 2020 Exam
Become confident in creating basic Python and PHP code to manipulate AWS environments
Become intimately familiar with the AWS platform from a developer perspective.
Become Amazon Certified
Become A Cloud Guru

You can take the AWS Certified Developer: AWS Developers Certification Training Certificate Course on Udemy.

2. AWS Certified DevOps Engineer: Security, Governance, and Validation

This is the third in a series of four courses that will prepare you for the AWS Certified DevOps Engineer Certification.

Course rating: 5.0 out of 5.0 ( 39 Ratings total)

In this course, you will :

-You will cover the domain objectives for the security, governance, and validation portion of the exam.

You can take the AWS Certified DevOps Engineer: Security, Governance, and Validation Certificate Course on Pluralsight.

3. Ultimate AWS Certified Solutions Architect Associate (SAA)

Pass the AWS Certified Solutions Architect Associate Certification SAA-C02. Complete Amazon Web Services training!

Course rating: 4.7 out of 5.0 ( 35,224 Ratings total)

In this course, you will :

All 600+ slides available as downloadable PDF
Perform Real-World Solution Architecture on AWS
Learn the AWS Fundamentals (EC2, ELB, ASG, RDS, ElastiCache, S3)
Learn the Serverless Fundamentals (Lambda, DynamoDB, Cognito, API Gateway)
Analyze 10+ Solution Architectures (traditional & serverless)
Understand the Well-Architected Framework, Disaster Recovery
Master all the differences of Databases on AWS
Secure your entire AWS Cloud using KMS, IAM Policies & SSM

You can take the Ultimate AWS Certified Solutions Architect Associate (SAA) Certificate Course on Udemy.

4. Demystifying the AWS Certified SysOps Administrator: Associate Exam

The AWS Certified SysOps Administrator: Associate Exam validates an individual's ability to perform the task of a system administrator in the AWS cloud. This course will teach you the concepts and foundational knowledge to prepare for this exam.

Course rating: 5.0 out of 5.0 ( 13 Ratings total)

In this course, you will :

Learn foundational knowledge to is help increase your chances of gaining the coveted AWS certification to prove your knowledge and kickstart your career.
First, you will explore important AWS services.
Then, you will discover conceptual architecture diagrams.
Finally, you will take some practice questions that are similar to those asked on the actual certification exams.
When you finish this course, you will know how to prepare for and gain the skills to pass the AWS Certified SysOps Administrator: Associate Exam.

You can take Demystifying the AWS Certified SysOps Administrator: Associate Exam Certificate Course on Pluralsight.

5. [NEW] Ultimate AWS Certified Cloud Practitioner - 2020

Pass the AWS Certified Cloud Practitioner Certification CLF-C01. Amazon Web Services Certified Cloud Practitioner exam!

Course rating: 4.8 out of 5.0 ( 6,574 Ratings total)

In this course, you will :

FULLY UPDATED FOR CLF-C01: Pass the AWS Certified Cloud Practitioner Certification.
All 300+ slides are available as downloadable PDFs.
Learn the AWS Fundamentals (EC2, ELB, ASG, RDS, ElastiCache, S3).
It covers in-depth all the new topics on the AWS Certified Cloud Practitioner CLF-C01 exam
It's packed with practical knowledge on how to use AWS inside and out
We are going to learn by doing
It teaches you how to prepare for the AWS exam
It's a logical progression of topics, not a laundry list of random services
It's fast-paced and to the point
It has professional subtitles
All 300+ slides available as downloadable PDF

You can take [NEW] Ultimate AWS Certified Cloud Practitioner - 2020 Certificate Course on Udemy.

Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote and share it in your network. In case you want to explore more, you can take the Free AWS Courses

In case you liked this article, you can also visit the following posts of mine;

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

GraphQL Courses you must Take!

Devansh Agarwal — Thu, 09 Jul 2020 09:05:37 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

GraphQL is a query language that provides an efficient, powerful, and flexible approach to developing web APIs. GraphQL has gained immense popularity in the last few years with many Fortune 500 companies using it for their product development.

GraphQL is quickly changing how Node.js developers write their APIs and backend applications. It offers a much-needed replacement to the traditional REST HTTP API.
GraphQL can be used with any client that has internet access, whether it’s a web app, mobile app, or server-side application.

Big and small companies, from Twitter and Facebook to Yelp and Twitch, are switching from frameworks like Express to GraphQL. More and more teams are choosing GraphQL instead of (or along with) REST for their web APIs. GraphQL queries give clients great flexibility in the way they request data from the server, preventing issues such as over-etching or under fetching of data, and allowing multiple resources to be retrieved in a single request.

All said and done, the fact that GraphQL is omnipresent in the modern IT landscape, cannot be ignored. If you are a Javascript buff, then you must certainly try your hands at this framework/language.
Thus, we have brought to Best GraphQL Courses that you can get your hands dirty with!

GraphQL with React Course: The Complete Developers Guide
GraphQL: The Big Picture
The Modern GraphQL Bootcamp (Learn Node.js and Apollo)
Building Scalable APIs with GraphQL
Learn GraphQL through Examples: Write Full Stack Java Applications
Building GraphQL APIs with ASP.NET Core

1. GraphQL with React Course: The Complete Developers Guide

Learn and master GraphQL by building real web apps with React and Node

Course rating: 4.5 out of 5.0 ( 6,827 Ratings total)

In this course, you will :

Build amazing single-page applications with React JS and GraphQL.
Master fundamental concepts behind structuring GraphQL servers.
Realize the power of building flexible data schemas.
Be the engineer who explains how GraphQL works to everyone else because you know the fundamentals so well.
Become fluent in the ecosystem supporting GraphQL, including the differences between Apollo and Relay.
You will start by mastering the fundamentals of GraphQL, including data types, schemas, and integration with Express and React.
Learn how to use GraphQL's schema to define relations between your data objects
Learn the process of combining a backend server with a front end React
Master the process of thinking about the data of your application in terms of a graph structure
Grasp the difference between GraphQL, Apollo, and Relay, and when to use each
Develop apps that are unique, fun, and responsive.
Build servers that can be used with both React and React Native applications
Master handling authentication with GraphQL
Learn the core principles of navigation with React Router and GraphQL

You can take GraphQL with React Course: The Complete Developers Guide Certificate Course on Udemy.

2. GraphQL: The Big Picture

In this course, you will learn about GraphQL, it's core concepts, and why you should choose GraphQL to build your APIs. Explore the growing GraphQL ecosystem and tools that provide you a superior developer experience.

Course rating: 4.5 out of 5.0 ( 172 Ratings total)

In this course, you will :

Learn why GraphQL has become so popular.
First, you will explore a big picture overview of GraphQL, and learn about its core concepts.
Next, you will examine when and why you should choose GraphQL.
Finally, you will discover the diverse GraphQL ecosystem and tools that are available today.
After watching this course, you will have a clear understanding of GraphQL's core features, capabilities, and advantages.
This course will enable you to make an informed decision on whether GraphQL is right for your company.

You can take GraphQL: The Big Picture Certificate Course on Pluralsight.

3. The Modern GraphQL Bootcamp (Learn Node.js and Apollo)

Learn how to build GraphQL applications using Node.js. Includes Prisma v1, authentication, Apollo Client, and more!

Course rating: 4.7 out of 5.0 ( 3,250 Ratings total)

In this course, you will :

Learn and master GraphQL by building real-world Node applications.
Use Prisma v1 to store and access data from a production database.
Use Apollo Client to communicate with GraphQL from your web app.
Learn how to deploy and test your GraphQL applications.
Test your skills and gain confidence by completing more than 80 coding challenges.
Get access to a free 110-page PDF guide with lecture notes, code samples, and documentation links.
You will learn how to use GraphQL to replace the standard Express HTTP API, as well as support features like authentication, real-time applications, and more.
You will master the fundamentals of GraphQL by building out a blogging application.
You will learn about GraphQL schemas, data types, queries, mutations, subscriptions, and many other fantastic GraphQL features.
Model your application data using schemas
Create queries and subscriptions allowing clients to access data in the database
Create mutations allowing clients to create and change data in the database
Query and change your data from the browser by making requests with Apollo Client
Work with the Prisma ORM (v1) to communicate with your database via a GraphQL API
Deploy your GraphQL applications to production
Secure your application data with an authentication system
Write an automated test suite for your application

You can take The Modern GraphQL Bootcamp (Learn Node.js and Apollo) Certificate Course on Udemy.

4. Building Scalable APIs with GraphQL

GraphQL is a query language and runtime that can provide a common interface between client and server applications for fetching and manipulating data. This course will show you how to build and consume GraphQL APIs with real-world examples.

Course rating: 4.5 out of 5.0 ( 176 Ratings total)

In this course, you will :

Learn what separates GraphQL from other languages and API runtimes, like REST APIs, as well as what problems GraphQL solves, and how to use it for declarative data communication.
This course is a good place to start for learning GraphQL, but to get the most from this course, you should have some experience with JavaScript and with databases, like MongoDB and PostgreSQL.
You will learn how to create a GraphQL schema and how to use it via any interface, including an HTTP-based one.
You will learn about the different features of the GraphQL language as well as how to build them in a GraphQL server.
Next, you will learn to use multiple databases with GraphQL, how to model relationships between different entities and collections, and how to use caching and batching via tools like Dataloader to avoid extra queries to the database and to solve problems like the N+1 queries problem.
Finally, you will learn how to work with promises, mutations, union types, and how to use database views with GraphQL.
By the end of this course, you will know how to build and consume a GraphQL API, and how to do so efficiently.

You can take Building Scalable APIs with GraphQL Certificate Course on Pluralsight.

5. Learn GraphQL through Examples: Write Full Stack Java Applications

Learn GraphQL by writing full-stack JavaScript applications with Node.js, Express, Apollo Server, React, Apollo Client.

Course rating: 4.6 out of 5.0 ( 798 Ratings total)

In this course, you will :

Build a GraphQL server based on NodeJS, Express, and Apollo Server.
Invoke GraphQL APIs from JavaScript client applications using regular HTTP requests or Apollo Client.
Handle Authentication/Authorization, Caching, and more.
You will learn how to use GraphQL both on the server-side and in client applications through practical examples in the form of full-stack JavaScript applications.
You will be introduced to all the main GraphQL concepts like schema definition, Queries, Mutations, and Subscriptions, as well as to a solution to common requirements such as handling authentication/authorization and client-side caching.

You can take Learn GraphQL through Examples: Write Full Stack Java Applications Certificate Course on Udemy.

6. Building GraphQL APIs with ASP.NET Core

How would you like an API that doesn't use REST, but contains just one endpoint that has the ability to return data in a form that exactly suits the data-consuming application? This becomes a reality with GraphQL for .NET.

Course rating: 4.5 out of 5.0 ( 103 Ratings total)

In this course, you will :

Learn to implement GraphQL in your ASP.NET Core API and write queries against it.
First, you will explore how using GraphQL has lots of benefits compared to REST or SOAP.
Next, you will very quickly understand the basic principles of GraphQL and shortly after, you can start building your own GraphQL endpoint in ASP.NET Core.
Finally, you will discover how schemas provide metadata to clients, how queries are written for data retrieval and mutations.
By the end of this course, you will be amazed by the ability that your GraphQL endpoint has to actively contact the client when changes occur with subscriptions.

You can take Building GraphQL APIs with ASP.NET Core Certificate Course on Pluralsight.

Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote and share it in your network. In case you want to explore more, you can take the Free GraphQL Courses

In case you liked this article, you can also visit the following posts of mine;

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Best Tensorflow Courses [2020]

Devansh Agarwal — Thu, 09 Jul 2020 07:18:42 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

TensorFlow is an open-source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization to conduct machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

It is used by major companies all over the world, including Airbnb, eBay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!

Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

Thus, considering the fact of how widespread and popular, this library is, you should certainly learn TensorFlow. And to facilitate your learning, we have curated a list of Best Tensorflow Courses that you must take to get yourself acquainted with the skill.

Total TensorFlow Guide: Deep Learning with Python Course
TensorFlow: Getting Started
Tensorflow 2.0: Deep Learning and Artificial Intelligence
Understanding the Foundations of TensorFlow
Complete Tensorflow 2 and Keras Deep Learning Bootcamp

1. Total TensorFlow Guide: Deep Learning with Python Course

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

Course rating: 4.4 out of 5.0 ( 14,661 Ratings total)

In this course, you will :

Understand how Neural Networks Work.
Build your own Neural Network from Scratch with Python.
Use TensorFlow for Classification and Regression Tasks.
Use TensorFlow for Image Classification with Convolutional Neural Networks.
Use TensorFlow for Time Series Analysis with Recurrent Neural Networks.
Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders.
Learn how to conduct Reinforcement Learning with OpenAI Gym.
Create Generative Adversarial Networks with TensorFlow.
Become a Deep Learning Guru!.
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning!
This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand.

You can take Total TensorFlow Guide: Deep Learning with Python Course Certificate Course on Udemy.

2. TensorFlow: Getting Started

This course shows you how to install and use TensorFlow, a leading machine learning library from Google. You'll see how TensorFlow can create a range of machine learning models, from simple linear regression to complex deep neural networks.

Course rating: 4.0 out of 5.0 ( 198 Ratings total)

In this course, you will :

You'll see how TensorFlow easily addresses these concerns by learning TensorFlow from the bottom up.
First, you'll be introduced to the installation process, building simple and advanced models, and utilizing additional libraries that make development even easier.
Along the way, you'll learn how the unique architecture in TensorFlow lets you perform your computing on systems as small as a Raspberry Pi, and as large as a data farm.
Finally, you'll explore using TensorFlow with neural networks in general, and specifically with powerful deep neural networks.
By the end of this course, you'll have a solid foundation on using TensorFlow, and know to apply TensorFlow to create your machine learning solutions.

You can take TensorFlow: Getting Started Certificate Course on Pluralsight.

3. Tensorflow 2.0: Deep Learning and Artificial Intelligence

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

Course rating: 4.6 out of 5.0 ( 2,756 Ratings total)

In this course, you will :

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs).
Predict Stock Returns.
Time Series Forecasting.
Computer Vision.
How to build a Deep Reinforcement Learning Stock Trading Bot.
GANs (Generative Adversarial Networks).
Recommender Systems.
Image Recognition.
Convolutional Neural Networks (CNNs).
Recurrent Neural Networks (RNNs).
Use Tensorflow Serving to serve your model using a RESTful API.
Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices.
Use Tensorflow's Distribution Strategies to parallelize learning.
Low-level Tensorflow, gradient tape, and how to build your custom models.
Natural Language Processing (NLP) with Deep Learning.
Demonstrate Moore's Law using Code.
Transfer Learning to create state-of-the-art image classifiers.
Deep Learning has been responsible for some amazing achievements recently, such as:
Generating beautiful, photo-realistic images of people and things that never existed (GANs)
Beating world champions in the strategy game Go, and complex video games like CS: GO and Dota 2 (Deep Reinforcement Learning)
Self-driving cars (Computer Vision)
Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)
Even creating videos of people doing and saying things they never did (DeepFakes - a potentially nefarious application of deep learning)

You can take Tensorflow 2.0: Deep Learning and Artificial Intelligence Certificate Course on Udemy.

4. Understanding the Foundations of TensorFlow

This course introduces TensorFlow, an open-source data flow library for numerical computations using data flow graphs.

Course rating: 4.5 out of 5.0 ( 138 Ratings total)

In this course, you will :

Learn the TensorFlow library from very first principles.
First, you'll start with the basics of machine learning using linear regression as an example and focuses on understanding fundamental concepts in TensorFlow.
Next, you'll discover how to apply them to machine learning, the concept of a Tensor, the anatomy of a simple program, basic constructs such as constants, variables, placeholders, sessions, and the computation graph.
Then, you'll be introduced to TensorBoard, the visualization tool used to view and debug the data flow graphs.
You'll work with basic math operations and image transformations to see how common computations are performed.
Finally, you'll solve a real-world machine learning problem using the MNIST handwritten dataset and the k-nearest-neighbors algorithm.
By the end of this course, you'll have a better understanding of the foundations of TensorFlow.

You can take Understanding the Foundations of TensorFlow Certificate Course on Pluralsight.

5. Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!

Course rating: 4.6 out of 5.0 ( 2,403 Ratings total)

In this course, you will :

Learn to use TensorFlow 2.0 for Deep Learning.
Leverage the Keras API to quickly build models that run on Tensorflow 2.
Perform Image Classification with Convolutional Neural Networks.
Use Deep Learning for medical imaging.
Forecast Time Series Data with Recurrent Neural Networks.
Use Generative Adversarial Networks (GANs) to generate images.
Use deep learning for style transfer.
Generate text with RNNs and Natural Language Processing.
Serve Tensorflow Models through an API.
Use GPUs for accelerated deep learning.

You can take Complete Tensorflow 2 and Keras Deep Learning Bootcamp Certificate Course on Udemy.

Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote and share it in your network. In case you want to explore more, you can take the Free TensorFlow Courses

In case you liked this article, you can also visit the following posts of mine;

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨

Learn Linux with the Best!

Devansh Agarwal — Wed, 01 Jul 2020 16:50:11 +0000

Disclosure: This post includes affiliate links; our team may receive compensation if you purchase products or services from the different links provided in this article.

Linux is an operating system that forms the foundation for all of the other software applications on a system, receiving requests from those programs, and forwarding these requests to the computer’s hardware.

Linux is a class of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991, by Linus Torvalds. Linux is typically packaged in a Linux distribution.

Let us understand the relationship between Linux & DevOps with a case study. Today, the majority of the companies, startups, and small & large enterprises are leveraging Linux for their operations. Even if, the companies use a Windows-based environment, it will still have Linux at the core. Thus, having working and implementation knowledge of Linux is crucial for being able to be successful as a DevOps professional.

Therefore, we have curated a list of Best Linux Courses that you can take to build strong concepts and strengthen your DevOps acumen.

1. Linux Command Line Basics: Learn Linux Command Line

This is an introductory course to the Linux command line. It's great for both Linux beginners and advanced Linux users.

Course rating: 4.5 out of 5.0 ( 12090 Ratings total)

In this course, you will :

realize the potential of the Linux command line.
navigating the Linux Filesystem.
explain the Linux Filesystem hierarchy.
use command options.
create hard and soft links.
use powerful Linux wild cards.
create, view, and manipulate files.
use different Linux text editors (nano,gedit).
find help while using the Linux command line.
create your own Linux commands.

You can take Linux Command Line Basics: Learn Linux Command Line Certificate Course on Udemy.

2. Getting Started with Linux System Administration

There are all kinds of job roles that would go better with Linux admin skills. Whether you're primarily responsible for DevOps deployments, web applications, databases, or CI/CD infrastructure, you really can't go wrong with more Linux.

Course rating: 5.0 out of 5.0 ( 58 Ratings total)

In this course, you will :

Be introduced to some Linux administration basics.
First, you will learn about monitoring and optimizing a Linux server.
Next, you will be configuring user accounts and groups to closely control access to resources.
Finally, you will explore how to harden your server by ensuring that your data is appropriately encrypted and network ports are not unnecessarily left open.
When you are done, you will have Linux skills that can add value to a broad range of IT projects.

You can take Getting Started with Linux System Administration Certificate Course on Pluralsight.

3. Linux Shell Scripting: Learning Projects for Beginners

Learn how to shell script through project-based training (Bash Scripting, Bash Programming, Sed, Grep, Awk, and More)

Course rating: 4.5 out of 5.0 ( 4792 Ratings total)

In this Linux shell scripting course you will learn how to:

Name your shell scripts.
Use the proper permissions on your shell scripts.
Create and use variables in your scripts.
Use shell built-in commands and operating system commands.
Make the most out of special variables that are available to you in your scripts.
Make decisions by using if statements and performing several different kinds of tests
Check the exit statuses of commands and why you need to.
Use cryptographic hash functions
Create random data so you can do things like automatically generate strong passwords for user accounts.
Perform the same action or set of actions over a series of data utilizing for loops, while loops, and infinite loops.
Control all types of input and output.
Accept standard input from a user as well as from another program.
Redirect standard output and standard error and combine standard output and standard error
Use command pipelining and perform text and string manipulation.
Process command-line arguments
Creating functions and when to do so.
Parsing, analyzing, and reporting on log files, CSV files, and other data.
Writing scripts that execute commands on other systems.

You can take Linux Shell Scripting: Learning Projects for Beginners Certificate Course on Udemy.

4. Learning Linux Command Line Online Class

Explore the Linux command line and Bash shell. Learn how to navigate the file and folder structure, exit text, set permissions, and install and update the software on Linux machines.

Course rating: 71,664 total enrollments

What you’ll learn":

Recognize what the characters “-h” represents in the statement “df –h/home/alice/Documents”.
Explain how to recall a previous command in Bash.
Identify what the command “ls -l” will show.
Recall what is needed to use the find command to look for files by name, size, and so on.
List the two modes of file permissions that can be set to.
Recall why many command-line tools are intended to be used in pipes with other commands.
Explain what the command “grep -E "[123]" report.txt” will show.
Identify what the “>” symbol is often used for.

You can take the Learning Linux Command Line Online Class Certificate Course on Linkedin.

5. Complete Linux Training Course to Get Your Dream IT Job 2020

The best Linux Administration course that prepares you for the corporate world and for RHCSA, RHCE, and LFCS certifications

Course rating: 4.6 out of 5.0 ( 6,362 Ratings total)

In this course, you will :

By the end of this course, you will be a professional Linux administrator and be able to apply for Linux jobs.
You will be able to take the EX-200 exam and become a Redhat Certified System Administrator (RHCSA - EX200).
You will learn 150+ Linux system administration commands.
CentOS and Redhat version 7 and 8.
You will gain advance Linux systems administration skills and have a deep understanding of Linux fundamentals and concepts.
You will be able to troubleshoot everyday Linux related issues.
You will manage Linux servers in a corporate environment.
You will write basic to advance level shell scripts.

Linux is the number ONE operating system for the Corporate world.

In this course, you will learn Linux installation, configuration, administration, troubleshooting, command line, OS tools, and much more.

Following is the list of topics I will cover in this course:

You can take the Complete Linux Training Course to Get Your Dream IT Job 2020 Certificate Course on Udemy.

6. Linux Systems Programming

This course delivers a comprehensive introduction to the Linux system call interface and also to key components of the standard C library.

Course rating: 5.0 out of 5.0 ( 151 Ratings total)

In this course, you will :

A comprehensive introduction to the Linux system call interface and also to key components of the standard C library.
The course primarily presents the API via its traditional "C" language bindings; however, many examples are additionally presented using Python.
The course provides you with the core competence needed to become a proficient developer in a Linux environment.

You can take the Linux Systems Programming Certificate Course on Pluralsight.

7. Learning Windows Subsystem for Linux

Get up to speed with the basics of Windows Subsystem for Linux (WSL), and explore common tasks and procedures for developing with Linux.

Course rating: 24 total enrollments

Windows Subsystem for Linux (WSL) is an optional feature of Windows 10 that provides a Linux environment for developers inside of Windows.
Rather than managing your own virtual machine or relying on a remote Linux machine for development, WSL provides a Linux kernel and enables users to install various distros within their Windows environment.
In this course, get up to speed with the basics of WSL and explore common tasks and procedures for developing with Linux.
Steps through how to work in the Linux environment, explaining how to use the shell, manage services within WSL, and define automated tasks that run at predefined times.
This course also covers ways to integrate WSL into your workflow, including how to install the Remote-WSL extension to use the Visual Studio Code in WSL.

You can take the Learning Windows Subsystem for Linux Certificate Course on Linkedin.

Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote and share it in your network. In case you want to explore more, you can take the Free Linux Courses

In case you liked this article, you can also visit the following posts of mine;

Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨