Forem: javinpaul

How I used ByteByteGo and AlgoMonster to Prepare System Design and DSA for FAANG Interviews?

javinpaul — Fri, 23 Jan 2026 04:34:10 +0000

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

Hello guys, preparing for coding interviews in 2026 is no longer just about memorizing solutions on Leetcode or practicing the top 100 questions.

The bar has been raised, and companies like Google, Meta, Amazon, and OpenAI expect candidates to not only write clean and efficient code but also to deeply understand system design, problem-solving patterns, and edge-case thinking.

If you want to stand out and land offers at top tech companies, you need a smarter strategy --- and better tools.

That's where ByteByteGo and AlgoMonstercome in. These two platforms have taken the interview prep world by storm.

ByteByteGo, created by former Facebook engineer Alex Xu (author of the bestselling System Design Interview books), focuses heavily on system design through animations, real-world architecture patterns, and structured learning.

On the other hand, AlgoMonster is built by Google engineers and focuses on helping you master algorithm and data structure patterns in a practical and guided way --- without wasting time on fluff.

When used together, these two platforms create a powerful and efficient learning combo. ByteByteGo helps you ace the system design rounds with visual clarity, while AlgoMonster helps you build the algorithmic thinking required for coding rounds.

In this post, we'll show you how to combine them into a high-leverage study plan for cracking coding interviews in 2026.

Let's break it down.

How I Used AlgoMonster to Prepare DSA?

If you don't know, AlgoMonster is one of the most efficient, modern, and structured platforms for coding interview prep. It was created by Google engineers and is especially great if:

Java programming courses

You want a curated path that reduces information overload.
You prefer interactive explanations over just walls of text.
You're preparing for FAANG-level coding interviews in a short time.

Highlights:

Categorized problem sets by patterns (e.g., sliding window, graph traversal, etc.)
Easy-to-follow problem walkthroughs with visual diagrams
In-browser coding interface with real-time feedback
Interview strategy guides and mock interviews
Step by Step process to solve the problem like identifying pattern, writing template and then solution.

You should use AlgoMonster to master algorithms, patterns, and common DSA problems efficiently.

Another great thing about them is that they are offering 50% discount now, and the value it provides, AlgoMonster is definitely worth it. Here is the link tojoin Algomoster now for a 50% discount

They also provide a big database of company wise coding interview questions asked on real interviews which can be really handy if you have an interview coming up to with a any company below:

Why I Used ByteByteGo to Prepare for System Design Interview?

ByteByteGo, led by Alex Xu, is one of the most visual and beginner-friendly resources to learn System Design.

Apart from DSA, System Design is another topic on interview which is often asked to Senior developers and engineer.

If you are a senior developer with 5 years experience and don't know System Design then it could be real deal breaker and may cost you come interview, hence it become extremely important that senior developer should start solving system design concepts and learning key System Design concepts before its too late.

Whether you're a junior developer or a senior engineer, ByteByteGobreaks down complex systems into simple visuals and real-world use cases.

Highlights:

Visual-first explanations of real systems like YouTube, Twitter, WhatsApp, etc.
Covers key concepts like load balancing, sharding, caching, CAP theorem
Updated frequently with modern system architectures (event-driven, microservices, etc.)
Comes with a detailed System Design Interview Handbook
They now cover not just System Design but OOP Design, ML System Design, Gen AI System Design as well as Coding interview Patterns like AlgoMonster.

You can use ByteByteGo to build strong intuition and visual understanding of how scalable systems work.

And, with 50% discount they are offering now, its really a no brainer to join this site. I have recommended it to both my friends and my readers who are working as software engineers, tech lead, and senor engineers.

Here is the link to get discount --- ByteByteGo 50% OFF NOW

How to Combine AlgoMonster + ByteByteGo for Interview Success? DSA + System Design = Offer?

Here's how to use them together for maximum impact:

Start with AlgoMonster(4--6 weeks)

Focus on algorithmic patterns, solving 1--2 problems a day.
Use mock interviews to simulate real pressure.

2. Add ByteByteGoalongside (weeks 3--8)

Start reviewing system design topics 2--3 times a week.
Watch 10--15 minute visual guides and take notes.
Practice small design problems like designing a URL shortener, then move to more complex ones.

3. Final 2 weeks:

Do mock system design interviews with peers.
Review top DSA problems from AlgoMonster and revise design principles from ByteByteGo.

System design courses

Conclusion

That's all about how to use ByteByteGo and AlgoMonster to prepare for System Design and DSA in 2026*. As I said before, cracking coding interviews in 2026 demands more than just LeetCode grinding.

Companies are increasingly focused on not only your algorithmic thinking but also your ability to design scalable systems.

If you're targeting top tech firms like Google, Amazon, Meta, or startups with rigorous technical rounds, you need a strategic study plan that covers both Data Structures & Algorithms (DSA) and System Design comprehensively.

That's where AlgoMonster and ByteByteGo shine as a powerful combo.

With a 50% discount they are offering now, and the value it provides, both ByteByteGo and AlgoMonster is definitely worth it. Here is the link tojoin Algomoster now for a 50% discount

All the best for your Coding Interviews, if you have any doubts or questions, feel free to ask in the comments.

P. S. --- If you just want to do one thing at this moment, go join Algomonster and join ByteByteGoand start learning DSA and System Design Concepts and practice coding interviews you will thank me later. It's one of the most comprehensive resource for coding interview now.

Top 12 AI, ChatGPT and Machine Learning Courses in 2025

javinpaul — Sun, 02 Mar 2025 05:42:52 +0000

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

Hello guys, Are you interested in diving into the fascinating world of Artificial Intelligence (AI), ChatGPT, and Machine Learning but not sure where to start then you have come to the right place.

Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn AI in 2025.

You must be wondering Why Udemy?

Is Udemy the best place to learn AI, ChatGPT online? There are many reasons for it but the first and most important reason is number of courses and price, since Udemy is the only place where you can get a $200+ course with 50 hours of content for just $9.9.

Whether you're a beginner or an experienced data scientist looking to upskill, Udemyoffers a plethora of AI courses to suit your needs. With so many options available, it can be challenging to choose the right course that fits your requirements.

That's why we've scoured through Udemy's vast collection of AI, ChatGPT, and Machine Learning courses to bring you the top 10 courses that cover a wide range of topics, from machine learning to deep learning, natural language processing to reinforcement learning.

These courses also teach how to use popular programming languages and tools such as Python, R, TensorFlow, and Keras for building AI models.

So, get ready to embark on an exciting learning journey as we dive into the top 10 Udemy courses for Artificial Intelligence! Btw, if you are in rush then you can just go and join the Artificial Intelligence A-Z™: Learn How To Build An AI course on Udemy, you won't regret it. It's one of the best AI course online.

And, if you want to become an AI Engineer, you can also follow this AI Engineer Career Roadmap which gives you a nice path learning basics, essential skills and advanced skills you needed to become a successful AI Engineer in 2025

12 Best Udemy Courses to Learn AI, Machine Learning, Deep Learning, and ChatGPT in 2025

As I said, Artificial Intelligence (AI) is rapidly transforming various industries and is one of the most sought-after skills in the job market.

Ever since Large Language Model (LLM) and ChatGPT comes into the picture, demand for AI engineers have skyrocketed and why not because AI is going to transform every field like the electricity did in early 19th Century.

Learning AI can be challenging, but there are many online courses available that can help you gain the skills you need to be successful in this field.

Udemy is one of the most popular online learning platforms, with a wide variety of AI courses to choose from. In this article, we'll discuss the top 10 Udemy courses to learn Artificial Intelligence.

1. Artificial Intelligence A-Z™: Learn How To Build An AI

Created by Hadelin de Ponteves and Kirill Eremenko, this course is designed to teach you how to build an AI from scratch. The course covers various topics, such as deep learning, reinforcement learning, natural language processing (NLP), and more.

It also teaches how to use tools like TensorFlow and Keras for building AI models. The course includes over 16 hours of on-demand video, 8 articles, and 4 downloadable resources.

This online AI course is also suitable for beginners and has an overall rating of 4.3 stars.

Here is the link to join this course --- Artificial Intelligence A-Z™: Learn How To Build An AI

2. The Complete Artificial Intelligence and ChatGPT Course

Created by Mammoth Interactive, this course is designed to teach you AI with Python. The course covers various topics, such as machine learning, deep learning, and NLP.

It also teaches how to use Python libraries like TensorFlow and Keras for building AI models.

The course includes over 19 hours of on-demand video, 7 articles, and 4 downloadable resources. It is suitable for both beginners and advanced learners and has an overall rating of 4.5 stars.

Here is the link to join this course --- The Complete Artificial Intelligence and ChatGPT Course

3. Machine Learning A-Z™: Hands-On Python & R In Data Science

This course, created by Kirill Eremenko and Hadelin de Ponteves, is one of the most popular AI courses on Udemy.

The course covers various machine learning algorithms, such as linear regression, logistic regression, k-nearest neighbors, decision trees, random forests, and more.

It also teaches how to use Python and R for data science. The course includes over 40 hours of on-demand video, 19 articles, and 178 downloadable resources.

This Udemy AI course is suitable for both beginners and advanced learners and has an overall rating of 4.5 stars.

Here is the link to join this course --- Machine Learning A-Z™: Hands-On Python & R In Data Science

4. Python for Data Science and Machine Learning Bootcamp

This course, created by Jose Portilla, is designed to teach you Python programming and machine learning for data science.

The course covers various topics, such as NumPy, Pandas, Matplotlib, Seaborn, and more.

It also teaches how to use machine learning algorithms like linear regression, logistic regression, decision trees, random forests, and more.

The course includes over 25 hours of on-demand video, 3 articles, and 1 downloadable resource. It is suitable for beginners and has an overall rating of 4.6 stars.

Here is the link to join this course --- Python for Data Science and Machine Learning Bootcamp

5. Deep Learning A-Z™: Hands-On Artificial Neural Networks

This course, created by Kirill Eremenko and Hadelin de Ponteves, is designed to teach you how to build artificial neural networks using tools like TensorFlow and Keras.

The course covers various topics, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. It also teaches how to use deep learning for image and text classification, speech recognition, and more.

The course includes over 22 hours of on-demand video, 6 articles, and 11 downloadable resources. It is suitable for both beginners and advanced learners and has an overall rating of 4.5 stars.

Here is the link to join this course --- Deep Learning A-Z™: Hands-On Artificial Neural Networks

6. Applied Machine Learning in Python
This Udemy course, created by Kelleher and Tierney, is designed to teach you how to apply machine learning in Python.

The course covers various topics, such as linear regression, logistic regression, decision trees, random forests, k-nearest neighbors, and more.

It also teaches how to use machine learning for data analysis and prediction. The course includes over 14 hours of on-demand video, 4 articles, and 10 downloadable resources.

It is suitable for both beginners and advanced learners and has an overall rating of 4.6 stars.

Here is the link to join this course --- Applied Machine Learning in Python

7. Complete Guide to TensorFlow for Deep Learning with Python

Created by Jose Portilla, this Udemy course is designed to teach you TensorFlow, a popular open-source platform for building deep learning models.

The course covers various topics, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.

It also teaches how to use TensorFlow for image classification, object detection, and natural language processing. The course includes over 14 hours of on-demand video, 10 articles, and 1 downloadable resource.

It is also suitable for both beginners and advanced learners and has an overall rating of 4.4 stars.

Here is the link to join this course --- Complete Guide to TensorFlow for Deep Learning with Python

8. Data Science and Machine Learning Bootcamp with R

This Udemy Machine Learning course is created by Jose Portilla and its designed to teach you data science and machine learning using R.

The course covers various topics, such as data manipulation, visualization, linear regression, logistic regression, decision trees, and more.

It also teaches how to use machine learning algorithms for data analysis and prediction. The course includes over 25 hours of on-demand video, 8 articles, and 4 downloadable resources.

It is also suitable for both beginners and advanced learners and has an overall rating of 4.5 stars.

Here is the link to join this course --- Data Science and Machine Learning Bootcamp with R

![best Data Science course for beginners on Udemy](https://miro.medium.com/v2/resize:fit:700/1*E8aXOussUt-BCJ8awVjgpg.jpeg

9. Machine Learning with Python: A Practical Introduction
Created by Frank Kane, this course is designed to teach you practical machine learning with Python. The course covers various topics, such as data preprocessing, classification, regression, clustering, and more.

It also teaches how to use popular Python libraries like scikit-learn, Pandas, and NumPy. The course includes over 15 hours of on-demand video, 7 articles, and 1 downloadable resource.

It is also suitable for both beginners and advanced learners and has an overall rating of 4.5 stars.

Here is the link to join this course --- Machine Learning with Python: A Practical Introduction

10. Advanced AI: Deep Reinforcement Learning in Python
Created by Lazy Programmer Inc., this course is designed to teach you deep reinforcement learning in Python. The course covers various topics, such as Q-learning, deep Q-learning, policy gradients, and more.

It also teaches how to use TensorFlow and Keras for building deep reinforcement learning models.

The course includes over 14 hours of on-demand video, 10 articles, and 4 downloadable resources. It is suitable for both beginners and advanced learners and has an overall rating of 4.4 stars.

Here is the link to join this course --- Advanced AI: Deep Reinforcement Learning in Python

11. ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

If you want to learn ChatGPT from user's perspective like how to make full use of ChatGPT to assist in your work then this course is for you.

It's one of the best course to learn tons of AI tools for your personal and professional daily use cases. Big shoutout to Julian and Benza for their teaching style.

They make complex concepts feel like a breeze, and their enthusiasm is infectious.

Overall a nice course to learn ChatGPT online in 2025

Here is the link to join this course --- ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

12. Master Software Diagrams using ChatGPT, AI, and Mermaid 2025

This is new CHatGPT course on Udemy and it focuses on creating software architecture diagrams using free tools like ChatGPT and Mermaid.io.

In this course you will learn how you can use prompt engineering to ask ChatGPT to provide markdown code for various software diagrams like UML and ERD diagrams and then draw them using mermaid.js

If you want to learn how to use ChatGPT to create ERD diagrams, Org chart then this course is for you.

Here is the link to join this course --- Master Software Diagrams using ChatGPT, AI, and Mermaid 2025

Conclusion

That's all about the best Udemy course to learn Artificial Intelligence in 2025. In this article, we have discussed the top 10 Udemy courses to learn Artificial Intelligence.

These courses cover a wide range of topics, including machine learning, deep learning, natural language processing, and reinforcement learning. They also teach how to use popular tools like Python, R, TensorFlow, and Keras for building AI models.

Whether you're a beginner or an advanced learner, there's a course on this list that can help you gain the skills you need to be successful in the field of AI. So, choose a course that best fits your needs and start learning today!

Other Machine Learning and AI Resources for Programmers

P. S. --- If you are serious about moving into AI and Machine Learning field, I also suggest you learn Python, one of the most valuable skills when it comes to Machine Learning and AI. If you need resources, check out this list of the best Python courses to kick-start your journey.

12 Topics to Crack Java SE 21 Certification 1Z0–830 Exam in 2025?

javinpaul — Sun, 29 Dec 2024 05:56:58 +0000

Hello guys, if you are preparing for Java SE 11 Certification exam 1Z0-830 then you have come to the right place.

I am super excited to announce that my first project of the year, a Udemy course, practice test for Java SE 21 Certification 1Z0-830 is live now, an in this article, I will share all the topics you need to master and few tips to crack this exam.

12 Topics to Master for 1Z0–830 (Java SE 21 Certification)

Here are the key topics for Java SE 21 Certification (1Z0--830):

1. Handling Date, Time, Text, Numeric, and Boolean Values

Use primitives and wrapper classes to evaluate arithmetic and boolean expressions.
Apply Math API functions, precedence rules, type conversions, and casting.
Manipulate text using String and StringBuilder classes, including text blocks.
Work with date, time, duration, period, instant, and time-zone objects, considering daylight saving time, using the Date-Time API.

2. Controlling Program Flow

Implement program flow control constructs:
if/else
switch statements and expressions
Loops (for, while, do-while)
Break and continue statements.

3. Using Object-Oriented Concepts in Java

Classes and Objects:
Declare and instantiate Java objects, including nested classes.
Explain the object life-cycle: creation, reassigning references, and garbage collection.
Class Features:
Define and use instance and static fields, methods, constructors, and initializers.
Implement overloaded methods, including var-arg methods.
Encapsulation and Immutability:
Understand variable scopes.
Apply encapsulation and create immutable objects.
Use local variable type inference.
Inheritance and Polymorphism:
Implement inheritance with abstract, sealed, and record classes.
Override methods, including Object class methods.
Understand polymorphism and differentiate between object and reference types.
Use reference type casting, instanceof operator, and pattern matching.
Interfaces:
Create and use interfaces, including functional interfaces.
Utilize private, static, and default interface methods.
Enums:
Define and use enum types with fields, methods, and constructors.

4. Handling Exceptions

Handle exceptions using:
try/catch/finally blocks.
try-with-resources.
Multi-catch blocks.
Create and manage custom exceptions.

5. Working with Arrays and Collections

Create and manage arrays and collections (List, Set, Map, Deque).
Add, remove, update, retrieve, and sort collection elements.

6. Working with Streams and Lambda Expressions

Use Java object and primitive streams to:
Create, filter, transform, process, and sort data.
Perform operations like decomposition, concatenation, reduction, grouping, and partitioning on sequential and parallel streams.
Implement lambda expressions with functional interfaces.

7. Packaging and Deploying Java Code

Define modules, expose module content (including via reflection), and declare dependencies.
Create modular and non-modular JARs, runtime images, and migrate to modules using unnamed and automatic modules.
Define services, providers, and consumers.

8. Managing Concurrent Code Execution

Create platform and virtual threads.
Use Runnable and Callable objects, manage thread lifecycles, and utilize Executor services.
Develop thread-safe code using locking mechanisms and concurrent APIs.
Process Java collections concurrently and utilize parallel streams.

9. Using Java I/O API

Read and write data using console and file I/O streams.
Serialize and deserialize Java objects.
Manage paths and file properties using the java.nio.file API.

10. Implementing Localization

Use locales and resource bundles for localization.
Parse and format messages, dates, times, numbers, currency, and percentage values.

11. Understanding Java Code Environment Assumptions

Recognize missing package and import statements.
Assume file and directory structures for correct code execution.
Handle unintended line breaks in code fragments.
Trust descriptive comments and assume necessary supporting code exists.

12. Additional Expected Knowledge

Understand the basics of Java Logging API.
Use annotations:
@Override
@FunctionalInterface
@Deprecated
@SuppressWarnings
@SafeVarargs
Work with generics, including wildcards.

This structured breakdown provides a clear and detailed path for mastering the required topics for the 1Z0--830 certification and if you want to practice you can also check my course 1Z0-830 Practice Test

This practice test is designed to provide you a comprehensive practice for Java SE 21 certification exam. You can use it to build the speed and accuracy required to pass this certification.

You can learn more about the course here.

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To celebrate the launch and this season, I have created special 5DAYLAUNCHPROMO coupon for all of my courses. This include various Java certification courses, Spring certification courses, AWS certification courses and Azure certification courses as well.

Here are the links with $9.9 coupon for all of my Java, Spring and Cloud certification courses:

If you are preparing for the 1Z0--830 certification exam or making it your first goal in 2025 then this will help you to build the speed and accuracy you need to pass the exam on the first attempt

All the best with your Java certification journey !!

If you have any questions feel free to ask in comments or email me.

Want to learn Microservices and Event Driven architecture in 2025? These courses can help you

javinpaul — Thu, 12 Dec 2024 06:05:32 +0000

7 Best Microservices and Event Driven Architecture Courses for Experienced Developers (2025)

javinpaul ・ Dec 12

#microservices #programming #development #systemdesign

7 Best Microservices and Event Driven Architecture Courses for Experienced Developers (2025)

javinpaul — Thu, 12 Dec 2024 06:05:21 +0000

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

Hello guys, In today's distributed systems and cloud computing world, microservices architecture has become a key solution for building scalable, maintainable, and efficient applications.

By breaking down monolithic applications into smaller, independent services, microservices allow for easier deployment, scaling, and management. But how can you get started with microservices?

Whether you're a seasoned developer or just beginning to explore the world of microservices, Udemy offers a wealth of courses to help you master this architectural style.

In this article, we'll highlight the top 7 Udemy courses for learning microservices in 2025, so you can choose the one that best fits your needs and skill level.

By the way, if you are in hurry then you can start with the Master Microservices with Spring Boot, Docker, Kubernetes course on Udemy. This course will not just teach you what is Microservices but also architecture and benefits as well as how to create them using Java and Spring Boot stack.

Why Learn Microservices in 2025?

Microservices architecture is a game-changer in modern software development.

Unlike traditional monolithic applications where all components are interconnected and dependent, microservices break down functionality into smaller, independent services.

These services can be developed, deployed, and scaled individually, providing greater flexibility and agility.

Learning microservices is essential for several reasons:

Scalability: Microservices allow for horizontal scaling, where individual services can be scaled independently.
Flexibility: Developers can use different technologies, frameworks, and databases for each microservice.
Fault Isolation: In a microservices architecture, the failure of one service does not necessarily bring down the entire system.
Faster Deployment: Smaller, independently deployable services mean faster release cycles.
Easier Maintenance: With well-defined boundaries, each service can be developed and maintained by smaller, more focused teams.

Here is how Microservices architecture looks like:

Now, let's dive into the top 7 Udemy courses to help you learn and master microservices.

7 Best Microservices Courses on Udemy in 2025 for Senior Developers

Without any further ado, here are the best Udemy courses you can join to learn Microservices architecture in depth. Not just Microservices concepts and pattern but also how to implement Microservices in various tech stack like Java and Spring Boot, React and Node.js and even Microsoft .NET core and ASP .NET

1. Master Microservices with Spring Boot, Docker, Kubernetes

This course offers an in-depth introduction to microservices using Spring Boot, one of the most popular frameworks for building Java-based applications.

In addition to Spring Boot, you'll learn about Docker, Kubernetes, and Helm, which are crucial tools for deploying and managing microservices in a cloud-native environment.

Students: 57,933
Rating: Bestseller
Instructor: Madan Reddy

The course also covers microservices security, making it an excellent choice for Java developers looking to build secure, scalable microservices.

Key topics covered include:

Building microservices with Spring Boot
Deploying with Docker, Kubernetes, and Helm
Microservices security practices

If you're a Java developer, this course is one of the best starting points to gain practical microservices skills.

Here is the link to join this course ---[NEW] Master Microservices with Spring Boot, Docker, Kubernetes

2. The Complete Microservices & Event-Driven Architecture (udemy)

This Udemy course takes a deep dive into microservices and event-driven architecture, a key concept for building real-time, scalable systems.

You will learn how to design highly scalable systems using microservices and event-driven architecture, ensuring that your applications can handle large volumes of transactions without breaking a sweat.

Students: 11,246
Rating: Bestseller
Instructor: Michael Pogrebinsky

Key topics covered include:

Microservices architecture design
Event-driven architecture with Kafka
Building scalable and resilient systems

This course is ideal for developers who want to learn event-driven microservices and understand how to build systems that can scale effectively.

Here is the link to join this course --- The Complete Microservices & Event-Driven Architecture

3. Master Microservices with Spring Boot, and Spring Cloud (udemy)

If you're looking for a course specifically tailored to Java and Spring Cloud, this is a comprehensive guide to mastering microservices.

It covers how to build and deploy microservices using Java and Spring Boot, and takes you through key cloud tools like Spring Cloud and Netflix OSS.

Students: 266,845 students
Instructor: Ranga Karnama nd In28Minutes

By the end of the course, you'll have the skills to create distributed systems that can scale effectively.

Key topics covered include:

Building microservices with Spring Boot and Spring Cloud
Configuring service discovery with Netflix Eureka
Circuit breakers with Hystrix

For Java developers who want to dive into the cloud-native side of microservices, this course provides a well-rounded curriculum.

Here is the link to join this course --- Master Microservices with Spring Boot, and Spring Cloud

4. Microservices with Node JS and React (Udemy course)

Microservices are not limited to Java-based frameworks. In this course, you will learn how to build microservices using Node.js and React, making it perfect for full-stack JavaScript developers.

This course covers the fundamental concepts of microservices while showing you how to integrate React for building a modern front-end.

Students: 24,452
Instructor: Stephen Grider

Key topics covered include:

Building microservices with Node.js
Integrating React for front-end development
Using Docker for containerization

This course is ideal for JavaScript developers looking to leverage Node.js and React to build full-stack microservices applications.

Here is the link to join this udemy course --- Microservices with Node JS and React

5. Microservices with Spring Cloud (Udemy)

This Udemy course is focused on teaching you how to build resilient microservices with Spring Cloud. You will learn how to use various Spring Cloud components like Config Server, Eureka, Ribbon, and Zuul to create a distributed system.

The course also covers distributed tracing and monitoring using Spring Cloud Sleuth and Zipkin, which are essential for maintaining microservices.

Students: 35,136
Instructor: Ken Krueger

Key topics covered include:

Service registration and discovery with Eureka
Load balancing with Ribbon
Distributed tracing with Zipkin

If you're working with Spring Cloud, this course is a must to fully understand its capabilities in the context of microservices.

Here is the link to join this course --- Microservices with Spring Cloud

6. Design Microservices Architecture with Patterns & Principles

In this Udemy online course, you'll dive deep into deploying microservices on architecture and Kubernetes, the leading container orchestration platform.

It focuses on building microservices applications, scaling them using Kubernetes, and managing them efficiently.

You will also learn how to design Microservices Architecture with using Design Patterns, Principles and the Best Practices

Students: 43,667 students
Instructor: Mehmet Ozkaya

The course is ideal for those who want to learn cloud-native microservices and understand how to deploy and scale applications using Kubernetes.

Key topics covered include:

Microservices Distributed Transaction Management
Microservices Distributed Caching
Service meshes and microservices patterns

This is a great course for those looking to specialize in microservices deployment with Kubernetes.

Here is the link to join this course --- Design Microservices Architecture with Patterns & Principles

7. Spring Boot Microservices and Spring Cloud. Build & Deploy

This course takes you step-by-step through the process of building Spring-based microservices from scratch.

It covers Spring Boot, Spring Cloud, and Spring Data, giving you a strong foundation in Spring's microservices ecosystem.

It also provides practical examples of microservices architecture patterns, making it an excellent resource for Java developers.

Students: 44,463
Instructor: Sergey Kargopolov

Key topics covered include:

Implementing microservices with Spring Boot
Using Spring Data for microservices databases
Applying microservices patterns in real-world applications

For developers committed to mastering Spring-based microservices, this course offers deep insights and hands-on projects.

Here is the link to join this course --- Spring Boot Microservices and Spring Cloud. Build & Deploy

That's all about the best Udemy courses to learn Microservices and Event Driven Architecture in 2025. With the rise of cloud computing and distributed systems, microservices have become an essential architecture for building scalable, reliable applications.

The demand for microservices expertise is growing across industries, making it a valuable skill to acquire in 2025.

These top 7 Udemy courses provide an excellent starting point for developers of all levels, whether you're a Java, JavaScript, or full-stack developer.

From hands-on projects to real-world scenarios, these courses will equip you with the knowledge and skills to build, deploy, and manage microservices applications effectively.

So, whether you're looking to upskill for a job in cloud development or to learn a new architecture for your next project, Udemy has the right course for you.

Other System Design Interview Resources you may like

Thanks for reading this article so far. If you like these best Microservices Courses from Udemy then please share them with your friends and colleagues. If you have any questions or feedback then please drop a note.

Happy learning!

Spring Certification is Free of Mandatory Training Again !!

javinpaul — Sat, 31 Aug 2024 06:29:41 +0000

Hello folks,

In case you missed, I have an excellent news to share with you today, the Spring Professional certification is now free again.

I mean, you don't need to enroll into any mandatory training or Spring Pro content** to become eligible for this certification.

A couple of years ago, when VMware acquired Pivotal, the company behind Spring Framework, they reversed the decision of Spring certification fee of any training and made a costly training mandatory to become eligible for the exam.

This was big setback for many experienced Java developers who wanted to become a certified Spring developer as apart from the cost of voucher which is around $250, you also need to pay for an expensive training.

Thank god, that's not the case anymore and you can now give Spring professional certification with just your preparation.

To celebrate the occasion, I am offering 50% discount on my Spring books and courses, just use code friends50 get any of my Spring related books to get 50% discount for next 3 days.

Here are the links:

50% OFF on Grokking the Spring Boot Interview

50% OFF on Spring Certification Practice Questions

And, if you like courses, you can also use code FREESPRINGCERT to get the course for just $9.9, lowest price on Udemy

here is the link - https://www.udemy.com/course/spring-professional-practice-test-questions-vmware-edu-certification/?couponCode=SPRINGCERTFREE

And, if you also want to become a certified Java Developer, here is another $9.;9 coupon of my Java SE Practice Test for 1Z0-819 exam

https://www.udemy.com/course/1z0-819-certification-oracle-java-17-exam-practice-test/?couponCode=GETJAVACERTIFIED*

This is an exciting news and its great time to start your preparation and get the prestigious Spring certification before they change their mind again.

Here is the official spring certification note:

All the best with your spring certification journey !!

Javin

8 Best Books to Learn System Design in 2025

javinpaul — Sun, 02 Jun 2024 05:20:40 +0000

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

Hello guys, if you are preparing for system design interview or just want to learn System design and looking for resources then you have come to the right place.

In the past, I have shared best system design courses. cheat sheets, and websites for learning System design, and today I am going to share best System design books you can read to master this topic.

Since a lot of books can confuse you, I have only select 5 best and must-read books from the software architect's perspective, with a couple of System design and Software development books.

Since System Design is a very vast subject and highly depends upon the domain you are working, it's not possible to learn everything you need to design software from top to bottom, but these books will give you the necessary tools and techniques required to build robust, secure, and maintainable software.

They will also help you to develop the mindset required to focus on essentials rather than details, which is a crucial difference between how a developer thinks and how an architect thinks.

In general, developers focus on low-level details, like class and methods while architects focus on high-level details, like how individual components should communicate? how the persistence layer should behave? which technology stack to use? and what will be the non-functional requirements like reporting, archiving, logging, security, scalability, resiliency etc.

These books are also full of good advice in terms of object-oriented design, good coding practices, and how to avoid costly mistakes in the initial phase of software development.

By the way, If you are looking for an affordable online course to learn System Design and prepare for interviews in 2025 then I also suggest you to checkout Frank Kane's Mastering the System Design Interviewcourse on Udemy. Frank is an ex Amazon hiring manager and know what it takes to crack System design interview of those big FAANG companies in 2025.

8 Best System Design Books for Experienced Developers

Without any further ado, here is my list of some of the books every experienced developers can read to master System design and also prepare well for tech interviews.

These books will expand your knowledge and fill gaps in your understanding. They will also help you to understand the big picture instead of focusing on technical details.

1. System Design Interview Part 1 and 2 By Alex Xu

As the title suggests, this is the perfect book for everyone who is preparing for a system interview. Trust me, this book is the finest on the internet right now. This book is created by Alex Xu who has gone through the same process.

You will get access to a number of drawings and diagrams that will assist you in gaining an understanding of the real system. You will be able to understand what the recruiters are looking for in your answers to questions.

Alex also have a companion System design course on ByteByteGo, where you will not only find all the content of this book and the second part of System Design Interview Book by Alex Wu but also new content, deep dive into popular system questions like how to design YouTube and WhatsApp as well as proven System design framework to solve Software design problem.

Here are my favorite free System design tutorial from ByteByteGo:

In short, if you read this book, you will be able to breeze through your next system design interview. This is also one of the most recommend System design books on Reddit, Quora, Hacker News, Twitter, and other online platforms and its obvious from the number of reviews this book have on Amazon.

2. Designing Data-Intensive Applications By Martin Kleppmann

In this fantastic book on system design, Martin Kleppmann will help you understand the pros and cons of all the different technologies that are used for storing and processing data.

It is a book that is written in a lucid style and presents a very broad overview of data storage systems.

You will get a very good grasp of fundamental concepts, algorithms, as well as practical applications of various technologies.

This is also one of the most popular book when it comes to learn Software design and System Design and I highly recommend this book to all kind of software developers .

The book is also good for beginners and experienced, developers and software architects and anyone who wants to be better at software design in depth.

If you want, you can also combine this book with the Mastering the System Design Interview by Frank Kane (Ex Amazon Hiring Manager) on Udemy for better preparation.

3. Hacking the System Design Interview: Real Big Tech Interview Questions and In-depth Solutions

This is another book you can read to prepare for FAANG System Design interview. This book not just cover essential System design concepts which every software architect should know but also cover many popular System design questions and coding problems.

Created by Stanley Chiang, a Google Software Engineer, this is also one of the best selling book on System design on Amazon. The best thing about this book is that it walk you through key components which are used to build any system like below:

Web server
API gateway
Load balancer
Distributed cache
Asynchronous queue
Object storage
CDN
Fan-out service
Unique ID generator

This book also includes real interview questions based on hundreds of interviews conducted at big tech companies like Google and Meta, and their detailed solutions. I highly recommend this book to anyone preparing for technical interviews.

You can also combine this with the Algomonster or Exponent **System design course for better preparation.

4. Fundamentals of Software Architecture: An Engineering Approach by Mark Richards and Neal Ford

"Fundamentals of Software Architecture: An Engineering Approach 1st Edition" by Mark Richards and Neal Ford stands as an invaluable guide for developers aspiring to transition into the role of a software architect, a position consistently ranked among the top 10 best jobs in salary surveys globally.

This first-of-its-kind book offers a comprehensive overview of software architecture, covering a wide array of topics such as architectural characteristics, patterns, component determination, diagramming, evolutionary architecture, and more.

Written by hands-on practitioners with extensive experience in teaching software architecture classes, Mark Richards and Neal Ford focus on universal architecture principles applicable across various technology stacks.

The book delves into critical aspects like architecture patterns, component identification, soft skills, modern engineering practices, and treating architecture as an engineering discipline.

With a modern perspective that incorporates innovations from the past decade, this book equips both aspiring and existing architects with the necessary tools and insights to navigate the complexities of software architecture, making it an indispensable resource in the field. I highly recommend this book to any senior developer who also want to become a software architect.

5. Software Engineering at Google: Lessons Learned from Programming Over Time

"Software Engineering at Google: Lessons Learned from Programming Over Time," co-authored by Titus Winters, Hyrum Wright, and Tom Manshreck, offers an insightful exploration into the intricacies of developing and maintaining a sustainable and healthy codebase, emphasizing the distinction between programming and software engineering.

Drawing on their experiences at Google, the authors provide a detailed look at the practices employed by some of the world's leading software engineers to navigate the challenges of evolving codebases in response to changing requirements and demands.

This software design book delves into Google's unique engineering culture, processes, and tools, shedding light on how these elements contribute to the effectiveness of their engineering organization.

Throughout the book, three fundamental principles are highlighted: the impact of time on software sustainability, the influence of scale on software practices within an organization, and the trade-offs engineers must consider when making design and development decisions.

With a focus on practical insights and real-world examples, this book serves as a valuable resource for software engineers seeking to enhance their understanding of software engineering principles and practices.

While this book book is not exclusively focused on System design it has many valuable lessons on trade-offs developers must consider when making design and development decisions, which is quite important for senior developers and software architects.

6. Software Architecture in Practice

This book is a good start for those who are curious or want to understand the basic concepts and ideas behind Software Architecture but it somewhat abstract, which many programmers might not enjoy.

What I like about the books is stories and anecdotes about incidents in history. Since I firmly believe that its stories which teach you what to do and what not do and our mind is more open to remember stories then concept, I found this book worth mentioning in this list.

You can use this book as a textbook to learn about software architecture and If you want, you can also combine this book with Coursera's popular Software Architecture online course for more active learning.

7.Clean Architecture

This is one of the first books you should read on Software architect. Uncle Bob, who is also the author of Clean Code and Clean Coder, two of the must-read books for professional programmers, has presented his years of experience on how to build a clean architecture.

Something, which is robust, maintainable, and adaptable to change. In this book, you not only learn about essential concepts of architecting software but also about terminology used at that level.

You will also learn about SOLID design principles and good coding practices required for writing clean code. The book also gives practical advice on evaluating different design and architecture by comparing their pros and cons.

In short, one of the most fundamental books on software architecture, which every senior programmer or someone aspires to become a solution architect should read.

8. Building Microservices: Designing Fine-Grained Systems

Another great book to learn about the design and architecture of modern, distributed software, particularly Microservices, which are powering this generation is the greatest apps, like Uber, Facebook, Netflix, etc.

If you want to move away from monolithic applications to the world of Microservices, then this is the book you should read. And if you want to learn from courses, you can also check out the Master Microservices with Spring Boot and Spring Cloud course by Ranga Karnam on Udemy. It's one of the best and up-to-date courses to learn how to build Microservices in Java using Spring Boot and other tech stacks.

That's all about some of the *best system design books software developers can read. If you are a senior Java developer of 8 to 10 years of experience and want to move the next step in your career towards an end goal of becoming a software architect, these are the books to read to expand your vision and knowledge.

Other System Design Tutorials and Resources you may like:
How to become an Outstanding Solution Architect

Thanks for reading this article so far. If you like these books, then please share it with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P.S. - If you prefer online courses over books then you can also check out 10 best system design courses . These courses will not only teach you useful system design principles and coding best practices required for creating robust software.

My New book 300+ AZ-900 Azure Fundamentals Practice Questions is Out !!

javinpaul — Tue, 23 Apr 2024 05:27:41 +0000

Hello, devs, I am very excited to announce my new book "300+ AZ-900 Azure Fundamentals Practice Questions" on Gumroad. Since Cloud computing is becoming an essential skill for developer and Azure is also gaining a lot of popularity, it make sense to learn Cloud with Azure.

And, AZ-900 exam is a perfect way to learn Cloud computing in Azure platform. Keeping this in mind, I have created this practice test to help developer become certified in cloud skills.

It focuses on Azure fundamentals exam, AZ-900

his book contains 6 topic wise practice test and 300+ question answers on following topics:

Describe Cloud Concepts (52 questions)
Describe Core Azure Services (52 questions)
Describe core solutions and management tools on Azure (54 questions)
Describe general security and network security features (50 questions)
Describe identity, governance, privacy, and compliance feature (50 questions)
Describe Azure cost management and Service Level Agreement (54 questions)

he book is now also available on Gumroad and for a special price of $9.95 only

Here is the link - 300+ AZ-900 Azure Fundamentals Practice Questions

If you are preparing for AZ-900 cloud certification then this can be a really useful resource

In this book, you will get practice questions on each topic with detailed answers and explanations to prepare and build the speed and accuracy you need to score high marks.

To celebrate the launch, I Am also offering a 30% discount on all my books and courses, you can use code friends30 or click the link below.

Grokking the Java Interview - https://gumroad.com/l/QqjGH?offer_code=friends30
Grokking the Spring Boot Interview - https://gumroad.com/l/hrUXKY?offer_code=friends30
Java + Spring + SQL Interview Bundle - https://javinpaul.gumroad.com/l/java-interview-bundle?offer_code=friends30

As always, Big Thanks for your support, and please let me know how you found the book once you get your copy.

All the best for your AZ-900 certification in 2024

Javin

For #GumroadDay, my Java and Spring interview books are for $1

javinpaul — Thu, 04 Apr 2024 10:07:03 +0000

Hello devs, just wanted to write a short post about the Gumroad Day sale and the once-in-a-lifetime opportunity to buy my books for just 1$ (minimum).

Yes, Gumroad Day is back and its today on 4th April. It's back after 3 years. Last time I wrote this post on 2021. In this day, Gumroad waive off all his fees and encourage creators to give big discount, much like Black Friday, Prime Day or Cyber Monday.

So, For #GumroadDay, both my books, Grokking the Java Interview and Grokking the Spring Boot Interview are 'Pay What You Want, $1 minimum. Today only.

Yes, the offer is only valid until midnight 4 April because after that Gumroad will start charging fee and all the discount will go way.

Normally, my books are priced $20 but now you have a unique chance to get them for just $1

- Grokking the Java Interview, $19.9 (normal price)

- Grokking the Spring Boot Interview, $19.9 (normal price)

- Grokking the SQL Interview ($20)

- Grokking the Java Interview Volume 2 ($20)

- 250+ Spring Certification practice questions ($19.9)

- 250+ Java 17 Certification Practice Questions ($20)

More than 2000+ Java developers have bought so far. Go see what they look like!

Here is the link - https://gumroad.com/javinpaul/

When I run this sale last time on Gumroad Day 2021. More than 100 people have already bought my books in few hours and given only a few hours are left before #GumRoadDay is over, I suggest all of my blog readers use this opportunity.

As I said, Gumroad Day is a special day organized by Gumroad where Creators will keep all the earning, all the fees like transaction fee, Paypal fee will be paid by Gumroad. Many creators are offering their courses for huge discounts so that more people can benefit from their work.

What does Grokking the Java Interview book covers?

This was my first book in 10 years of blogging and it contains all the essential core Java topics you need to prepare to crack a Java developer interview. This is a 150+ pages book that contains frequently asked Java interview questions and their answers.

Here is the list of core Java topics covered in this book:

1. Object-Oriented Programming

2. Java Fundamentals

3. Java Collections

4. Java Multithreading

5. Garbage Collection

6. JDBC

7. Generics

8. Design PAtterns

9. Telephonic Interview Questions

You can use this book to prepare for the Java interview in a guided and structured way. Java is vast and it's tough to crack Java interviews without proper preparation and this book helps you there.

Whether you are a beginner looking for your first job or an experienced Java developer looking for your next job this book and questions will help you.

Here is the link to learn more about the book - Grokking the Java Interview

What does Grokking the Spring Boot Interview covers?

This was my second book to help Java developers in their interview preparation and this book covers Spring Framework, the most important skill for Java developers.

When I released my first book, a lot of my readers and followers message me that to write a similar book but on the Spring framework.

Since Spring is also vast like Java, it took me 5 months to write this book but I am very happy that it turns out to be a great resource for anyone preparing for Java + Spring boot interview as well for Spring certification.

This is a 250+ pages book that contains frequently asked Spring, Spring Boot, and Spring Security interview questions and their answers.

Here is the list of Spring Framework topics covered in this book:

1. Container, Dependency, and IOC

2. Spring Bean Lifecycle

3. Aspect-Oriented Programming (AOP)

4. Spring MVC

5. Spring Boot Intro

6. Spring Boot Auto Configuration

7. Spring Boot Starter Dependency

8. Spring Boot Actuator

9. Spring Boot CLI

10. Spring Boot Testing

11. Spring Cloud Questions

12. Spring Data JPA

13. Spring Security

You can use this book to prepare for the Spring Boot interview in a guided and structured way. Just like Java, Spring Framework is also vast and it's tough to crack Spring Boot interviews without proper preparation and this book helps you there.

Whether you are a beginner looking for your first job or an experienced Java developer looking for your next job this book and questions will help you.

Here is the link to learn more about the book - Grokking the Spring Boot Interview

What does Grokking the SQL Interview cover?

This is my third book in the Grokking series and this book cover SQL and database related questions. These are useful not just for Java developers but also for Data Scientists, Data Analyst, and any other software developer who has to work on SQL and database.

Here are the topics covered in this book:

1. SQL and Database Basics

2. SQL JOIN

3. Indexes

4. GROUP BY and Aggregate Functions

5. Stored Procedure

6. Trigger and View

7. SQL Queries from Interviews

8. DB Normalization

9. Transaction

10. Window Function

11. CTE

12. SQL vs NoSQL

13. DB specific ques

Whether you are a beginner Software Engineer looking for your first job or an experienced Java developer or Data Scientist looking for your next job this book and questions will help you.

Here is the link to learn more about the book - Grokking the SQL Interview

Apart from that I have also wrote books on Java and Spring Certifications which contains practice questions and their answers with explanation. If you are preparing for Java or Spring Developer certification then you can use this books to prepare better.

That's all guys, this post means to be short because Gumroad day is just for one day** and the prices will revert back to normal tomorrow. If you are preparing for Java , SQLand Spring Boot interviews then this is your best chance to grab your copy of my books.

Here is the link - https://gumroad.com/javinpaul/

How to get a job in Tech in 2024? (With Tips and Resources)

javinpaul — Tue, 27 Feb 2024 13:58:54 +0000

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

Hello guys, if you want to break into Tech in 2024 but are not sure how to do that then you have come to the right place. Earlier, I have shared many online courses and certifications to learn Python, Coding, Data Science, Web Development, and UI Design and in this article, I will share different ways to break into Tech sector in 2024.

I will also share resources that you can take to learn all the essential skills you need to break into Tech and become a Software Engineer, Data Scientist, UI Designer, or IT Support Analyst in 2024.

But before we get into the best tips and courses that will help you break into the tech industry in 2024, let me tell you a bit about what you should expect from this article.

The tech industry is constantly evolving and there are always new opportunities for those with the right skills and a little bit of determination. However, getting your foot in the door can be challenging, especially if you're just starting out or don't have a lot of experience.

That's why it's important to build a strong foundation of knowledge and skills and stay up to date on the latest technologies and trends.

In this article, we'll provide 11 tips to help you break into the tech industry in 2024. We'll cover a range of topics, including building a strong foundation, specializing in a specific area, learning from the experts, building a portfolio, networking and marketing yourself, and staying current.

All these skills are required to get a Tech job like Software developer, Data Scientist, and UI/UX Designer.

I will also share specific professional certificate from Coursera that can help you build the skills you need to succeed for a particular tech role. By following these tips and investing in your education, you can set yourself up for success and land a job in the exciting and dynamic tech industry.

10 Tips to start your career in Tech?

Here are the 10 tips you can follow to learn essential Tech skills required to break into Tech in 2024. As I said, there are many ways to break into Tech you can become a programmer, Data analyst, UI Designer project manager, or even an IT support analyst but you need to have key Tech skills. Here I will share those skills and resources where you can get them.

Let's get started.

1. Build a strong foundation

Before you start applying for jobs, it's important to build a solid foundation of knowledge and skills depending on how you want to break into Tech.

For example, if you want to become a Programmer then you can learn a Programming language like Python and join a course like Python for Everybody on Coursera to learn Python from scratch.

Similarly, if you want to become a Data Analyst then you can also build relevant skills by earning a professional certificate in Google Data Analytics. This course will teach you how to analyze data and create meaningful insights, skills that are highly valued in the tech industry.

2. Specialize in a specific area (UI Design, Python, Data Analysis)

While it's important to have a broad range of skills to get into Tech and become successful, it can also be helpful to specialize in a specific area of tech. For example, you can decide what exactly you want to become as there are many ways to break into Tech in 2024.

I mean, you can break into Tech by becoming a UI/UX designer as there is a lot of demand for UI/UX people in the Tech sector. One way to do this is by earning a Google professional certificate in UI and UX design.

This course will not only teach you the basics you need to become successful in Tech but also the specialized skills you need to become a UI/UX designer.

By the way, UI design and Programs are not the only way to break into Tech, you can break into Tech by becoming a Project Manager, and if that interests you then Google's Project Management Professional Certificate is a great resource to start with. This course will teach you how to plan and execute projects effectively, skills that are essential for success in the tech industry.

3. Learn from the Experts like Google Staff and Meta Trainers

One of the best ways to learn and grow in the tech industry is to connect with experts and professionals who can provide guidance and mentorship.

This is also probably the most important thing one should remember while preparing for tech jobs as the internet is full of resources but many of them are outdated and Tech is one field where you need up-to-date knowledge.

That's why earning a professional certificate from reputed Tech companies like Google, Amazon, and Meta is probably the best way to learn Technology.

For example, if your goal is to become a Fronted Developer then you can start with Meta's Front-End Developer Certificate where you will get a chance to learn from experienced professionals in the field who have worked in Meta or Facebook. This way, you will not only learn the latest knowledge but also get it from people who have walked through that path.

4. Build a portfolio (Github Repo or Website)

A strong portfolio is a great way to showcase your skills and accomplishments to potential employers. The portfolio is also proof that you have done something and in Tech a Portfolio is quite important.

For example, if you want to become a Programmer or Frontend or Backend Developer then you can build projects and add them into your GitHub repository that can serve as your developer portfolio. This is one thing that can help you stand out to potential employers.

One way to build a portfolio is joining a certification like Meta Backend Developer certificate where you will build project as part of the learning.

5. Network and Market Yourself (Build online presence, Blog, or YouTube Channel)

If you are serious about breaking into Tech in 2024 then you should not be afraid to reach out to potential employers and let them know about your skills and experience. This is the one thing that I have helped me initially in my career.

I still remember when I walked across all the companies in an India IT park to hand my resume to them, while I didn't find a job doing that I got a couple of calls, met many candidates like me, and then we started a group where people share where is the walk-in interviews, which companies are hiring and what skills are needed there.

By going into the field, I was able to build a network that helped me to get my first job as a programmer but things have become easier now and you can reach to many of your potential employers online. You can also build your online presence like by starting a blog or YouTube channel to showcase your Tech skills.

If you want to learn about Digital Marketing, Google's Digital Marketing & E-commerce Professional certificate is also a good resource.

6. Stay current (Learn latest Tools, Practices, and Technologies)

One of the main challenges of breaking into the Tech sector and growing is constant learning. The tech industry is constantly evolving, so it's important to stay up to date on new technologies and trends.

As a programmer and backend developer, I have to constantly learn new tools like Docker, and Kubernetes, new practices like CI/CD and DevOps, new Frameworks like Quarkus all the time.

One way to stay current and learn the latest tech skills is to join a learning platform like Coursera and take a membership like Coursera Plus which gives access to more than 7000+ online courses, certifications, projects, and specializations to learn any tech skills. It has helped me a lot as I got a chance to learn from Google, Meta, and Amazon experts.

If you want to stay current with your tech skills then you can also join Coursera Plus in 2024, they are also offering $200 discount now, which means you can get it for just $199 instead of $399 I paid. Unfortunately this offer is only valid for new Coursera members so I cannot take it but you can and you should, if you are serious about breaking into Tech in 2024.

7. Learn UI and UX Design in 2024

Design is very big in the Tech sector as this is the first step in many projects. There is a lot of demand for System designers and architects as well as UI and UX designers. So, if you want to break into Tech in 2024 learning Design skills can help you a lot.

One way to achieve UI and UX Design skills is by earning a professional certificate in Google UX Design Course which is equipped with all the latest thing you need to become a successful UI/UX designer in 2024.

You will learn things like how to design user interfaces (UI) using Google's design tools and guidelines. You will also learn how to use Google's Material Design principles to create visually appealing and user-friendly interfaces which is key for many businesses in 2024.

Along the way, you will also learn how to use popular design tools such as Sketch and Figma to create wireframes, mockups, and prototypes. Additionally, you may learn best practices for UI design, such as creating intuitive navigation, designing for different screen sizes and devices, and testing and iterating on your designs.

The good thing is that you can join this certification as part of Coursera Plus membership, means you don't need to pay extra. If you don't have Coursera Plus yet, get it now.

If you need more information, you can also check my earlier article, is Coursera Plus worth it in 2024? where I have shared my detailed review of Coursera Plus program.

8. Learn how to Code in 2024

Coding is a key skill in the tech industry, and there are many programming languages you can learn to help you break into the field. If you want to become a Python Programmer or Java Software developer then Coding is also the first step.

When it comes to learning coding, you have to choose a programming language and the choice of programming language is quite important because you don't want to choose something which makes learning to code harder and there is no demand for that programming language.

Ideally you should choose mainstream programming language like Python, Java, Golang, or JavaScript to learn coding in 2024. These are mature and established programming languages which huge demand and ecosystem and knowing them will help you to break into Tech in 2024.

If you need a resource, consider earning a professional certificate in Google IT Automation with Python to learn one of the most popular and in-demand programming languages Python and also learn automation skills which can get you many jobs in Tech sector. More than 511,000 people have already joined this program to learn Python.

9. Develop your Communication skills

Strong communication skills are essential for success in the tech industry. Whether you are a UI Designer, a Frontend developer, a Backend Developer, or a Data Scientist, you should be able to clearly articulate problems and your solution to your team members and other stakeholders.

This becomes even more important as you grow in your Tech career, I mean when you become a tech leader, Scrum Master, or Project Manager as then your primary skills become communication and management.

If you are in project management or want to become a project manager, Consider earning a professional certificate in Project Management by Google on Coursera to learn excellent communication and collaboration skills needed in a project manager.

Project management is also a critical skill in the tech industry, and earning a professional certificate in Google Project Management can help you develop the skills you need to succeed.

10. Learn how to Troubleshoot or Debug an Issue

Tech and troubleshooting go a long way and it's one of the key skills to get into Tech and also become successful. Whether you are a Java developer or a Python Data Scientist, you must have a strong debugging and troubleshooting skill to solve problems that come in day-to-day work.

It's very common in Tech that things are not working as expected. At that time, you should be able to figure out what is wrong and how to fix it and keep continuing your job. It becomes even more critical if you are in IT support, another key area to break into Tech.

As an IT support engineer, your primary responsibility to support applications in production. You not only need to be reactive to fix the operation issues but you also need to be proactive to sense issues and solve them before the impact business.

As I said, being able to troubleshoot and solve problems is a key skill in the tech industry and you can quire this skill by earning a professional certificate in Google IT Support . This is one of the most popular Google certification on Coursera where you will learn how to diagnose and fix technical issues, skills that are highly valued by employers.

Conclusion

That's all about how to break into Tech in 2024. As I said, breaking into the tech industry in 2024 requires a combination of skills, knowledge, and determination.

By following the tips outlined in this article and investing in your education through professional certificates and other learning opportunities, you can set yourself up for success and land a job in this exciting and dynamic field.

It's also important to network and market yourself to potential employers, showcase your skills and accomplishments through a strong portfolio, and stay current on new technologies and trends.

With a little bit of effort and dedication, you can build a rewarding and successful career in tech. So go ahead and start learning and building your skills today! With the right combination of passion and determination, you can achieve your goals and make your mark in the tech industry in 2024 and beyond.

By following these tips and earning relevant professional certificates, you'll be well on your way to breaking into the tech industry in 2024. Remember to be patient, stay focused, and continuously strive to improve your skills and knowledge. With time and effort, you can build a rewarding and successful career in tech.

And, you can join all the courses mentioned in this article with just a single subscription, Coursera Plus which not only provide access to these courses and certifications but also 7000+ tech and non-tech courses from top class universities and tech companies.

Other Coursera Resources articles you may like:

If you liked this article, feel free to share it with your friends and family. You can also drop a comment if you have any doubts and we will get back to you as soon as possible.

P.S. --- Constant learning is one of the most important things required to break into Tech and membership like Coursera Plus play a huge role on that. It allows you to run anything at any time without hassle and that's why I think every techie should join Coursera Plus.

Is Designing Data-intensive Applications by Martin Kleppman Worth it

javinpaul — Mon, 25 Dec 2023 09:14:55 +0000

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

Hello guys, In the ever-evolving landscape of software and system design, the book "Designing Data-Intensive Applications" by Martin Kleppmann emerges as a potential game-changer.

The question that looms for many prospective readers is whether this book is worth the investment or not as reading a book is not easy and also you need to keep in mind that it's not a $10 book.

Having gone through the pages of this comprehensive guide, I can confidently assert that it is indeed a worthwhile investment for anyone seeking a deeper understanding of data-intensive application design.

Whether you are preparing for a system design interview or want to become a Software Architect or just a better Software engineer this is one of the books you should read.

I have read many books on Software architecture and System designs including System Design Interview --- An Insider's Guide by Alex Xu, which many people recommend to read before interview. Still, I found that "Designing Data-Intensive Applications" is much more comprehensive and touches more bases then Alex's book.

Let's check out the reasons why I think this is a great book and why every developer and architect should read it.

1. Exploring the Depths of Data

Kleppmann's work commences by unraveling the intricacies of data systems, providing a foundational understanding of databases and their evolutionary models.

The exploration extends to various types of databases, each dissected to unveil their strengths and weaknesses. For those navigating the waters of data storage solutions, this section serves as a valuable compass for informed decision-making.

2. Demystifying Distributed Systems

The complexity of modern applications often demands a grasp of distributed systems, and "Designing Data-Intensive Applications "adeptly demystifies this realm. From consistency models to distributed transactions, the book not only elucidates theoretical concepts but also breathes life into them through real-world examples and case studies.

This practical approach ensures that readers can apply their newfound knowledge to the challenges of building and maintaining distributed systems.

Here are a few questions you can master after reading this chapter:

What is data replication? Which problems can occur during replication (at multi-leader and leaderless setups)?
What is data partitioning, and how may it fail?
Do you need to care about serializability when working with transactions? What are the different ways how transactions can cause errors?
What are the pros and cons of batch versus stream processing, and which errors may occur during data processing?

3. Navigating Fault Tolerance and Reliability

Acknowledging the inevitability of system failures, the book turns its attention to fault tolerance and reliability. "Designing Data-Intensive Applications"delves into the mechanisms and strategies that underpin resilient systems, offering insights into replication, partitioning, and consensus algorithms.

The result is a guide that equips readers to design systems capable of withstanding failures and recovering gracefully.

Which errors can occur to distributed systems? What is the difference between network failures, unsynchronized clocks, and consensus violations?

4. Scaling Systems Seamlessly

Scalability is a key consideration in the design of modern applications, and Kleppmann leaves no stone unturned in exploring this critical aspect.

Whether discussing horizontal and vertical scaling, load balancing, or partitioning, the book provides actionable insights into designing systems that can grow seamlessly with increasing demands.

The author's clear prose and illustrative examples demystify complex scalability concepts, ensuring readers are well-prepared for the challenges of a growing user base.

5. Bridging the Divide with Data Integration

In an era of dispersed data, effective data integration is paramount. "Designing Data-Intensive Applications"navigates the challenges and patterns for achieving interoperability between disparate systems, covering batch processing, stream processing, and the principles of data consistency.

This section serves as a roadmap for architects and developers aiming to build cohesive and interconnected data ecosystems.

6. Learning from the Masters: Case Studies

A compelling feature of the book is the inclusion of real-world case studies. Kleppmann analyzes successful systems such as Apache Kafka, Apache HBase, and Amazon DynamoDB, providing a deep dive into design decisions, trade-offs, and lessons learned.

These case studies serve as invaluable lessons, allowing readers to glean insights from battle-tested solutions and avoid common pitfalls.

7. Future Directions in Data

As technology advances, so too must our understanding of data systems. "Designing Data-Intensive Applications"concludes the book by peering into the future of data-intensive applications.

Discussions on trends like serverless computing, machine learning, and the rise of new databases provide readers with a forward-looking perspective, encouraging them to stay abreast of emerging technologies and paradigms.

Strong and Weak points of the "Designing Data-Intensive Applications" book?

"Designing Data-Intensive Applications" by Martin Kleppmann is widely regarded as an excellent resource, but like any book, it has its strengths and weaknesses. Let's delve into both aspects:

Strong Points:

**Comprehensive Coverage: **The book provides an in-depth exploration of various topics, covering foundational concepts, distributed systems, fault tolerance, scalability, and data integration. This comprehensive approach makes it a go-to reference for a broad range of data-related subjects.
**Practical Insights and Real-World Examples: **Kleppmann uses real-world examples and case studies to illustrate theoretical concepts. This practical approach helps readers connect the dots between theory and real-world application, making the content more accessible and valuable.
**Accessible Writing Style: **The author employs a clear and accessible writing style, making complex topics understandable for readers with varying levels of expertise. This makes the book suitable for both beginners and experienced professionals.
**Relevance to Modern Challenges: **The content remains relevant to contemporary challenges in the field. Kleppmann discusses emerging trends and future directions in data, ensuring that readers are equipped with insights into the evolving landscape of data-intensive applications.
**Balanced Treatment of Trade-Offs: **The book provides a balanced perspective on design decisions and trade-offs. Understanding the inherent compromises in system design is crucial, and Kleppmann does a commendable job addressing these issues.
**Engaging and Thought-Provoking: **The book engages readers by presenting thought-provoking concepts and challenges. This encourages critical thinking and helps readers develop a deeper understanding of the material.
**Positive Reception: **The book has received widespread positive reviews from academics and industry professionals. Its positive reception is a testament to its quality and impact.

Weak Points:

While it's a great book, there are still a few points that can be improved or explained better

1. Complexity of Topics:

Some readers may find certain topics, especially those related to distributed systems, complex. While the author makes efforts to simplify these concepts, they inherently involve intricate details that may be challenging for beginners.

2.Not a Step-by-Step Guide:

The book is more of a conceptual guide than a step-by-step tutorial. Readers looking for hands-on, practical exercises may need to supplement their learning with additional resources.

3.Assumes Some Background Knowledge:

The book assumes a certain level of familiarity with computer science concepts. While it is accessible to a broad audience, readers without a foundational understanding of computer science may find certain sections challenging.

4.Limited Focus on Specific Technologies:

The book is not focused on specific technologies, which could be a strength or a weakness depending on the reader's expectations. Some may prefer a more technology-specific guide.

Is the "Designing Data-Intensive Applications" Book worth it?

Certainly, "Designing Data-Intensive Applications" by Martin Kleppmann is widely considered a valuable and worthwhile resource for individuals involved in software and system design, especially those dealing with data-intensive applications. Here are several reasons why this book is often deemed worth the investment:

1. Comprehensive Coverage

The book provides an extensive exploration of various aspects related to data-intensive applications, ranging from fundamental concepts of databases to advanced topics like distributed systems, fault tolerance, scalability, and data integration.

2. Practical Insights:

Martin Kleppmann combines theoretical discussions with practical insights, using real-world examples and case studies. This approach helps readers bridge the gap between theory and application, allowing for a more hands-on and applicable understanding of the concepts.

3. Clear and Accessible Writing Style

Kleppmann employs a clear and accessible writing style, making complex topics understandable to a broad audience. Whether you're a seasoned developer or a newcomer to the field, the book caters to readers with varying levels of expertise.

4. Relevance to Modern Challenges

The content is highly relevant to contemporary challenges in the field of data-intensive applications. As technology evolves, the book's discussions on emerging trends and future directions in data ensure that readers stay informed and well-prepared for the industry's dynamic landscape.

5. Real-World Case Studies

The inclusion of real-world case studies, and analysis of successful systems, allows readers to learn from practical examples. These case studies offer valuable insights into the decision-making processes, trade-offs, and lessons learned in the development of prominent data systems.

6. Balanced Perspective on Trade-Offs

Kleppmann doesn't shy away from discussing trade-offs in design decisions. This balanced perspective is crucial for architects and developers who must navigate the challenges of building systems that are not only performant but also maintainable and resilient.

7. Applicability to Diverse Audiences

Whether you are a database administrator, software architect, or a developer interested in building scalable and reliable systems, the book caters to a diverse audience. It provides a solid foundation for those starting in the field while offering deeper insights for more experienced professionals.

8. Positive Reception

The book has received positive reviews from both industry experts and practitioners. Its widespread acclaim in the software engineering community is indicative of its impact and usefulness.

For all these reasons, I strongly recommend software engineers to read this book,

here is the link to get this book on Amazon:"Designing Data-Intensive Applications"

Conclusion

In conclusion, "Designing Data-Intensive Applications" is a valuable resource with a rich set of strengths, making it a widely recommended read in the software engineering community. However, you should be aware of its complexity and the fact that it is not a step-by-step tutorial. The book's effectiveness depends on your background, goals, and preferences.

Other Programming and Books and Articles you may like

Thanks for reading this article so far. If you like my review of "Designing Data-Intensive Applications" book then please share it with your friends and colleagues.

P. S. --- If you are preparing for a Software developer interview then you must prepare for System design questions, The same with Machine learning engineers, they also need to prepare for System design questions like recommendation systems, etc. For such things, I highly recommend you to join Grokking the System Design Course on Design Guru its one of the best place to learn System design for interview.

11 Best Black Friday and Cyber Monday Offers for Developers in 2023

javinpaul — Sat, 25 Nov 2023 07:32:19 +0000

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

Hello Devs, Black Friday and Cyber Monday 2023 are almost here and if you have been waiting for this period to buy the stuff you love then your wait is finally over as all the big brands like Udemy, Pluralsight, Educative, CodeCademy, DataCamp, Coursera , Amazon, Apple all are running discount and Black Friday and Cyber Monday Deals. It's easy to get lost in this myriad of deals but not too afraid as I am sharing the best Black Friday and Cyber Monday deals 2023 for Programmers, Developers, Coders, and my Techie friends. In this post, you will find the deals which can help you in your learning as well as things you love.

Black Friday and Cyber Monday are special occasions and probably the best time to invest in your technical skills. This is the time when every company offers sweet deals on books, courses, tools, and things that matter most to programmers and developers. But, at the same time, it's not easy to find out great deals which are worth it for you.

I have received many excellent offers from sites like Udemy, Pluralsight, Educative, CodeCademy, DataCamp, and Coursera about their Black Friday and Cyber Monday discounts, offers, and deals, and many of my readers were also asking me about that.

Disclosure - If you buy through my links, I will earn a small commission at no extra cost to you.

After answering them individually via email and social networks, I thought to put together the best Black Friday deals for programmers and software developers together. This will help you find great deals, and you can also get them before they expire as these offers are highly time-sensitive and over by the following week.

If you are thinking of buying Udemy courses, you can buy more than one course because Udemy provides lifetime access, so you can watch those courses when you need them. Similarly, if you are on a Pluralsight or Educative annual plan, this is the best time to renew it and save for your future learning.

And, if you are looking to buy a book, you can also check out my first book after 10 years of writing Java articles - Grokking the Java interview available at a special discount of 50% OFF by using code friends50 this week as a Black Friday deal.

10 Best 2023 Cyber Monday Deals for Programmers and Developers

Without wasting any more of your time, here is a list of the best Black Friday and Cyber Monday deals for programmers and developers. I have mostly chosen deals that allow you to buy courses, books, and other technical membership at a massive discount from 20% to 40% and up to 90% in case of Udemy sales.

This is seriously the best time to buy this course and services as you can get almost double the value than normal time. So, if you want to invest in your career and learning, this is the perfect time to make the investment.

1. Udemy BLACK Friday and Cyber Monday Sale ($9.99) [85% discount]

Udemy is running the biggest sale of the year, with courses starting from $10 to $12. You can get comprehensive courses with 20+ hours of content for just $10, which is ridiculous and true. Udemy seriously makes education affordable, and that's why I love Udemy courses. And this is probably the best time to buy Udemy courses.

Since Udemy provides lifetime access to its courses, I usually buy a lot of classes during this time. If you need some recommendations, here are a couple of the best Udemy courses you can buy this Black Friday:

1. Docker & Kubernetes: The Practical Guide\
2. Complete SQL + Databases Bootcamp: Zero to Mastery

These are the most up-to-date, engaging, and comprehensive courses you can buy on this year's Udemy Black Friday and Cyber Monday sales.

2. Pluralsight Black Friday Deal (50% discount)

Pluralsight is another place where I go to learn new skills. It has the best collection of online courses from reputed instructors like Jose Paumard and Richard Warburton, Java champions, and Pinal Dave, an SQL expert, whom I admire a lot.

Pluralsight is offering a whopping 40% discount on their personal, annual, and premium membership, which means you can buy their yearly membership for just $179 per year instead of the usual $299 per year, and their premium membership, which has quizzes, exercise, and interactive courses are now available for $269 instead of $449 for one year.

If you like membership websites, I highly recommend getting their premium membership available for just $269 per year. If you doubt, you can still try their 10-day-free-pass to check the course quality, and I am 100% sure that you will be delighted.

Take your skills to the next level. Get 50% off a subscription today.

3. Zero to Mastery BFCM Sale and MacBook Pro M3 Giveaway

If you have been learning web development then you must have come across Zero to Mastery Academy by Andrei Negaoie, an online learning portal by one of the top Udemy instructors. You can find all kinds of high-quality courses there to learn Python, JavaScript, Java, React, Machine Learning, and even system design.

I have known the site since they launched and they never had any Black Friday or Cyber Monday Sale but this year they are running their first ever Black Friday sale and offering a whopping 27% OFF on their annual plans.

And to add the cherry on the cake, they are also running a giveaway where the winner will get a MacBook Pro. You don't have to do anything to participate in giveaways as each signup will be automatically entered into a draw to win a brand new Macbook Pro M3 (~$2,000 value)

If you always wanted to join ZTM Academy this is your best chance to join and save. Use code BFCM23 or click here to get your 27% discount. Just remember that both SALE and CONTEST ENDS on November 27th (11:59 pm EST).

4. ByteByteGo Black Friday 2023 Offer (30% OFF)

ByteByteGo is one of the best places to prepare for System design interviews and if you are looking for a ByteByteGo discount code or black Friday offer then you must be happy to know that they are also running their first-ever Black Friday sale and offering a nice 30% OFF on their annual plans.

ByteByteGo provides content for their 2 best selling books System Design Interview -- An Insider's guide Volume 1 and Volume 2 by Alex Xu and also going to update the content for Volume 3 next year which you will get for free if you join now.

You can use code BF2023 to get 30% OFF, here is the link to join ByteByteGo now

5. 101 Blockchain 50% OFF

When it comes to learning Blockchain and NFT, there is no better place than 101 Blockchains Academy and they are now offering a big 50% discount on black Friday and Cyber Monday. If you want to learn Blockchain then this is the best Black Friday deal you can expect.

Flat 50% OFF on any Certification Program, Use Coupon Coupon Code: BLACKFRIDAY50 or click here

You can also enjoy an additional 40% Off on Premium and Standard Plans by using coupon Code: BLACKFRIDAY40 on the Yearly/Yearly + Membership Program

6. Datacamp 2023 Black Friday Deal (50% discount)

DataCamp is one of the best websites to learn Python, SQL, Power BI, Data Science, and Machine learning. Data Science is offering a whopping 50% discount. This means you can buy an annual subscription for just $149/year instead of $399 per year.

With this subscription, you will get access to 340+ courses and 10,400+ exercises. If you want to learn essential Data Skills in 2023, I highly recommend Datacamp, and this is the perfect time to get the membership and save 65% now.

DataCamp 2023 Black Friday Sale is LIVE NOW! Don't miss this opportunity to save up to 65%!

7. CodeCademy Black Friday and Cyber Week Deal [50% Discount]

Codecademy is one of the pioneers of interactive learning, and I have learned a lot of valuable skills like JavaScript from their free course. Now, they have taken their portal to the next level and created many learning paths where you can learn an in-demand skill in a structured way by following the learn-by-doing method.

They are structured with a short burst of knowledge with interactive exercises and then a project to apply all the knowledge and gain confidence.

They are offering a 50% discount on all of their annual plans with code CYBER23, which means you can buy their CodeCademy Pro yearly plan for just $11.99 per month, which is the cost of an Udemy course, and you will get access to many of their classes, quizzes, and career path.

Here is the link to grab your 50 % discount - Codecademy 50% OFF

8. Whizlabs is offering 45% Discount

Another worth-knowing Black Friday deal for IT professionals particularly those who want to learn cloud computing like AWS, Azure, and Google Cloud Whizlabs Black Friday offer is best for you.

Whizlabs has the best cloud courses and cloud sandbox for hands-on practice and you can get access to all of them for just 50% of the original price. You will also get FREE 7 days access to PREMIUM+ Plans When you buy any AWS, Azure, Google Cloud, Power BI Courses

You can also get 25% OFF on premium plans which are quite rare, grab them while this offer last.

9. Baeldung Black Friday sale - Spring Course 30% OFF

Spring and its spearhead module, Spring Boot, will continue to dominate the Java web frameworks space in 2023 and beyond. And, with Spring Boot 3 super close, adding new features and improvements to the framework, we're building on a very stable core. This makes learning Spring the clear way to go for pretty much any Java developer working on web applications.

And, when it comes to learning Spring there is no better place than Baeldung which has the most in-depth and hands-on course on Spring, Spring Boot, Spring Security, and Spring Data JPA and they are running their first-ever Black Friday sale.

Effective immediately, all Baeldung courses are 30% off their normal prices

Here is the link to grab them as the offer expire soon - Save 30% on Baeldung Spring course

10. Educative Black Friday Deal (20% OFF)

Educative is an interactive, text-based platform that allows you to run code on a browser. This means you don't need to set up your environment, which is often the biggest hurdle in learning new technologies. I love Educative courses, especially their coding interview courses like Grokking the System Design and Grokking the Coding interview pattern courses.

If you are preparing for coding interviews and love text-based interactive courses, you will love the Educative portal. They also have many helpful learning paths like Java for programmers, Become A frontend developer, and scalability and System Design for Developers.

They are now offering an additional 20% discount on their annual plan, which gives access to their 200+ courses. This means you can buy their yearly plan for just $14.96, the usual price of $39.99, so a total discount of more than 70%. The offer ends at the end of the year

11. Amazon Black Friday 2023 Deals (Bonus)

No Black Friday deal article is complete without mentioning Amazon Black Friday deals which is probably the best place you can go for your Black Friday 2023 Shopping. They have many exciting offers on gadgets for a programmer or developer like.

For example, If you love listening to music while coding or writing like me then you will love this deal. Apple who never offered any discount is now offering a whopping 20% discount on their AirPods, this is the best black Friday deal a coder can expect.

They also have huge discounts on gaming laptops, cameras, phones, mobiles, Samsung TVs Soundbar, and much more. Click here to see all the Black Friday 2023 offers on Amazon.

A lot of people also asked me about Coursera's 2023 Black Friday offer or any discount, unfortunately Coursera doesn't have any black Friday offer this year but you can join Coursera Plus and save some money instead of joining course individually

With Coursera Plus you will get unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs---from leading universities and companies like Duke, Google, Johns Hopkins, and more---for just one all-inclusive price.

That's all about the 10 best Black Friday deals for programmers and developers in 2023. You can see discounts fly around every day, but these are the best black Friday and Cyber deals for programmers, coders, cloud computing experts, blockchain learners, and IT professionals, so better grab them before they expire. If you love Udemy courses, I have already published the best Udemy courses you should buy in this year's Black Friday and Cyber Monday sales in 2023.

Other* Programming and Course Articles* you may like

Thanks for reading this article. If you like these best Black Friday and Cyber Monday deals for Programmers and Developers, please share them with your friends and colleagues. If you have another great Black Friday and Cyber Monday deal for programmers and developers, then feel free to share it with us.

P. S. - If you are looking for the best Udemy courses to buy in the Black Friday sale, then you can also check out my list of 10 Best Udemy Courses to buy on the Black Friday sale.It contains the best Udemy courses to learn Docker, Microservice, Spring Boot, MERN stack, SQL, Python, Web Design, and other essential skills required for Software development.