Udemy offers 1,402 courses for software engineers. Among these, 1,276 are paid, and 126 are free. Normally, the course price is between $50 to $200. However, most courses give big discounts, with reductions up to 90% throughout the year. Plus, if you’re not satisfied, they offer a refund within 30 days.
There are a total of 462 courses which are rated 4.5/5 and above while 999 courses are rated 4.0/5 and above. The Software Engineering courses are available at a price range of INR 1,299 – 3,499. Currently, Udemy is offering these courses at a discounted rate of INR 455 (INR 3,499) 87% off. Web services with Spring Framework, MATLAB/Simulink for the absolute beginner, Get started with MATLAB & simulink are Free Udemy Courses for Software Engineers with ratings above 4.5/5.
As per student ratings and reviews, the Ultimate YAML Course: YAML JSON JSONPath Zero to Master is the top Udemy course for software engineers. Master the Coding Interview: Data Structures + Algorithms, Mastering Data Structures & Algorithms using C and C++, Spark and Python for Big Data with PySpark, etc are Best Udemy Courses for Software Engineers with ratings above 4.5.
Also check:
Best Advanced Java Courses on Udemy | Best AI Courses on Udemy |
Master the Coding Interview: Data Structures + Algorithms
This popular course by Andrei Neagoe on Udemy is great for engineers, developers, and programmers. It helps you learn things like Big O notation, and a variety of Data Structures such as arrays, hash tables, lists, Stacks, and trees. It also covers algorithms like sorting, searching, and breadth-first search. The course is designed to make you better at coding and improve your skills.
- Course Rating: 4.7/5
- Duration: 19.5 hours
- Benefits: 19.5 hours of on-demand video, 52 articles, 4 downloadable resources, 1 coding exercise, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Ace coding interviews given by some of the top tech companies | Become more confident and prepared for your next coding interview |
Learn, implement and use different Data Structures | Learn, Implement and use different Algorithms |
Get more interviews | Professionally handle offers and negotiate raises |
Kubernetes Certified Application Developer (CKAD) with Tests
This course by Mumshad Mannambeth and Vijin Palazhi focuses on Kubernetes, an important tool for people working in DevOps. This course will teach you how to design and deploy cloud-native applications on a Kubernetes cluster. It also includes several assignments to help you practice and test your new skills.
- Course Rating: 4.7/5
- Duration: 12.5 hours
- Benefits: 12.5 hours on-demand video, 73 articles, 6 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Kubernetes Certification | Design and Deploy applications on Kubernetes Cluster |
Develop Cloud First Applications | Secure Kubernetes cluster with Secrets and Network Policies |
Create and Schedule Jobs in Kubernetes | Create and readiness and Liveness Probes in a cluster |
Solid Principles: Introducing Software Architecture & Design
This highly-rated course on Udemy by Sujith George helps you understand solid principles and guides you on writing clean and organized code in object-oriented languages like Java. The highlighted feature of this course is that all video subtitles are carefully written and accurate. This course is suitable for individuals who aim to write superior quality code or design well-structured software.
- Course Rating: 4.7/5
- Duration: 2 hours
- Benefits: 2 hours on-demand video, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Learn basic Software architecture by applying SOLID principles | Well-crafted illustrations to help understand the basic concepts |
Learn what differentiates elegant and robust code from badly designed code | Get concepts right using real real world analogies |
Live sessions where existing code is analyzed and design holes are picked | Hands-on sessions where existing code is redesigned and revamped after applying SOLID principles. |
Mastering Data Structures & Algorithms using C & C++
This well-liked course on Udemy is created by Abdul Bari. It’s aimed at teaching you how to use data structure effectively with programming languages like C and C++. In this course, you’ll learn about various topics like recursion, array ADT, stack, queues, trees, AVL trees, hashing, and many more. If you’re keen on gaining a deeper understanding of Data Structure, this course is the right fit for you.
- Course Rating: 4.6/5
- Duration: 58.5 hours
- Benefits: 58.5 hours on-demand video, 1 article, 237 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Learn various Popular Data Structures and their Algorithms | Develop Analytical skills on Data Structure and use then efficiently |
Learn Recursive Algorithms on Data Structures | Learn about various Sorting Algorithms |
Implementation of Data Structures using C and C++ | – |
Complete Guide to Elasticsearch
This course is created by Bo Andersen and it’s perfect for developers who want to master Elasticsearch. You don’t need to know anything about Elasticsearch to start this course. During the course, you’ll learn how to create a search engine that can manage full text searches, work with large amounts of data using aggregation, and use Elasticsearch for time series database, among other things.
- Course Rating: 4.6/5
- Benefits: 12 hours on-demand video, 3 articles, 3 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of completion
Learning Outcomes
How to build a powerful search engine with Elasticsearch | The theory of Elasticsearch and how it world under the hood |
Write complex search queries | Be proficient with the concepts and terminology of Elasticsearch |
Core Java Made Easy (Covers the latest Java 17)
Bharath Thippireddy made this course to help people learn Java in a quick and easy way. It’s great for college students learning Java for the first time, data developers, test automation engineers, and even experienced Java developers. The course teaches all the important parts of Java 17, how Java works, how to set up JDK and the Eclipse IDE, and basic Java stuff. It covers things like data types, literals, variables, and changing one type of data into another.
- Course Rating: 4.5/5
- Duration: 27.5 hours
- Benefits: 27.5 hours on-demand video, 2 articles, 9 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of completion
Learning Outcomes
Learn the fundamentals of java and oops | Learn the building blocks of java program |
Use flow control and looping statements | Handling expectations |
Understand and use Garbage Collection | Learn collections in depth |
Understand the internal of JVM | Use concurrent collections and Enums |
Spark and Python for Big Data with PySpark
Jose Portilla’s course on Udemy is all about using Python and Spark to handle big data. The course begins with a quick review of Python and teaches how to use Spark DataFrames with the latest Spark 2.0 ways. There are practice activities and projects that simulate real work situations. It also goes over the newest Spark technologies, like SQL, Spark Streaming, and complex models. This course is perfect for people who know Python and want to use it for big data work.
- Course Rating: 4.5/5
- Duration: 10.5 hours
- Benefits: 10.5 hours on-demand video, 4 articles, 4 downloadable resources, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Use Python and Spark together to analyze Big data | Learn how to use the new Spark 2.0 DataFRame Syntax |
Work on consulting projects of real world situations | Classify customer churn with Logistic Regression |
Use Spark with Random Forests for Classification | Learn about the DataBricks platform |
Learn how to use AWS Elastic Mapreduce service | Use Spark streaming to Analyze Tweets in Real Time |
GitHub Ultimate: Master Git and GitHub Beginner to Expert
“GitHub Ultimate: Master Git and GitHub Beginner to Expert” is a course created by Jason Taylor. It’s perfect for anyone who wants to learn about keeping track of different versions of a project, especially using Git and GitHub. This could be software engineers, new developers, freelancers, or other professionals. The course helps you understand the GitHub platform completely. What’s special about this course is that it comes with lessons that have sound and video to explain abstract ideas. It also has many attached documents for extra information, images, and so on.
- Course Rating: 4.5/5
- Duration: 6.5 hours
- Benefits: 6.5 hours on-demand video, 3 articles, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Learn the key concepts of the Git source control system | Comparison between different states in Git |
Manage files inside and outside the control of Git and Githubb | Create and manage repositories on GitHub |
Create branches and resolve conflicts with confidence | Share code with Gists |
Perform many of the same local Git operations directly on GitHub | Review and Accept Pull requests from others |
Easy to Advanced Data Structures
“Easy to Advanced Data Structures” is a course created by William Fiset. It’s suitable for people who want to learn more about Data Structures, or students who want a basic understanding of it. The course helps them learn about data structures, which is an important skill for being a good coder. This course helps students master the basic concepts around Data Structures. People who take this course will learn more about things like static and dynamic arrays, stacks, queues, Binary Trees, hash tables, and many more.
- Course Rating: 4.2/5
- Duration: 8.5 hours
- Benefits: 8.5 hours on-demand video, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Mature understanding of Data structures | Algorithms associated with data structures |
Dynamic arrays | Singly and doubly linked list |
Queues & Stacks | Binary Trees and Binary search trees |
Heaps & Priority queues | Union find/ Disjoint set |
Microservices Software Architecture: Patterns & Techniques
This course, created by Binary Brain, is designed for people who aim to be Software Developers in Microservices. It’s also suitable for those who want to convert their current system into microservices or Software Architects looking to enhance their abilities. The course uses real-life examples and high-quality videos to deliver clear and comprehensive lessons. Students will gain valuable skills important in enterprise architecture like the Event Sourcing pattern, Saga pattern, Microservice Registration, API composition, and much more.
- Course Rating: 4.0/5
- Duration: 1 hour
- Benefits: 1 hour on-demand video, 5 articles, Full lifetime access, Access on mobile and TV, Certificate of completion
Learning Outcomes
Learn about microservices architecture | Learn how to implement software architecture patterns for a distributed system to allow scalability while containing consistency |
Learn techniques to help in designing, development, deployment and monitoring microservice based system | Identify technical challenges and common pitfalls. |
Software Engineering
This course is ideal for people who are interested in learning about software and its functions. It’s especially beneficial for computer science students or individuals studying for competitive exams. The course uses images, animations, and real-life examples to simplify complex topics, making it perfect for beginners. So, if you’re looking to gain a deeper understanding of software engineering, this course is a great fit.
- Course Rating: 5/5
- Duration: 4 hours 10 minutes
- Benefits: 4 hours of video, 2 downloadable resources, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
Software Engineering Basics | Software Developments Life Cycles and Models |
Factors and cost estimation | Requirement Engineering |
Software Testing | Agile |
Critical Thinking in Software Engineering 2024
This course is designed to help software developers improve their problem-solving and leadership skills. It doesn’t just focus on coding, instead, it includes practical exercises and real-life examples to explain the concepts. The course guides you on how to make wise decisions, solve challenging issues, and effectively lead your team. After the course, you can test your understanding and continue utilizing the resources provided.
- Course Rating: 4.9/5
- Duration: 2 hours 10 minutes
- Benefits: 2 hours of video, 23 downloadable resources, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
Define and Differentiate | Self-Evaluate |
Apply Principles | Strategic Improvement |
Case Study Analysis | Tool Proficiency |
Long-term Impact | Tool Proficiency |
Clean Code
This course is designed to help software developers improve their thinking and leadership skills. It’s not only about coding. It also includes practical exercises and real-world examples for better understanding. The course can help you make better decisions, solve difficult problems, and become a good team leader. At the end of the course, there’s a test to check how much you’ve learned, and you get resources that you can continue to use after the course.
- Course Rating: 4.7/5
- Duration: 6 hours 41 minutes
- Benefits: 6.5 hours of video, 9 articles, mobile and TV access, certificate of completion
Learning Outcomes
Code which is readable and understandable | Maintainability with clean code |
Key principles, rules and concepts of clean code | Bad to good code transformations |
Software Engineering Interview Practice Questions
This course is designed for those who are hunting for software engineering jobs or considering a career shift into this field. The course checks your understanding of software engineering principles and prepares you for job interviews. It covers various elements, such as software engineering approaches, object-oriented programming principles, software development procedures, UML (a modeling language), and project management. The course provides actual interview questions as well as examples for better comprehension and application of these crucial concepts.
- Course Rating: 4.7/5
- Benefits: 2 practice tests, mobile and TV access, lifetime access
Learning Outcomes
Software Engineering Practice Questions – 1 (18 Questions) | Software Engineering Practice Questions – 2 (18 Questions) |
The Complete 2024 Software Testing Bootcamp
This course is designed to teach students the skills needed to become software testers. It covers a wide range of topics including basic manual software testing, agile testing using tools like Google Sheets, Trello, Zephyr Scale, and Jira. It also teaches how to test APIs and web services using Postman, and how to do performance testing with JMeter. The course guides on how to find software testing jobs on websites like uTest, Testerwork, and test.io. Interview questions for manual testing jobs are discussed and tools for automated testing like Selenium IDE, Katalon Studio, and Playwright are introduced.
- Course Rating: 4.6/5
- Duration: 29 hours 35 minutes
- Benefits: 29.5 hours of video, 15 articles, 3 downloadable resources, mobile and TV access, certificate of completion
Learning Outcomes
Basic Concepts of Software Testing | Test case and Bug Report Writing |
Black-Box Test Techniques | Requirements Review & Test Scenarios Writing using Trello |
Implementing the test process on a Test Management Tool | Basics of Agile methodologies and Testing |
JIRA | Freelance Tester |
White-Box Test Techniques | Basics of API Testing |
API Testing using Postman | Basics of Performance Testing using Jmeter |
Professional QA Resume | Different certificates in Software Testing Field |
Software Engineering 101: Plan and Execute Better Software.
This course is a detailed guide for students who want to learn about software engineering, even if they have no prior experience in programming. It covers many areas including understanding how software development works from start to end, what are the requirements, what are specifications, different types of software models, architecture, design patterns like client-server and master-slave, modularity, testing and the SCRUM method for managing work. Understanding these key software engineering processes is important for those who want to become programmers, as it goes beyond just coding to focus on the engineering process required to create large systems.
- Course Rating: 4.6/5
- Duration: 8 hours 39 minutes
- Benefits: 8 hours of video, 16 articles, assignments, mobile and TV access, certificate of completion
Learning Outcomes
Software Engineering Principles | Requirements Definitions |
Software Architecture Planning | Modularity |
Computer Science Models | Agile Methodology |
Pre-Programming: Everything you need to know before you code
This course helps deal with common problems many people face when they try to learn programming and understand technology. It explains that you don’t need a science background to learn coding and that most people struggle because they don’t know basic tech stuff. This course aims to solve that by teaching you how browsers and computers work and how to handle common tech issues. It also notes that there are more jobs for programmers nowadays and knowing about tech can give you an advantage when looking for a job.
- Course Rating: 4.6/5
- Duration: 8 hours 39 minutes
- Benefits: 6.5 hours of video, 22 articles, 79 downloadable resources, mobile and TV access, certificate of completion
Learning Outcomes
How programming works | How computers work and how that relates to modern web technology |
Programming language and path to pursue | 8 basic concepts of programming |
Evaluate, install and modify any content management system | Responsive design, pair programming, PaaS systems and the growth of APIs |
Technology and ecosystem of interest | Concept of a programming framework |
Difference between a framework, library, and IDE | Reason Comcast keeps billing $29.99 |
Factoids about Bill Gates and Steve Jobs | – |
Python for Software Engineering Bootcamp
This course is designed for people who don’t know how to code yet. It helps them learn the tech skills they need to become a software engineer. The course will teach you how to create, test, and use APIs and web services using Python. Students will learn how to write neat, well-checked, and ready-to-use code, preparing them for real-world software development jobs.
- Course Rating: 4.6/5
- Duration: 40 hours 55 minutes
- Benefits: 41 hours of video, 1 downloadable resource, assignments, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
Proper and clean Python code | How to develop APIs in Python |
Skills required to work as a software engineer | How to properly test your code |
How to write scalable applications | How to interact with databases in code |
How to add caching to code | GitHub to automatically test and deploy code |
Docker to build containerised applications | – |
Introduction to Software Engineering
This course teaches important ideas in software engineering. It covers everything from the process of making software, finding out what needs to be built, creating a good design, writing smart code, testing, launching, and maintaining it. The course gives students a deep understanding of software engineering, helping them make great software that people love to use. It helps students discover their potential in software engineering and learn useful skills for the digital world.
- Course Rating: 4.1/5
- Duration: 47 minutes
- Benefits: 1 hour of video, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
Key principles of software engineering | Skills in documenting requirements |
Fundamental principles of software design | Importance of software testing |
Deployment strategies | – |
Software engineering: From Developer to Tech Lead
This course covers crucial skills like enhancing code quality, using agile methods, leading a team, and solving issues. It emphasizes real-world practice by involving students in a project called GameVault on GitHub. This equips students with a mix of coding and leadership skills. By the end of the course, students will be prepared to improve code, streamline development processes, lead teams effectively, manage time well, and overcome challenges skillfully.
- Course Rating: No rafting (New Course)
- Duration: 1 hour 44 minutes
- Benefits: 1.5 hours of video, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
Identifying, addressing technical debt | Manage time properly |
Break-down, plan and prioritise work | Design Patterns to refactor code |
Strangler pattern and feature flag | Test Driven Development to ship quality code |
Emotional intelligence to lead team | Incident management to respond to urgencies |
Agile in comparison with Waterfall | – |
Leave feedback about this