AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
4h 55m 24s
English
Paid
AI For Developers With GitHub Copilot, Cursor AI & ChatGPT is a 76-lesson 4 hours 55 minutes self-paced course by Academind Pro (Maximilian Schwarzmüller). This course is designed for developers who want to effectively leverage AI!
Course facts
Lessons
76
Duration
4 hours 55 minutes
Level
All levels
Language
English
Updated
Instructor
Academind Pro (Maximilian Schwarzmüller)
Price
Premium
This course is designed for developers who want to effectively leverage AI!
AI is not a threat but a powerful tool that can make you an even more productive developer. While AI can generate code and assist with routine tasks, your knowledge is still necessary to create secure, reliable, and complex applications. This course will teach you how to combine your skills with AI capabilities to boost productivity.
By learning how to use AI tools like GitHub Copilot and Cursor AI, you will be able to perform routine tasks faster and more easily, leaving more time for the most important and creative aspects of development. This course will show you how to do just that.
You will learn to seamlessly integrate AI into your work to complement your knowledge without replacing it. AI is meant to enhance your skills, not replace them.
Through the course, with practical examples using GitHub Copilot, Cursor AI, and external services like ChatGPT, you will learn how to use AI to accelerate code, increase productivity, and solve complex problems. Whether you are a beginner developer or an experienced professional, this course will show you how to apply these tools to maximum benefit.
What Awaits You in This Course?
Introduction to GitHub Copilot: Learn the basics of GitHub Copilot, including code suggestions, chat, and contextual hints.
Advanced Use of GitHub Copilot: Master more complex features like generating unit tests, chat settings, and prompts for performing complex tasks.
Mastering Work with Cursor AI: Discover how Cursor helps accelerate programming with code completion, chat, Cursor Composer, and smart suggestions.
External AI Tools: Integration with external services like ChatGPT to simplify planning, research, and even asset generation tasks.
Practical Project: Create a REST API from scratch using AI tools. From planning and structuring the application to generating code, implementing features, and fixing errors - you'll see how AI assists at every stage.
Basics of Prompt Engineering: Learn how to improve prompts to AI to get accurate responses and increase efficiency.
Debugging and Error Correction with AI: Evaluate how AI tools help detect errors, fix bugs, and improve overall code quality.
This course is short, practical, and aimed at equipping you quickly with everything necessary to enhance productivity.
I believe the future of development is a collaboration between AI and developers, and this course provides you with the necessary tools for such interaction.
Academind is the teaching brand of Maximilian Schwarzmüller (Max) and Manuel Lorenz, two German developers whose Udemy catalog has become one of the largest single-instructor presences on that platform. Max in particular is widely cited as one of the clearest teachers of the JavaScript framework landscape — his Angular, React, Vue, and Node.js courses have collectively taught millions of students.
The Academind Pro platform extends beyond Udemy with deeper, more comprehensive courses aimed at developers building real applications rather than picking up syntax. Course material covers the full modern web stack: React (including Next.js), Vue, Angular, Node.js, NestJS, TypeScript, Docker, AWS, React Native, Flutter, and the broader full-stack JavaScript ecosystem.
The CourseFlix listing under this source carries over 25 Academind Pro courses spanning that range. Material is paid; Academind Pro runs on per-course pricing on the original platform. Courses are taught in Max's signature thorough, build-an-application-with-me style — long-form, deeply project-based, and continuously updated as the underlying frameworks evolve.
What lessons are included in AI For Developers With GitHub Copilot, Cursor AI & ChatGPT?
This is a demo lesson (10:00 remaining)
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Welcome to the first part of our comprehensive two-part course! In this module, you will gain a foundational understanding of creating applications using the.
4h 4m5/5
Frequently asked questions
What prior knowledge is required before taking this course?
Participants should have a foundational understanding of programming concepts and familiarity with coding in languages like Python. The course assumes a basic knowledge of software development practices as it focuses on integrating AI tools like GitHub Copilot and Cursor AI into existing workflows. No prior experience with AI tools is necessary, as the course covers installation and setup procedures.
What will I build or achieve by the end of this course?
By the end of the course, you will have developed skills to use AI tools effectively in your programming workflow. You'll be equipped to write Python scripts with AI assistance, automate unit test generation, and create new projects using GitHub Copilot and Cursor AI. Additionally, you will complete a demo project involving a REST API with user registration, login features, and database connectivity using Cursor AI.
Who is the intended audience for this course?
This course is designed for both beginner and experienced developers who want to enhance their coding productivity using AI tools. It is suitable for individuals interested in leveraging AI for code generation, error handling, and project planning, regardless of their prior experience with AI technologies.
How does this course compare to others in terms of depth and scope?
The course provides a comprehensive exploration of AI tools specific to development, focusing on GitHub Copilot, Cursor AI, and ChatGPT. It offers detailed lessons on prompt engineering, code completion, and debugging within these platforms. Unlike broader AI courses, this course emphasizes practical application in a developer's day-to-day tasks, with a strong focus on enhancing productivity through AI integration.
What specific tools or platforms are covered in this course?
The course covers GitHub Copilot for AI-powered code completion, Cursor AI for smart code suggestions and debugging, and external services like ChatGPT for application planning and development solutions. It provides hands-on experience with these tools, including their features like inline chat, sidebar chat, and the Copilot Slash Commands.
What topics are not covered in this course?
This course does not delve into advanced machine learning concepts or AI model training. Instead, it focuses on applying existing AI tools to enhance development workflows. It also does not cover non-programming uses of AI or applications outside of software development.
What is the expected time commitment to complete the course?
The course comprises 76 lessons, which are designed to be completed at your own pace. While the exact runtime is not specified, students can expect to invest several hours per week over a few weeks to fully engage with the material and practice the skills taught, especially when working through the practical projects and examples provided.