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Starts 3 July 2025 13:27

Ends 3 July 2025

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Code Faster with AI: ChatGPT, GitHub Copilot, Tabnine & More

Boost your coding productivity in 2024 using AI code assistants. Generate code, fix, refactor, unit test, and more!
via Udemy

4123 Courses


2 hours 26 minutes

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Paid Course

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Overview

In today's fast-paced technological landscape, staying ahead of the competition is paramount for any programmer. The integration of AIinto the coding process dramatically increases efficiency, enhance code quality, and reduce time spent on debugging and routine tasks.

This course is designed for forward-thinking developers who recognize the necessity of adapting to these changes to maintain a competitive edge.

Syllabus

  • Introduction to AI in Coding
  • Overview of AI tools for programming
    Benefits of integrating AI into your workflow
  • Understanding ChatGPT for Coding
  • Setting up and accessing ChatGPT
    Use cases: code generation, debugging, and learning
    Best practices for using ChatGPT effectively
  • Exploring GitHub Copilot
  • Introduction to GitHub Copilot and setup
    Navigating Copilot’s suggestions
    Use cases: autocomplete, test generation, and documentation
    Tips for maximizing Copilot’s value
  • Utilizing Tabnine for Code Completion
  • Overview of Tabnine and setup process
    Features and functionalities of Tabnine
    Code completion strategies with Tabnine
    Integrating Tabnine into different IDEs
  • Additional AI Tools for Developers
  • Overview of other AI-based coding assistants
    Comparison and evaluation of different tools
    Selection criteria for AI coding tools based on needs
  • Enhancing Code Quality with AI
  • Automated code review and refactoring
    Leveraging AI to enforce code standards
    AI-based testing tools and automation
  • Reducing Debugging Time via AI
  • Identifying common debugging tasks AI can assist with
    Tools and techniques to streamline debugging
    Case studies on AI-assisted debugging
  • Future Trends in AI-Assisted Coding
  • Emerging technologies and tools
    The impact of AI on future software development practices
    Ethical considerations and challenges
  • Practical Workshops and Case Studies
  • Hands-on exercises with ChatGPT, GitHub Copilot, and Tabnine
    Real-world case studies on AI integration in coding projects
    Group projects to apply knowledge in a collaborative setting
  • Course Conclusion and Certification
  • Summary of key takeaways
    Final assessment and feedback
    Certification of completion and further learning resources

Taught by

Ardit Sulce


Subjects

Programming