What You Need to Know Before
You Start
Starts 3 July 2025 13:27
Ends 3 July 2025
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Days
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Hours
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Minutes
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Seconds
2 hours 26 minutes
Optional upgrade avallable
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Progress at your own speed
Paid Course
Optional upgrade avallable
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
- Understanding ChatGPT for Coding
- Exploring GitHub Copilot
- Utilizing Tabnine for Code Completion
- Additional AI Tools for Developers
- Enhancing Code Quality with AI
- Reducing Debugging Time via AI
- Future Trends in AI-Assisted Coding
- Practical Workshops and Case Studies
- Course Conclusion and Certification
Overview of AI tools for programming
Benefits of integrating AI into your workflow
Setting up and accessing ChatGPT
Use cases: code generation, debugging, and learning
Best practices for using ChatGPT effectively
Introduction to GitHub Copilot and setup
Navigating Copilot’s suggestions
Use cases: autocomplete, test generation, and documentation
Tips for maximizing Copilot’s value
Overview of Tabnine and setup process
Features and functionalities of Tabnine
Code completion strategies with Tabnine
Integrating Tabnine into different IDEs
Overview of other AI-based coding assistants
Comparison and evaluation of different tools
Selection criteria for AI coding tools based on needs
Automated code review and refactoring
Leveraging AI to enforce code standards
AI-based testing tools and automation
Identifying common debugging tasks AI can assist with
Tools and techniques to streamline debugging
Case studies on AI-assisted debugging
Emerging technologies and tools
The impact of AI on future software development practices
Ethical considerations and challenges
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
Summary of key takeaways
Final assessment and feedback
Certification of completion and further learning resources
Taught by
Ardit Sulce
Subjects
Programming