Overview
Boost your coding productivity in 2024 using AI code assistants. Generate code, fix, refactor, unit test, and more!
Syllabus
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- 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
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On-Demand
