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Course Outline
Introduction to AI Coding Assistants
- What are AI coding assistants?
- History and evolution of AI in software development
- Benefits and limitations of AI coding assistants
Core Technologies Behind AI Coding Assistants
- Overview of machine learning and natural language processing
- Introduction to code generation algorithms
- Integration of AI with development tools
Exploring Popular AI Coding Assistant Tools
- Overview of tools like GitHub Copilot, IntelliCode
- Hands-on sessions with basic features
- Comparative analysis of different tools
Basic Workflow Integration
- Setting up an AI coding assistant in an IDE
- Using AI assistants for simple coding tasks
- Customizing the assistant for specific needs
Ethical Considerations and Responsible Use
- Understanding bias and fairness in AI tools
- Basic guidelines for responsible use
- Privacy and security concerns
Project Work
- Applying an AI coding assistant to a small project
- Peer review and feedback
- Discussion on project improvements and lessons learned
Summary and Next Steps
Requirements
- Basic understanding of software development
- Experience with at least one programming language (e.g., Python, JavaScript)
Audience
- Software developers
- Product managers
- Technical team leads
14 Hours
Testimonials (1)
Lecturer's knowledge in advanced usage of copilot & Sufficient and efficient practical session