Program Outline: AI Assisted Programming#
Duration:#
4 Days
Course Audience:#
Technical Leads, Technical Architects, Service Delivery Managers
Target Unit:#
Delivery CoE, Product, Internal Applications
Course Outline#
Day 1: Foundations of AI-Assisted Programming#
Morning Sessions 9:00 AM to 1:00 PM#
1. Session 1 - Introduction to AI-Assisted Programming (9:00 AM - 10:30 AM)
- Overview of AI in Software Development
- Key Benefits of AI-Assisted Tools for Developers
2. Session 2 - Understanding Code Generators (10:45 AM - 1:00 PM)
- Introduction to Tools like GitHub Copilot and ChatGPT
- Exploring Use Cases: Boilerplate Code, Debugging, and Optimization
Lunch 1:00 PM to 2:00 PM
Afternoon Sessions 2:00 PM to 5:00 PM#
3. Session 3 - Hands-on with GitHub Copilot (2:00 PM - 3:30 PM)
- Setting Up and Configuring GitHub Copilot
- Writing and Refining Code with AI Assistance
4. Session 4 - Collaborative Programming with AI (3:45 PM - 5:00 PM)
- Pair Programming: AI as a Virtual Coding Partner
- Best Practices for Effective Human-AI Collaboration
Day 2: Advanced AI-Assisted Programming#
Morning Sessions 9:00 AM to 1:00 PM#
5. Session 5 - Natural Language Processing (NLP) for Programming (9:00 AM - 10:30 AM)
- How NLP Powers AI-Assisted Tools
- Enhancing Code Search and Documentation
6. Session 6 - AI for Code Review and Testing (10:45 AM - 1:00 PM)
- Using AI to Automate Code Reviews
- Tools for Generating and Running Test Cases
Lunch 1:00 PM to 2:00 PM
Afternoon Sessions 2:00 PM to 5:00 PM#
7. Session 7 - Debugging with AI Assistance (2:00 PM - 3:30 PM)
- Identifying Bugs and Suggesting Fixes with AI
- Debugging Examples and Use Cases
8. Session 8 - Exploring Code Refactoring with AI (3:45 PM - 5:00 PM)
- Simplifying Complex Code Structures
- Improving Code Readability and Maintainability
Day 3: AI in Real-World Development Scenarios#
Morning Sessions 9:00 AM to 1:00 PM#
9. Session 9 - AI-Assisted API Development (9:00 AM - 10:30 AM)
- Generating APIs and Integrating with Existing Systems
- Hands-on Activity: Building APIs with AI
10. Session 10 - AI in Cloud and DevOps (10:45 AM - 1:00 PM)
- Automating CI/CD Pipelines with AI
- AI for Cloud Resource Management
Lunch 1:00 PM to 2:00 PM
Afternoon Sessions 2:00 PM to 5:00 PM#
11. Session 11 - AI for Frontend and UX Development (2:00 PM - 3:30 PM)
- Using AI to Generate Responsive Designs
- Improving User Interfaces with AI Feedback
12. Session 12 - Building AI-Powered Applications (3:45 PM - 5:00 PM)
- Incorporating AI Features in Applications
- Examples and Case Studies
Day 4: Integrating and Mastering AI-Assisted Tools#
Morning Sessions 9:00 AM to 1:00 PM#
13. Session 13 - Customizing AI Tools for Your Team (9:00 AM - 10:30 AM)
- Configuring Tools to Fit Development Needs
- Adapting AI for Organization-Specific Use Cases
14. Session 14 - Ethical AI and Developer Responsibility (10:45 AM - 1:00 PM)
- Addressing Bias and Data Privacy Concerns
- Understanding the Limits of AI in Development
Lunch 1:00 PM to 2:00 PM
Afternoon Sessions 2:00 PM to 5:00 PM#
15. Session 15 - Capstone Project: AI-Assisted Development (2:00 PM - 4:00 PM)
- Team Activity: Solve a Real-World Development Challenge Using AI Tools
16. Session 16 - Feedback and Future Trends (4:00 PM - 5:00 PM)
- Discussion: Evolving AI Technologies for Programming
- Participant Presentations and Closing Remarks
Key Outcomes:#
- Understand the fundamentals and capabilities of AI-assisted programming tools.
- Enhance coding efficiency, accuracy, and collaboration through AI tools.
- Learn practical techniques for debugging, testing, and API development with AI.
- Develop a project leveraging AI-assisted tools tailored to real-world scenarios.
Recommended Pre-Course Preparation:#
- Basic familiarity with programming languages (e.g., Python, JavaScript).
- Explore GitHub Copilot or ChatGPT for developers (optional).
- Review examples of AI-generated code and test cases.
Materials Provided:#
- Comprehensive course slides and handouts.
- Access to AI tools and trial subscriptions.
- Links to further learning resources.
- Certificate of Completion.
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