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.