AI Coding Assistant Fundamentals Training in Copenhagen, Denmark

This course provides developers, engineers, and technical professionals with the foundational knowledge and skills to effectively use AI-powered coding assistants (such as GitHub Copilot, ChatGPT, Claude, and Cursor). It covers the basics of prompt engineering for coding, code generation, debugging, testing, and integration into everyday development workflows.

Introduction to AI Coding Assistants

• What are AI coding assistants?

• Overview of tools (Copilot, ChatGPT, Claude, Cursor)

• Benefits and limitations in real-world software development

Prompt Engineering for Coding

• Writing basic prompts for code generation

• Adding context for better responses

• Controlling output format (functions, classes, APIs)

Code Generation & Refactoring

• Using AI to generate reusable functions and modules

• Refactoring code for clarity and efficiency

• Comparing AI-generated solutions vs manual coding

Debugging & Testing with AI

• Identifying and fixing common bugs

• Asking AI to explain errors and suggest fixes

• Generating unit and integration tests with AI

Documentation & Productivity

• Auto-generating code documentation and API references

• Using AI for learning new frameworks & libraries

• Integrating assistants into IDEs and dev workflows

Best Practices & Responsible Use

• Avoiding over-reliance on AI-generated code

• Ensuring code security and compliance

• Ethical considerations and intellectual property issues

Hands-on Exercises

Summary and Conclusion