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Coursera

GitHub: Advanced Prompt Engineering for Code

Pragmatic AI Labs via Coursera

Overview

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Move beyond basic code completions and learn to use GitHub Copilot as a conversational development partner. This course teaches you how to structure multi-turn interactions that build context incrementally, producing more accurate and relevant code than single-shot prompts. You will master iterative refinement techniques that transform rough initial outputs into production-quality code through structured follow-up prompts and scope narrowing. The course covers the three Copilot interaction modes — Ask, Edit, and Agent — and when to use each for maximum effectiveness. You will learn to control context precisely using chat inputs like @workspace references, #file markers, and open editor tabs. Advanced topics include generating API documentation directly from code, creating implementation code from API specifications, and navigating unknown codebases using structured Copilot conversations. Each technique is demonstrated with real-world projects in Visual Studio Code, giving you practical patterns you can apply immediately to your own development workflow. A capstone project synthesizes all techniques into an end-to-end AI-assisted development scenario.

Syllabus

  • Conversational Prompting and Iterative Refinement
    • Learn the core skills of advanced prompt engineering
  • Advanced Context and Multi-File Workflows
    • Covers key details of context and working with large projects
  • Capstone — Advanced Prompting in Practice
    • Putting it all together. Learning to use prompts and context to build advanced solutions

Taught by

Alfredo Deza

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