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GitHub: Advanced Prompt Engineering for Code

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.
Duration 6 Months
Institution Pragmatic AI Labs
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Pragmatic AI Labs.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $183
Total Est. Investment $183

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the GitHub: Advanced Prompt Engineering for Code program at Pragmatic AI Labs are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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