Trainings & Guides

Advanced Prompting with GitHub Copilot

This course teaches advanced GitHub Copilot prompting by starting with the basics and progressing to conversational, multi-turn workflows that you refine iteratively and evaluate for better outcomes. You’ll learn to supply rich context across multiple files and open editors to improve code accuracy, while practicing real-world tasks like refactoring and generating code directly from API documentation.

March 16, 2026 By Christopher Jordan, Technology Services - Student Affairs

1 min. read

Instructor: Pragmatic AI Labs
Released: 11/25/2025
Length: ~1 hour, 13 minutes
Platform: LinkedIn Learning
Skill Level: Advanced
Purpose: The purpose of this course is to teach developers how to master advanced GitHub Copilot prompting—progressing from basics to multiturn conversational workflows—so they can iteratively refine prompts, provide rich multi-file context, and apply techniques like refactoring and API-driven code generation for more accurate AI-assisted coding.

Advanced Prompting with GitHub Copilot

This course teaches advanced GitHub Copilot prompting by starting with the basics and progressing to conversational, multi-turn workflows that you refine iteratively and evaluate for better outcomes. You’ll learn to supply rich context across multiple files and open editors to improve code accuracy, while practicing real-world tasks like refactoring and generating code directly from API documentation.

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* Please sign in at the top of the LinkedIn Learning Website with your TAMU email address.

This course will provide the following:

1. Foundations for Advanced Prompting
  • From basic to conversational AI
  • The power of multiturn interactions
  • Chat inputs
  • Chat modes
2. Mastering Conversational AI
  • Crafting multiturn prompts
  • Iterative refinement techniques
  • Challenge: Refactor with conversation
  • Solution: Refactor with conversation
  • Analyzing your conversational approach
3. Advanced Context Scaffolding
  • Providing context from multiple files
  • Leveraging open files for accuracy
  • Challenge: Generate code from API docs
  • Solution: Generate code from API docs
  • Working with unknown codebases
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