
GitHub Copilot for Developers: Code Faster With AI Agents — 91% Off Coupon
Master AI agent-powered coding workflows with GitHub Copilot and learn how modern developers code faster and smarter
Course Summary & Verified Data
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Learning Objectives
By the end of this course, you will be able to:
Prerequisites & Preparation
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Full Course Description
The official description from Udemy — what's covered, how it's taught, and who it's for:
- Generate production-ready code using structured prompts
- Fix bugs, refactor legacy code, and improve readability
- Automatically generate meaningful unit tests
- Improve performance and detect potential security issues
- Use Agent, Ask, Plan, and Edit modes effectively
- Create powerful instruction files to control AI behaviour
- Build and manage custom AI agents
- Design workflows using Local, Background, and Cloud agents
- Understand MCP (Model Context Protocol) and modern AI tooling
- Integrate AI deeply into your development lifecycle
- What prompts are really (User vs System prompts)
- Context and context windows
- Tokens and how they affect output quality
- Models and how to choose the right one
- LLM vs SLM differences
- How tools like Copilot, Cursor, Claude Code, Codex, and others differ
- This phase gives you the mental model required to control AI instead of randomly guessing prompts.
- Proper Copilot setup and configuration
- Inline suggestions vs chat-based workflows
- Using the chat window effectively
- Understanding and using Agent, Ask, Plan, and Edit modes
- Managing sessions and checkpoints
- Using the built-in browser
- Bring Your Own Key configuration
- This phase focuses on practical usage so you can immediately apply Copilot in daily development.
- Instruction files (copilot-instructions and custom instructions)
- Prompt files for reusable AI workflows
- Custom agents tailored to your project needs
- Agent skills for specialised tasks
- Local agents vs background agents vs cloud agents
- Git integration and smart actions
- MCP (Model Context Protocol) for advanced integrations
- AI code security best practices
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Our Expert Assessment
Student Ratings Breakdown
Rated 4.6/5 by 5,257 students on Udemy. The estimated breakdown:
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: July 29, 2026.
Meet Your Instructor
Learn more about Shubham Sarda, the instructor behind this course on Udemy.
Common Questions
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