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❓ Frequently Asked Questions

General Questions

Q: How long does the complete workshop take?

A: The workshop contains 30 modules, each designed for 3 hours. Total time is 90 hours of content. Most participants complete it in 3-6 months depending on their pace and prior experience.

Q: Can I skip modules?

A: Modules are designed to build on each other. While you can skip, we strongly recommend following the sequence for best results. Each track has prerequisites clearly marked.

Q: What if I get stuck on an exercise?

A: Each exercise includes:

  • Step-by-step instructions
  • Starter code
  • Complete solutions
  • Troubleshooting guide

Start with the instructions, try the starter code, and reference the solution if needed.

Q: Is this workshop suitable for beginners?

A: Yes! The Fundamentals track (Modules 1-5) is designed for beginners with basic programming knowledge. No AI experience required.

Q: Do I need to complete all 30 modules?

A: Not necessarily. You can stop after any track completion:

  • After Module 5: Basic AI coding skills
  • After Module 10: Full-stack AI development
  • After Module 15: Cloud-native development
  • After Module 20: Enterprise-ready skills
  • After Module 25: AI agent expertise
  • After Module 30: Complete mastery

Technical Questions

Q: Do I need to pay for GitHub Copilot?

A: Yes, GitHub Copilot requires a subscription ($10/month individual or $19/month business). There's a 30-day free trial available.

Q: Can I use the Azure free tier?

A: Yes, most modules work with Azure free tier. Modules 16-30 may require paid services, but costs are minimal (<$50/month if following cleanup procedures).

Q: What programming languages do I need to know?

A:

  • Python (primary language, modules 1-25)
  • Basic JavaScript/TypeScript (agent modules 21-25)
  • C#/.NET (module 26 and 29)
  • COBOL knowledge helpful but not required (module 27)

Q: Is Windows required?

A: No, the workshop supports Windows, macOS, and Linux. Some minor adjustments may be needed for scripts on different platforms.

Q: Can I use a different IDE instead of VS Code?

A: While VS Code is recommended for the best GitHub Copilot experience, you can use:

  • Visual Studio 2022 (for .NET modules)
  • JetBrains IDEs with Copilot plugin
  • Neovim with Copilot plugin

However, instructions are written for VS Code.

Q: What if I don't have 16GB RAM?

A: You can still complete most modules with 8GB RAM by:

  • Running fewer services simultaneously
  • Using cloud-based development environments
  • Limiting Docker container resources

Learning Path Questions

Q: I'm a beginner. Where should I start?

A: Start with Module 1 and progress sequentially. The Fundamentals track (1-5) is designed for beginners with basic programming knowledge.

Q: I'm experienced. Can I fast-track?

A: Yes! Complete the prerequisite checker for each track. You might start at Module 6 or 11 depending on your experience.

Q: What's the difference between exercises?

A:

  • ⭐ Easy (30-45 min): Guided, step-by-step
  • ⭐⭐ Medium (45-60 min): Partial guidance, real scenarios
  • ⭐⭐⭐ Hard (60-90 min): Minimal guidance, production-like

Q: Should I complete all exercises in a module?

A: We recommend completing all three exercises per module to fully grasp the concepts. However, if time-constrained, prioritize exercises 1 and 2.

AI and Agent Questions

Q: What is MCP?

A: Model Context Protocol (MCP) is a standard for AI agents to communicate with external tools and systems. Module 23 covers this in depth.

Q: Do I need to understand agents before Module 21?

A: No, but you should complete modules 1-20 first. The agent modules (21-25) build on previous concepts.

Q: Can I build my own agents after this workshop?

A: Absolutely! Modules 21-25 teach you everything needed to build production-ready AI agents.

Q: What's the difference between GitHub Copilot and GitHub Copilot Agents?

A:

  • GitHub Copilot: AI pair programmer for code suggestions
  • GitHub Copilot Agents: Autonomous agents that can perform complex tasks, integrate with tools, and execute workflows

Resource Questions

Q: How do I clean up Azure resources?

A: Run the cleanup script after each module:

./scripts/cleanup-resources.sh --module [number]

Q: Where are the exercise solutions?

A: In each exercise folder: modules/module-XX/exercises/exerciseY/solution/

Q: Can I use this workshop for my team?

A: Yes, the workshop is designed for both individual and team learning. See the team learning guide in the main README.

Q: Are there video tutorials?

A: Currently, the workshop is text-based with detailed instructions. Community members sometimes share video walkthroughs in the Discussions.

Workshop Management

Q: How do I track my progress?

A:

  • Use the progress backup script: ./scripts/backup-progress.sh
  • Check off completed modules in the README
  • Keep a learning journal
  • Use Git commits to track your work

Q: Can I contribute to the workshop?

A: Yes! We welcome contributions. See the repository README for guidelines. You can:

  • Report issues
  • Suggest improvements
  • Add examples
  • Fix typos

Q: How often is the workshop updated?

A: We update the workshop quarterly with:

  • New Azure/GitHub features
  • Community feedback improvements
  • Bug fixes
  • Additional examples

Q: Is there a certificate of completion?

A: While we don't offer official certificates, you'll have:

  • A portfolio of 30 completed modules
  • 90 working exercises
  • Real-world projects to showcase
  • Skills that speak for themselves

Troubleshooting Questions

Q: Copilot isn't giving good suggestions. What's wrong?

A: Try:

  • Writing more descriptive comments
  • Providing more context in your code
  • Breaking complex problems into smaller parts
  • Checking your internet connection

Q: My Azure credits are running out. What should I do?

A:

  • Run cleanup scripts after each module
  • Use smaller resource SKUs
  • Set up cost alerts
  • Consider the Azure student offer if eligible

Q: The scripts aren't working on my system. Help!

A:

  • Check you're running from the workshop root directory
  • Ensure scripts have execute permissions
  • Try the PowerShell versions on Windows
  • See TROUBLESHOOTING.md for platform-specific issues

Career Questions

Q: Will this workshop help me get a job?

A: The workshop provides practical, production-ready skills highly valued in the industry. Combined with your existing experience and a strong portfolio, it significantly enhances your marketability.

Q: What roles can I target after completing this?

A: Depending on your background:

  • AI/ML Engineer
  • Cloud Solutions Architect
  • DevOps Engineer
  • Full-Stack Developer (AI-Enhanced)
  • AI Agent Developer
  • Enterprise Architect

Q: Should I mention this workshop on my resume?

A: Yes! Include it as professional development, highlighting:

  • 90 hours of hands-on AI development training
  • 30 production-ready projects completed
  • Specific technologies mastered
  • Link to your GitHub portfolio

Still have questions?

  1. Check module-specific READMEs
  2. Search GitHub Discussions
  3. Review TROUBLESHOOTING.md
  4. Ask in the community!

Remember: There are no silly questions. We're all here to learn! 🚀

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