Phase 22: References & Hands-On Labs

Welcome to the labs section! Here you’ll find curated hands-on exercises and projects to practice your AI/ML skills.

📚 Available Lab Collections

Microsoft Labs

10+ FREE courses with 100+ interactive lessons

Featured courses:

  • 🤖 AI for Beginners (38.8k ⭐) - 24 lessons

  • 📊 Machine Learning for Beginners (72.2k ⭐) - 26 lessons

  • 🎨 Generative AI for Beginners (75.5k ⭐) - 18 lessons

  • 🦙 LangChain for Python, JavaScript, Java

  • 🤝 AI Agents for Beginners

  • And more!

Start with Microsoft Labs →

Video Courses

Essential video tutorials from top educators

Featured channels:

  • 🎓 Stanford: CS229, CS224N, CS231N

  • 🧠 3Blue1Brown: Neural networks visualized

  • 💻 Andrej Karpathy: Build GPT from scratch

  • 📚 DeepLearning.AI: Practical short courses

  • 📊 StatQuest: ML concepts simplified

Browse Video Courses →

Cloud Platforms

Learn AI/ML on AWS, Google Cloud, and Azure

Featured resources:

  • ☁️ AWS SageMaker deep dives

  • ☁️ Google Cloud AI tutorials

  • ☁️ Azure ML certification paths

  • ☁️ Free tier guides and best practices

Explore Cloud Labs →

🎯 How to Use Labs

  1. Choose labs that match your current learning phase

  2. Clone the repository from GitHub

  3. Complete exercises and build projects

  4. Track your progress using checklists

  5. Share your work on GitHub/LinkedIn

💡 Lab Best Practices

Before Starting:

  • ✅ Review the corresponding theory in main curriculum

  • ✅ Set up your development environment

  • ✅ Allocate dedicated practice time (2-3 hours minimum)

While Working:

  • ✅ Type code yourself (don’t just copy-paste)

  • ✅ Experiment with variations

  • ✅ Take notes on what you learn

  • ✅ Ask questions in course discussions

After Completing:

  • ✅ Review what you learned

  • ✅ Build a variation or extension

  • ✅ Add to your portfolio

  • ✅ Share your experience

📊 Track Your Progress

Keep a log of completed labs:

## My Lab Progress

### Microsoft Labs
- [ ] AI for Beginners - Lesson 1: Introduction
- [ ] AI for Beginners - Lesson 2: Neural Networks
- [ ] ML for Beginners - Lesson 1: Getting Started
...

### Projects Built
1. [Project Name] - [GitHub Link] - [Date Completed]
2. [Project Name] - [GitHub Link] - [Date Completed]

🚀 Coming Soon

More lab collections coming:

  • Kaggle Competitions Guide

  • Custom practice projects

Ready to practice? → Microsoft Labs | Video Courses