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All Courses

Explore our comprehensive AI learning curriculum, designed to take you from beginner to production-ready AI engineer.

🌱 Foundation Track

Perfect for beginners - Build essential programming and math skills for AI development.

Python for AI

Python for AI

✅ Available Now | 7 Lessons | 2 Weeks

Master Python essentials for AI development, from basics to NumPy. Build a MNIST digit classifier with hands-on Colab notebooks.

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📐

Math Essentials

⏳ Coming Soon | Weeks 3-4

Linear algebra, calculus, probability, and statistics foundations for understanding ML algorithms.

🤖

Introduction to ML

⏳ Coming Soon | Weeks 5-7

Learn machine learning fundamentals: supervised/unsupervised learning, classification, regression, and model evaluation.

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🚀 Core Track

Intermediate level - Deep dive into neural networks, computer vision, and NLP.

🧠

Deep Learning Fundamentals

⏳ Coming Soon | 4 Weeks

Neural networks, backpropagation, optimization algorithms, and PyTorch/TensorFlow frameworks.

📷

Computer Vision

⏳ Coming Soon | 3 Weeks

CNNs, image classification, object detection, transfer learning, and real-world CV applications.

💬

NLP Basics

⏳ Coming Soon | 3 Weeks

Text processing, embeddings, RNNs, sequence models, and sentiment analysis projects.

🚢

Model Deployment

⏳ Coming Soon | 2 Weeks

Deploy models with FastAPI, Docker containers, and cloud platforms (AWS, GCP, Azure).

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⚡ Advanced Track

Production-ready skills - LLMs, generative AI, MLOps, and capstone project.

🤯

Transformers & LLMs

⏳ Coming Soon | 4 Weeks

Attention mechanisms, BERT, GPT architectures, fine-tuning LLMs, and Hugging Face ecosystem.

🎨

Generative AI

⏳ Coming Soon | 3 Weeks

VAEs, GANs, Diffusion models, Stable Diffusion, and text-to-image generation.

⚙️

MLOps & Production

⏳ Coming Soon | 3 Weeks

Model versioning, Docker, monitoring, CI/CD pipelines, and cloud deployment workflows.

🏆

Capstone Project

⏳ Coming Soon | 4 Weeks

End-to-end ML project: research, implementation, deployment, documentation, and portfolio showcase.

View Full Advanced Track →

🎯 Learning Path

Follow our structured curriculum from beginner to production-ready AI engineer:

graph LR
    A[Foundation Track<br/>7 weeks] --> B[Core Track<br/>12 weeks]
    B --> C[Advanced Track<br/>14 weeks]
    C --> D[Industry Ready!]
    style A fill:#667eea,color:#fff
    style B fill:#f5576c,color:#fff
    style C fill:#4facfe,color:#fff
    style D fill:#2ecc71,color:#fff

Total Program Duration: ~33 weeks (8 months at recommended pace)

💡 Course Features

All courses include:

  • ✅ 100% Free - No paywalls, ever
  • 🌍 Globally Accessible - Works on any device
  • 🚀 Hands-On - Google Colab notebooks with free GPUs
  • 📱 Mobile-Friendly - Learn on the go
  • 🤝 Community Support - GitHub Discussions
  • 🎓 Portfolio Projects - Build real-world applications

🚀 Get Started

Ready to begin your AI journey?

  1. Complete Beginner? Start with Foundation Track
  2. Have Python/ML basics? Jump to Core Track
  3. Ready for production? Explore Advanced Track

Questions? Join our GitHub Discussions or check the FAQ.