From Zero to AI: A Complete Learning Roadmap
I recently published Zero to AI — a completely free, open-source curriculum designed to take you from absolute beginner to production-ready AI engineer.
After 17+ years in software engineering, I noticed most AI courses either skim the surface or drown you in unstructured theory. Zero to AI is different. It's built on 700+ interactive Jupyter notebooks that you can run directly in your browser with zero setup.
The Curriculum
The course is broken down into four practical phases:
- Foundations: Python, Data Science (Pandas, NumPy), and Math for ML.
- Core Machine Learning: Neural Networks, PyTorch/TensorFlow, and classical ML algorithms.
- Modern AI: Large Language Models (LLMs), Prompt Engineering, Vector Databases, and Retrieval-Augmented Generation (RAG).
- Production: MLOps, Autonomous AI Agents, Fine-tuning, and deploying real-world applications.
Start Learning
You don't need to install anything to get started. You can run the code directly in Google Colab or GitHub Codespaces.
👉 Start the Zero to AI Course Here
👉 View the Source Code on GitHub
Note: This is a comprehensive path. A realistic time investment is 6 to 12 months at 10-15 hours per week.