Learn AI Engineering

A comprehensive, structured path from mathematical foundations to production-ready AI systems — covering Python, deep learning, LLMs, RAG, agents, and MLOps.

Mathematical Foundations

Mathematics for Artificial Intelligence
Linear Algebra
Calculus, Probability & Statistics
Information Theory for Artificial Intelligence
Optimization Mathematics for Deep Learning

Python

Complete Python Tutorial

AI & ML Fundamentals

Introduction to AI & ML • simple deep guide for beginners
AI Fundamentals
Machine Learning Made Simple
Practical Applications & Conclusion

Deep Learning

Deep Learning — From Scratch
Training neural networks: How does a machine "learn"?
Transformers LLM Applications and the Future

Deep Learning Specializations

Foundations of Deep Learning
Improving Deep Neural Networks
Convolutional Neural Networks (CNN)
Sequence Models
Advanced Deep Learning & Generative AI

Generative AI

What is generative artificial intelligence?
How do Generative AI models work?
Prompt Engineering: How to write AI commands that achieve professional results
Real-world applications of Generative AI
A real step-by-step Generative AI project

Large Language Models (LLMs)

Lessons coming soon.

Prompt Engineering

Lessons coming soon.

Retrieval-Augmented Generation (RAG)

Lessons coming soon.

AI Agents

Lessons coming soon.

Model Context Protocol (MCP)

Lessons coming soon.

MLOps & Deployment

Lessons coming soon.