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Learn Artificial Intelligence
From A to Z

A complete, structured path from "what is AI?" to building and shipping LLM apps — with runnable code and principal-engineer clarity. Built for engineering students and self-learners.

Start with Lesson 1 →
33
Free Lessons
7
Learning Tracks
A→Z
Zero to LLM Apps
₹0
Forever Free

The Complete Roadmap

Seven tracks, in order. Each lesson links to the next — just start at the top and keep going.

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AI Foundations

6 lessons

What AI, ML, deep learning and GenAI actually are — and how they fit together.

1 What is AI, ML, Deep Learning & GenAI? The Real Map Beginner 2 How Machines Actually Learn — Gradient Descent in Plain English Beginner 3 Supervised, Unsupervised & Reinforcement Learning Beginner 4 50 AI Terms Explained in One Line Each Beginner 5 AI Bias, Safety & Ethics — What Every Builder Must Know Beginner 6 The AI Tools Landscape 2026 — What to Learn and Skip Beginner
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Python & Math for AI

3 lessons

The exact Python, NumPy and just-enough math you need. No PhD required.

1 Python for AI — The 20% You Use in Every Notebook Beginner 2 NumPy & Pandas Essentials for AI Beginner 3 Just-Enough Math for AI (No PhD Required) Beginner
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Machine Learning

6 lessons

Regression, classification, evaluation and the workflow behind every model.

1 The Machine Learning Workflow — End to End Beginner 2 Your First ML Model with scikit-learn (Full Example) Beginner 3 Regression vs Classification — With Real Models Beginner 4 Accuracy Is Not Enough — Precision, Recall & F1 Intermediate 5 Overfitting & Underfitting — The Central Problem of ML Intermediate 6 Feature Engineering — Where Models Are Really Won Intermediate
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Deep Learning

5 lessons

Neural networks, CNNs, RNNs and Transformers — built up from first principles.

1 Neural Networks From Scratch — The Intuition Intermediate 2 Your First Neural Network in PyTorch Intermediate 3 CNNs Explained — How Computers See Images Intermediate 4 Transformers & Attention — The Architecture Behind ChatGPT Advanced 5 Training vs Inference — Cost, Hardware & Why It Matters Intermediate
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Generative AI & LLMs

7 lessons

How ChatGPT works, prompt engineering, embeddings, RAG and fine-tuning.

1 How LLMs Actually Work — Next-Token Prediction Demystified Intermediate 2 Prompt Engineering — Get 10x Better Outputs Beginner 3 Embeddings & Vector Search — How AI Understands Meaning Intermediate 4 RAG Explained — Give LLMs Your Own Knowledge Intermediate 5 Fine-Tuning vs RAG vs Prompting — Which to Use Intermediate 6 Temperature, Top-p & Tokens — Controlling LLM Output Beginner 7 AI Agents Explained — LLMs That Take Actions Advanced
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Building AI Apps

4 lessons

Ship real products with the OpenAI/Claude APIs, RAG pipelines and agents.

1 Build Your First AI App with an LLM API Beginner 2 Build a "Chat With Your PDF" RAG App Intermediate 3 Taking an AI Feature to Production — Cost, Latency & Guardrails Advanced 4 10 AI Project Ideas That Get You Hired Beginner
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AI Career

2 lessons

Roles, portfolio projects and interview prep for AI/ML jobs.

1 AI Career Paths in 2026 — Roles, Skills & Salaries Beginner 2 AI/ML Interview Prep — The Questions You Will Be Asked Intermediate
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Want a certificate too?

Browse our curated list of the best free & paid AI certifications for 2026 — Google, AWS, Microsoft, IBM, DeepLearning.AI and more, each with a direct course link.

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Why This Course Is Different

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Structured A→Z

Not scattered videos — a real curriculum in order, each lesson building on the last.

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Engineer’s clarity

Intuition first, then code. Accurate, no hype, no gatekeeping math.

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Runnable code

Copy examples straight into Google Colab and run them free — including on a GPU.

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Job-focused

Ends in real projects and interview prep for AI/ML roles.

Ready?

The best time to start was yesterday. The second best is now.

Begin the AI Journey →