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The Complete AI Learning Path

12 modules across 4 levels, 60+ lessons. Free for every CLI College student.

🌱 Beginner

Modules 1–4

🚀 Intermediate

Modules 5–6

⚡ Advanced

Modules 7–9

🏆 Professional

Modules 10–12

Module 1 · What is AI?

Beginner
  • History of artificial intelligence
  • AI vs ML vs Deep Learning
  • AI you already use daily
  • Ethics & responsible AI

Module 2 · Your First Python

Beginner
  • Installing Python & editor
  • Variables, types, print()
  • Loops & conditionals
  • Your first script

Module 3 · Data Foundations

Beginner
  • What is data?
  • Spreadsheets to datasets
  • Reading files with Pandas
  • Cleaning messy data

Module 4 · Math for AI (Lite)

Beginner
  • Vectors & matrices visually
  • Probability in plain language
  • Why gradients matter
  • Intuition over equations

Module 5 · Machine Learning Basics

Intermediate
  • Supervised vs unsupervised
  • Train/test split
  • Linear & logistic regression
  • Your first classifier

Module 6 · Models That Learn

Intermediate
  • Decision trees & random forests
  • K-Nearest Neighbors
  • Feature engineering
  • Accuracy & recall

Module 7 · Neural Networks

Advanced
  • How neurons work
  • Building a net in PyTorch
  • Backpropagation
  • Avoiding overfitting

Module 8 · Computer Vision

Advanced
  • Images as tensors
  • CNNs explained
  • Classifying photos
  • Object detection basics

Module 9 · Natural Language AI

Advanced
  • Text to numbers (embeddings)
  • Transformers intuitively
  • Sentiment & classification
  • Building a chatbot

Module 10 · Large Language Models

Professional
  • How LLMs work
  • Prompt engineering
  • Retrieval-Augmented Generation
  • Fine-tuning vs API

Module 11 · Shipping AI Products

Professional
  • Packaging a model as an API
  • Containers & deployment
  • Production monitoring
  • Cost & latency optimization

Module 12 · MLOps & Scale

Professional
  • CI/CD for ML
  • Model versioning
  • A/B testing models
  • Capstone: ship a real app
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