Artificial Intelligence

Foundational concepts, algorithms, and applications of AI

35 chapters across 7 modules

1

Foundations Of AI

5 chapters

1

What is Artificial Intelligence?

7 min read

2

History of AI

7 min read

3

Types of AI

7 min read

4

The Agent Framework

9 min read

5

The AI/ML/DL/NLP Landscape

7 min read

2

Problem Solving By Search

6 chapters

1

Problem-Solving Agents & State Spaces

7 min read

2

Uninformed Search

7 min read

3

Informed Search & Heuristics

9 min read

4

Local Search

8 min read

5

Adversarial Search & Game Playing

9 min read

6

Constraint Satisfaction Problems

9 min read

3

Knowledge Reasoning And Planning

6 chapters

1

Knowledge Representation Basics

7 min read

2

Propositional Logic

8 min read

3

First-Order Logic

8 min read

4

Inference & Reasoning Systems

9 min read

5

Automated Planning

8 min read

6

Expert Systems & Rule-Based AI

8 min read

4

Reasoning Under Uncertainty

5 chapters

1

Probability for AI

7 min read

2

Bayesian Networks

9 min read

3

Naive Bayes & Probabilistic Inference

8 min read

4

Markov Chains & Hidden Markov Models

8 min read

5

Decision Theory & Utility

8 min read

5

Agents Multi Agent Systems And Rl

5 chapters

1

Agent Types Revisited

7 min read

2

Multi-Agent Systems & Game Theory

8 min read

3

Introduction to Reinforcement Learning

8 min read

4

Markov Decision Processes

8 min read

5

Q-Learning Fundamentals

9 min read

6

AI Ethics Safety And Society

5 chapters

1

Bias & Fairness in AI

8 min read

2

Explainable AI (XAI)

9 min read

3

Privacy & Security in AI Systems

9 min read

4

AI Safety & Alignment

8 min read

5

Regulation & Governance of AI

8 min read

7

Becoming An AI Practitioner

3 chapters

1

Career Paths in AI

6 min read

2

Capstone Project: A Puzzle-Solving Agent

9 min read

3

Mapping This Curriculum to ML, DL & NLP

4 min read