Lesson 1: Definition and History of Artificial Intelligence

Lesson 2: Major subfields of AI and their applications

Lesson 3: Ethical considerations and challenges in AI

Test 1

Lesson 4: Introduction to Machine Learning

Test 2

Lesson 5: Classification algorithms

Test 3

Lesson 6: Regression algorithms

Test 4

Lesson 7: Model evaluation and performance metrics

Lesson 8: Foundations of Natural Language Processing (NLP)

Lesson 9: Language modeling and text classification

Lesson 10: NLP Applications

Test 5

Lesson 14: Fundamentals of Neural Networks and Multi-Layer Perceptrons

Test 7

Lesson 15: CNNs and RNNs

Test 8

Lesson 16: Introduction to Search Algorithms and Uninformed Search

Lesson 17: Informed Search Algorithms and Heuristic Search

Lesson 18: Problem-Solving Strategies and Constraint Satisfaction Problems

Test 9