| 1 | Introduction to Artificial Intelligence, Its History, and the Turing Test | [1] Pages 27-32, [2] Pages 2-3. |
| 2 | Types of Artificial Intelligence, Application Areas, and Architectures | [1] Pages 40-44, [2] Pages 17-34. |
| 3 | Knowledge Representation, Logic, and Reasoning Methods | [1] Pages 49-58. |
| 4 | Supervised Learning: Regression and Classification Algorithms | [1] Pages 59-62. |
| 5 | Unsupervised Learning: Clustering and Dimensionality Reduction | [1] Page 63. |
| 6 | Reinforcement Learning | [1] Pages 64-70. |
| 7 | Introduction to Deep Learning: Artificial Neural Networks (ANNs) and Activation Functions | [3] Pages 15-45. |
| 8 | Introduction to Deep Learning: Artificial Neural Networks (ANNs) and Activation Functions | [3] Pages 45-70. |
| 9 | Convolutional Neural Networks (CNNs) and Computer Vision Applications | [3] Pages 120-150. |
| 10 | Recurrent Neural Networks (RNNs) | [3] Pages 151-180. |
| 11 | Natural Language Processing (NLP) Technologies | [3] Pages 190-220. |
| 12 | Large Language Models (LLM), Generative Artificial Intelligence, and Their Applications | [3] Pages 300-330. |
| 13 | Artificial Intelligence Ethics, Security, Societal Impacts, and Artificial General Intelligence (AGI) Trends | [4] Pages 10-40. |
| 14 | Artificial Intelligence Project Development Life Cycle and Advanced Application Examples | [3] Pages 330-360. |