Practical Python Artificial Intelligence Programming

course_overview

Artificial Intelligence programming with Python. Covers both theory and practical examples of LLMs, deep learning, symbolic AI, and Knowledge Representation

count_chapters
begin_reading
download
p_implied_book_part_name

Practical Python Artificial Intelligence Programming23 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Python Development Environment

  4. Part 1 - Machine Learning

  5. “Classic” Machine Learning

  6. Regression and Clustering

  7. Exploratory Data Analysis and Feature Engineering

  8. Part 2 - Deep Learning

  9. The Basics of Deep Learning

  10. Natural Language Processing Using Deep Learning

  11. Part IV - Overviews of Image Generation, Reinforcement Learning, and Recommendation Systems

  12. Overview of Image Generation

  13. Overview of Reinforcement Learning (Optional Material)

  14. Overview of Recommendation Systems (Optional Material)

  15. Part 3 - Large Language Models

  16. Introduction to Transformers and Large Language Models

  17. LLMs with Public APIs

  18. LLMs with Local Models

  19. Part 4 - Symbolic AI and Knowledge Representation

  20. Symbolic AI

  21. Part 5 - Knowledge Representation

  22. Getting Setup To Use Graph and Relational Databases

  23. Optional Material: A Deeper Dive Into Semantic Web and Linked Data