Table of Contents

1. Introducing Artificial Intelligence and Machine Learning
2. Machine Learning Fundamentals
3. TensorFlow Essentials
4. Engineering for Machine Learning
5. Machine Learning Algorithms
6. Implementing First ML Models
7. Computer Vision
8. Natural Language Processing
9. Sequence Modelling and Transformers
10. MLOps and Deployment
11. Model Serving and Scalability
12. Model Deployment for Mobile
13. Summary, Future, and Resources