Artificial intelligence - Suresh Babu

Module list

1. Foundations & Python for AI

2. Machine Learning (Supervised & Unsupervised)

3. Model Evaluation & Feature Engineering

4. Deep Learning Fundamentals (Neural Networks)

5. Advanced DL: CNNs and Computer Vision

6. Advanced DL: RNNs, Transformers & NLP

7. Generative AI (GANs, Diffusion, LLMs for generation)

8. MLOps: CI/CD, Model deployment, Monitoring

9. Git & GitHub for Reproducible ML

10. Prompt Engineering & Responsible AI

11. Capstone project (proposal + implementation)

12. Capstone wrap-up, evaluation & presentation