1. Introduction to Deep Learning
2. Nuts and Bolts of AI with PyTorch
3. Introduction to Convolution Neural Network
4. Model Building with Custom Layers and PyTorch 2.0
5. Advances in Computer Vision: Transfer Learning and Object Detection
6. Advanced Object Detection and Segmentation
7. Mastering Object Detection with Detectron2
8. Introduction to RNNs and LSTMs
9. Understanding Text Processing and Generation in Machine Learning
10. Transformers Unleashed
11. Introduction to GANs: Building Blocks of Generative Models
12. Conditional GANs, Latent Spaces, and Diffusion Models
13. PyTorch 2.0: New Features, Efficient CUDA Usage, and Accelerated Model Training
14. Building Large Language Models from Scratch