1. Deploying over AWS: Train, Dockerize and then deploy your model on AWS

    2. MobileNet & Other Edge DNNs: Training a DNN for EDGE Deployment from scratch. Understanding MobileNets and ShuffleNets

    3. Face Recognition Part 1: Face Detection and Detection Strategies

    4. OpenCV Refresher and Face Recognition. Part 2: Implementing Object Tracking and Stabilization, OpenCV and DLIB, for face recognition and others

    5. Human Pose Estimation: State of Art HPE and Human Localization

    6. Super-Resolution/Neural-Style-Transfer: Leveraging Transfer learning for NST and "Dense" models

    7. Segmentation and Usage in Medical Domain: U-NET, its relatives and usage in Medical Science

    8. GANs: Generative Adversarial Network and Variants

    9. Encoders: Auto Encoders and Variational AutoEncoders

    10. Neural Work Embedding: The Embedding Layer

    11. Sequence Models: RNNs and LSTMs

    12. GRU, Attention Mechanism & Transformers: Attention is all you need!

    13. Image Captioning: Image Captioning - Integrating CNN + LSTMs

    14. Speech: Advanced Speech Processing (TTS/STT)

    14. CapStone Project: Hallowed be thy name