Weeks 1-5: State-of-the-art Deep Learning
- Topic 1: Convolutional Neural Networks
- Topic 2: Generative AI - Stable diffusion, variational autoencoders
- Topic 3: Transformers - Architecture, variants
Week 6-8: Developing with LLM's
- Topic 1: Prompt Engineering
- Topic 2: LLM Application development
- Topic 3: Vector Databases
- Topic 4: OpenAI, Llama and Langchain
Week 9-12: Assorted topics in Modern ML
- Topic 1: Causal Inference
- Topic 2: Time Series Analysis
- Topic 3: Reinforcement Learning