CORE :: 2h 30m
Generative AI Architecture
Understand the high-level architecture of LLMs, Diffusion models, and the transformer block.
CORE :: 1h 45m
Prompt Engineering
Master the art of communicating with large language models efficiently.
CORE :: 4h 00m
Backpropagation Math
Deep dive into the calculus that powers gradient descent.
PRACTICAL :: 3h 15m
Pytorch Fundamentals
Learn the tensor operations and autograd mechanics in PyTorch.
CORE :: 2h 30m
Attention Mechanisms
Self-attention, multi-head attention, and positional encoding explained.
CORE :: 3h 00m
RAG Systems
Retrieval Augmented Generation architecture and implementation.
ELECTIVE :: 1h 30m
Vector Databases
Storing and querying high-dimensional embeddings efficiently.