4 courses found in catalog
A rigorous engineering curriculum designed to take you from foundational transformer mechanics to architecting and deploying production-grade Generative AI systems. Learn hands-on with live vector stores, structured outputs, and real-world evaluation frameworks.
Take the leap from passive LLM responses to proactive, autonomous agent systems. Learn how to give models tools, planning capabilities, short and long-term memory, and build multi-agent teams that coordinate to solve complex, multi-step engineering tasks.
Learn the exact mathematical concepts (linear algebra, calculus) and Python libraries (NumPy, Pandas, PyTorch) required to understand modern deep learning architectures.
Master low-latency Retrieval-Augmented Generation at scale. Learn hybrid search, dense/sparse embeddings, HNSW index optimization, and cross-encoder reranking.
Explore curated learning bundles from expert instructors. Browse to compare teaching styles, exams, and project scopes.
Includes vector databases, fine-tuning scripts, and automated evaluations.
Comprehensive evaluation simulator testing ReAct loops and routing schemas.
Earn verified credentials with final exam evaluation passing certifications.