What topics does the LLM Bootcamp cover?

Our LLM Bootcamp will cover the following topics:

• Foundations of LLMs, embeddings, vector databases, and semantic search

• Fine-tuning vs. RAG (Retrieval-Augmented Generation)

• Design patterns for enterprise LLM applications

• In-context learning and orchestration with LangChain

• Use cases, limitations, and scalability with semantic caching

• Challenges, trade-offs, and evaluation using benchmarks

• Guardrails, safety, and observability in production

You can review the course syllabus to see all the topics that will be covered during the bootcamp.