Uploaded August 2026 | Updated September 2026, 2 weeks ago
Explore the LLM and Agentic AI Bootcamp curriculum, discover if it's the right fit for you, and get all your questions answered live.
This free information session is your chance to see exactly what both bootcamps cover before you commit — just a clear look at the curriculum, the outcomes, and whether this is the right next step for you.
- A walkthrough of the curriculum and structure for both programs — how each one is organized, week by week or day by day, and how they build on each other
- A look at what you'll actually build — a multi-agent application you construct from a bare model call up (memory, retrieval, MCP context, reasoning, guardrails), ending up live in your own GitHub and deployed to a URL you can share
- Who each bootcamp is designed for — beginners just getting into LLMs, data professionals looking to formalize their skills, engineers ready to go deeper on multi-agent orchestration, and product leaders who need to understand what's feasible without writing the code themselves
- Key learning outcomes — including agentic AI application design, the modern LLM stack (embeddings, vector search, RAG, MCP, fine-tuning), and how to evaluate and monitor what you ship
- How the hands-on format works — live instruction (not recordings), practitioner instructors who build these systems in production, sandbox/GPU access, and a Q&A built into every session
- Help figuring out which bootcamp fits you — based on your background, goals, and how much time you can commit
We'll also cover logistics — cohort dates, in-person vs. online options, and pricing — so you can leave with everything you need to decide with confidence.
Explore the LLM and Agentic AI Bootcamp curriculum, discover if it's the right fit for you, and get all your questions answered live.
This free information session is your chance to see exactly what both bootcamps cover before you commit — just a clear look at the curriculum, the outcomes, and whether this is the right next step for you.
- A walkthrough of the curriculum and structure for both programs — how each one is organized, week by week or day by day, and how they build on each other
- A look at what you'll actually build — a multi-agent application you construct from a bare model call up (memory, retrieval, MCP context, reasoning, guardrails), ending up live in your own GitHub and deployed to a URL you can share
- Who each bootcamp is designed for — beginners just getting into LLMs, data professionals looking to formalize their skills, engineers ready to go deeper on multi-agent orchestration, and product leaders who need to understand what's feasible without writing the code themselves
- Key learning outcomes — including agentic AI application design, the modern LLM stack (embeddings, vector search, RAG, MCP, fine-tuning), and how to evaluate and monitor what you ship
- How the hands-on format works — live instruction (not recordings), practitioner instructors who build these systems in production, sandbox/GPU access, and a Q&A built into every session
- Help figuring out which bootcamp fits you — based on your background, goals, and how much time you can commit
We'll also cover logistics — cohort dates, in-person vs. online options, and pricing — so you can leave with everything you need to decide with confidence.
