LLM Bootcamp Information Session

Why It Matters

Companies adopting LLMs need holistic training that addresses technical, operational and regulatory challenges to scale safely and cost-effectively—skills conventional model-focused courses often miss. Effective upskilling reduces deployment risk, long-term costs, and governance exposure as organizations move from pilots to production.

Summary

Rajbal, chief data scientist at Data Science Dojo, outlined the company’s LLM and Agentic AI boot camps and demonstrated how they use the Aento AI platform as a teaching tool. He emphasized that building enterprise LLM applications involves far more than wrapping frontier models—covering prompt brittleness and hallucination mitigation, latency, cost of inference, governance, compliance, scaling, legacy integration, deployment architectures, and state management. The boot camp combines hands-on technical training with operational and governance guidance to help teams avoid technical debt, control costs, and prepare pilots for production. It is designed for learners from beginners to advanced practitioners and stresses practical, enterprise-ready practices rather than toy examples.

Original Description

Explore the LLM Bootcamp curriculum, discover if it’s the right fit for you, and get all your questions answered live.

In this session, you’ll get a clear overview of:

- The full bootcamp curriculum and structure

- What you will build during the program

- Who this bootcamp is designed for (beginners, data professionals, and product leaders)

- Key learning outcomes, including agentic AI applications and the modern LLM stack

- How the learning experience works in a hands-on, practical format