Building and Operating Large Language Models

Build LLM-First Systems: When to Prompt, RAG, Fine-Tune, or Deploy Agents
Learn what to use, when—and why It works

This course is specifically designed as a 1 day Bootcamp for Software Professionals (language agnostic). Although the course has a “for developers” focus, it’s relevant to everyone! No prior knowledge is required. A foundation in Python helps, but isn’t essential to benefit from the training.

We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or explore documentation for LLM model platforms and frameworks in the programming language of your choice and start developing your own customized LLM projects.

Learn to Use LLMs for Your Domain
Understand how these models work, how to compare them, how to interact with them, and when to use them. Get insights into “agents” (workflows), domain-specific projects with practical case studies to help choose the best solution for a given scenario (tailored to you).

Understand the Core LLM Developer Toolkit
Adopt customization, databases, retrieval, frameworks, fine-tuning, evaluations, and more into your daily workflows: the core skills needed to customize LLMs to specific industries and tasks and to improve reliability and usability.

Turn Your Ideas into AI-powered Products
Gain actionable insights, understand how to replicate this success in your own context, and develop the intuition for techniques like distillation, quantization, RLHF, and robust defenses against prompt-hacking to ensure reliable deployments.