LLM Agents Workflow Course by Unity Zone Zero team. Each module builds upon previous concepts to provide a comprehensive learning path.
Learn the fundamentals of writing effective prompts that produce reliable, consistent results from LLMs. This module covers prompt engineering patterns, common pitfalls, and practical techniques for getting predictable outputs.
Master context window management, token economics, and optimization strategies. Understand how efficiently to manage LLM context, control costs, and prevent context pollution in long conversations and complex tasks.
Practical guide to using Claude Code CLI, sub-agent orchestration, and advanced workflows. Learn to install, configure, and effectively use Claude Code for development tasks with hands-on examples.
Introduction to fundamental agent patterns and simple implementation strategies. Understand the basics of agent design, state management, error handling, and how to build your first functional agents.
In-depth analysis of production-ready agent architectures with performance comparisons. Explore advanced patterns like ReAct, Self-Ask, Tree of Thoughts, and comprehensive benchmarking results.
We recommend following the modules in order: