LLM Agents Workflow Course

Public course materials about LLM agents by Unity Zone Zero team

Motivation

My name is Vasilisa Versus, and I love learning - and learning is more fun together! With my friends (Unity Zone Zero team), we collect interesting things about development using advanced pipelines. Of course, we learn by building LLM services. Everything is developing and changing very quickly, and all materials here are rather our drafts and notes that we will organize as we have time and energy. Join us all on GitHub

Materials

01. Prompt Engineering Fundamentals

Learn how LLMs work and master effective prompt writing techniques for reliable, consistent results with practical examples.

02. Context Management

Master context window optimization, token economics, and cost control strategies for efficient LLM interactions.

03. Claude Code CLI & Sub-agents

Practical guide to using Claude Code CLI, sub-agent orchestration, and advanced development workflows with real examples.

04. Basic Agent Patterns 🚧 IN DEVELOPMENT

Introduction to fundamental agent patterns including Chain of Thought, tools integration, RAG basics, and building your first agent.

B1. Advanced Agent Implementation 🚧 ADVANCED! OUTLINER

Build production-ready agent systems with advanced error handling, recovery mechanisms, and performance optimization techniques. PDF Version: Download the complete analysis (PDF)

C1. Quint Formal Protocol 🚧 ADVANCED! UNDER DEVELOPMENT

Warning: This is advanced, research-level content still under development. The Quint Formal Protocol (FPF) provides a rigorous mathematical framework for agent verification using formal methods and proof techniques. Recommended only for researchers and advanced practitioners.

Usage Rights

This course is released under the Unlicense, meaning:

  • Free to use - No cost or licensing restrictions
  • Free to modify - Adapt the content for your needs
  • Free to distribute - Share with others
  • Commercial use allowed - Use in professional projects
  • No attribution required - Though appreciated!

Community

This course is actively maintained and improved by the Unity Zone Zero team. Contributions, feedback, and suggestions are welcome!

Acknowledgments 🙏

  • Sergei Parfenov - Agent architecture analysis and comparative testing