This comprehensive course introduces the fast-growing field of agentic artificial intelligence and teaches how to build powerful AI agents capable of performing complex automated tasks. Created by Nick Saraev, the course explores modern AI agent frameworks and practical workflows used to build automated systems powered by large language models.

You will learn the foundations of AI agent architecture and how agents interact with tools, workflows, and external systems. The course explains how modern agent platforms such as Claude Code, Codex, and Antigravity AI can be used to design autonomous systems that collaborate, reason, and execute tasks.

The training also focuses heavily on advanced prompt engineering techniques. Topics include self-modifying prompts, prompt contracts, reverse prompting, and context management strategies that allow agents to perform complex reasoning tasks efficiently.

In addition, the course explores multi-agent orchestration, where multiple AI agents collaborate through structured workflows, verification loops, and consensus systems. You will also learn how to build video-to-action pipelines, automate browser workflows, and optimize token usage to reduce costs.

By the end of the course, learners will understand both the theoretical concepts and the practical techniques needed to design scalable AI agent systems for automation, productivity, and AI-driven applications.