Most AI courses stop at prompting a chatbot. This one goes further and teaches you how to design, build, and ship real agentic systems, the kind that plan, use tools, coordinate with other agents, and know when to bring a human into the loop.
You start with the fundamentals: the observe, think, act loop that powers every modern agent, and how to turn any function into a reliable tool an LLM can call. From there you move into LangGraph, learning how to build stateful workflows with branching logic, checkpoints, and human in the loop review steps that pause a workflow for approval before it continues.
Next you move into multi-agent systems with CrewAI, where you learn to design specialized agents that collaborate on a single task instead of relying on one generalist model to do everything. You will explore sequential and hierarchical processes, tool sharing, and delegation between agents.
The course then covers the protocol layer that ties everything together. MCP for connecting agents to tools and data, and A2A for agent to agent communication and discovery, along with AG-UI for connecting agents to user facing interfaces. You will understand why these protocols exist, what problem each one solves, and how they fit together in a real system.
