Build a working agent
Design a single AI agent that plans, decides and acts on a real task.
What you'll build
Real skills, real projects — not another slide deck.
Orchestrate multi-agent teams
Coordinate multiple agents into agentic workflows that tackle bigger problems together.
Connect to real tools
Wire agents into business systems through APIs and the Model Context Protocol (MCP).
Combine with RAG & automation
Give agents knowledge and hands — retrieval for facts, automation for actions.
- A single AI agent that completes a real, multi-step task
- A multi-agent system where agents collaborate on a goal
- An agentic workflow integrated with external tools
- A custom MCP connection giving an agent real capabilities
- An agent project combining RAG, automation and tools
Who it's for
The frontier skill everyone's hiring for
AI agents are the current frontier — systems that don't just respond but plan and act, calling tools, retrieving knowledge and coordinating with other agents. It's among the most valuable AI skills right now, and it builds directly on prompting, RAG and automation. This course takes you from a single agent to multi-agent systems and real tool integration through APIs and MCP.
It suits AI builders, developers, founders and technically-minded professionals who want to build genuinely capable AI. ONROL is project-first, so you finish with working agents, an agent team and an MCP integration in a portfolio you keep.
The ONROL method
Build the evidence. Keep the proof.
ONROL is an execution school, not a lecture hall. Every session you ship something real — an automation, an agent, an app — and you keep it. You don't leave with a certificate alone; you leave with a portfolio of working AI products that proves what you can do.
Questions
Straight answers.
What is an AI agents course?
It teaches you to build AI systems that take action — planning, using tools, retrieving knowledge and coordinating as multi-agent teams — rather than just answering questions. You build real agents, not theory.
What is MCP and why is it in the course?
MCP (Model Context Protocol) is the emerging standard for giving AI agents real capabilities and connections to tools and data. You build a custom MCP integration so your agents can actually do things.
What do I need before this course?
Comfort with prompting and basic AI concepts helps; retrieval and automation knowledge is a bonus. The course is low-code friendly, so you focus on designing capable agents rather than heavy programming.
What will I have to show?
Working single and multi-agent systems, an agentic workflow and an MCP integration — real, portfolio-ready projects demonstrating one of the most in-demand AI skills today.
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