Connect to real tools
Wire agents into business systems through APIs and the Model Context Protocol (MCP).
What you'll build
What you'll actually be able to do.
Combine with RAG & automation
Give agents knowledge and hands — retrieval for facts, automation for actions.
Orchestrate multi-agent teams
Coordinate multiple agents into agentic workflows that tackle bigger problems together.
Build a working agent
Design a single AI agent that plans, decides and acts on a real task.
- A multi-agent system where agents collaborate on a goal
- An agentic workflow integrated with external tools
- An agent project combining RAG, automation and tools
- A single AI agent that completes a real, multi-step task
- A custom MCP connection giving an agent real capabilities
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.
Why it sticks
Proof beats theory, every time.
Skills you only hear about fade in a week. Skills you build stay. At ONROL you spend the time making real AI systems that run, so your evidence of ability is the work itself — a portfolio an employer or client can actually open.
Recommended programs
Take the next step with ONROL.
AI Career Accelerator
A 21-day career-focused entry — practical AI skills, real projects and job readiness.
Explore program →AI Generalist
The 3-month flagship — build 5+ real AI systems and a portfolio, no coding required.
Explore program →AI Architect
The advanced track — AI architecture, agents, RAG and production-grade systems.
Explore program →Questions
No fluff, just answers.
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 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.
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 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.
Reserve your seat
Your seat's a form away.
Leave your details — we'll share the next cohort dates and answer anything on timing, format and what you'll build.
Request received.
Thank you — our team will reach out shortly with the next cohort details.