From AI user to AI power user — work with AI as an autonomous colleague
Claude Code
Learn to use AI as a building block, not a chatbot.
300+ participants · 9.1 average score · Trusted by FedEx, Movir, BAM
Is this training for you?
You use AI daily but want to go beyond individual prompts and assistants
You want to deploy AI as an autonomous colleague that independently executes complex tasks
You are ready for the next step: from AI user to AI power user
What you get
After this training you can
- Deploy AI as an autonomous colleague for complex, multi-step tasks
- Build your own MCPs that connect AI to your work environment (email, CRM, databases)
- Build reusable skills that capture your expertise and make it scalable
- Work with AI agents
- Design multi-agent workflows
Return on investment
Multi-step tasks that take 4–6 hours manually run as automated workflows in 20 minutes after the training. On average 8–12 hours saved per week, depending on the use cases you build.
How it works
Intake & alignment
30-minute conversation about your context, processes and goals.
On-site training
Workshop with your own processes and data. No standard slides.
Practice assignments
Weekly challenges in your own work so it sticks.
Certificate & evaluation
Personal certificate and evaluation of your progress.
Programme
- Introduction to the agentic paradigm: from AI as assistant to AI as colleague
- Getting started with Claude Code tools
- Executing autonomous tasks with Claude Code
- Building reusable skills that capture your expertise
- How MCPs (Model Context Protocols) work and how to use them
- Connecting AI to your own tools: email, CRM, databases
- Understanding local vs. remote MCP architecture
- Building your own MCP from scratch
- Designing orchestrator + worker patterns
- Building a production-ready multi-agent workflow
- Scaling your expertise within your organisation
Frequently asked questions
For professionals who already use AI daily and want to take the next step. You work as a knowledge worker, consultant, developer or strategist and want to use AI as an autonomous colleague — not just as a writing or search assistant.
Some technical affinity is helpful, but not a hard requirement. The training is hands-on and practical — you build real workflows, not theoretical examples.
MCPs (Model Context Protocols) are the connections between AI and your own tools and data. With an MCP you give AI access to your email, CRM, calendar or database — so it can truly work autonomously in your context.
The other trainings focus on AI use in a specific role or function. Claude Code goes deeper: you learn to deploy AI as an autonomous agent, build workflows and connect AI to your own systems. Requires that you are already comfortable with AI tools.
Interested in this training?
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