Claude Code for non-engineers
Despite the "code" in its name, Claude Code is perhaps the most popular agentic AI system right now. Understanding and using it gives you a glimpse into what's coming the coming months and years in terms of agents. And it can be incredibly useful for non-coding tasks.
What will we discuss?
- Why Claude Code is worth getting to know, even if you're not an engineer
- Getting started: installing Claude Code on your laptop
- An example of doing data analysis with Claude Code, based on Anthropic's user research data
- Learning some Claude Code commands
- Trying out Google's AntiGravity editor instead of Claude Code.
Who is this for?
- Anyone who is not an engineer, who wants a step by step introduction to using Claude Code
- We will do data analysis with some user data from Anthropic, so it can be especially interesting for UX researchers
Claude Code for non-engineers
- All 8 videos in this series
- Prompts, templates and resources from each episode
- Watch at your own pace, on any device
- Full access to every other course on model context experience
Full access to all courses, $79/m after the trial. Cancel anytime.
What you'll learn
- How to set up and use Claude Code without writing code
- Using an agent for information architecture work
- Applying Claude Code to common UX research tasks
- How multi-agents and subagents work, with a real example
- What the UX of agents looks like beyond the terminal
Learn from Peter
Peter Van Dijck
Peter has been building AI products since 2023 and teaching teams how to build them since 2024. He has spent that time in the trenches with evals, observability, synthetic data and context engineering, and turns what actually works into practical, no-fluff lessons.
Every episode is taught by Peter himself, in plain language, for product managers, designers, researchers and strategists who need to understand how AI systems are really built, without needing to be an engineer.
Peter on LinkedInWho this is for
UX designers
You want to see what an agent can do for IA, flows and prototypes, hands-on.
UX researchers
You want to try agents on synthesis, coding interviews and other research chores.
Curious non-engineers
You want a glimpse of where agents are heading, without needing to code.
What's included
- All 8 videos in this series
- Prompts, templates and resources from each episode
- Watch at your own pace, on any device
- Full access to every other course on model context experience
- Worked examples for information architecture and research tasks
What participants say
“This is opening up all sorts of new neural pathways for me to see under the hood more of how the sausage is made! 🙏”
“Very timely at my enterprise software company as evaluation of AI features scales.”
“Everything I know about evals is from Peter's talk, which is why I'm back to find out more!”
The videos
1. Getting started with Claude Code, for non-engineers
Why should I try out Claude Code
I'm not an engineer, I don't write code, what can I learn from playing around with Claude Code?
Let's install Claude Code
And learn a few tricks along the way.
First Steps with Claude Code
Let's dive in and start creating.
We'll build a data analysis website
We'll take some really interesting data on the US supreme court hearings, and build a website to explore this data with Claude Code.
A clean redesign and slash commands
Let's redesign the search we built to be clean and minimalistic. Also, what are slash commands?
2. Gemini 3 and the Antigravity editor
From Claude Code to the Antigravity editor
We'll move from the command line, taking the app we built with Claude Code, and try out Google's Antigravity editor.
Can we build a chatbot on this data?
Let's try something harder - can we build a chatbot on top of this data? And get familiar with Google's Antigravity editor along the way.
Wrapping up our Antigravity experiment
Let's wrap up and review some lessons learnt.
Also included
Your subscription unlocks every course on model context experience.
AI 101
Build a deeper understanding of AI. Why do models have a personality? What is context engineering?
Course details →Evals 101
How do we know if our AI systems are working well? *The* key skill for UX researchers and product people.
Course details →Project Planning for AI
If AI is different, and AI projects are different, how do we plan projects for AI? What are the roles and tracks we should consider? What are some common gotchas?
Course details →Designing with Claude
A hands-on walkthrough of Claude Design — Anthropic's tool that creates real, code-based designs. Set up a design system, generate and refine a landing page, and see where designing-by-code shines: interactive, animated, production-quality design with a design-to-engineering handoff measured in minutes.
Course details →Evals for agents
How do you build evaluations for agents? Model capabilities are evolving fast, user expectations are shifting, and both inputs and outputs are highly variable. This series walks through how to think about agent evals — from the kinds of agents you might be building, to identifying risk, defining quality, and combining qualitative research with metrics.
Course details →Content Strategy for LLMs
Content strategy is changing now that LLMs are reading, writing, and rewriting most of what we publish. This series is a practical walkthrough for content folks: setting up the right tools, structuring content as markdown, defining tone of voice and microcopy in ways an LLM can actually follow, and evaluating what comes out the other end.
Course details →