Career track · No-code AI Developer
Become a no-code AI developer: build working AI tools and automations without writing code.
You can now describe an app and get a working one, and connect AI to your business tools with a few blocks. Learn to build things people use, and to know when no-code stops being enough.
Or get your personal AI playbook nowWhat changes
Your work, re-mapped.
How AI is changing this work today, task by task. Your assessment maps it onto your own week.
Tasks AI can already do for you.
- Hand-coding simple apps and forms
- Copy-paste work between tools
- Building internal tools from scratch
- Basic chatbots with rigid scripts
Work that gets faster while you stay in charge.
- Prototyping product ideas
- Launching internal tools
- Automating client work
- Testing demand before hiring developers
What only you can do, and what's worth more now.
- Knowing which problem is worth solving
- Designing reliable workflows
- Owning data, security and quality
The curriculum
Ten modules.
One path through them.
Your assessment orders these for your level and goals and skips what you already know. Open any module to see what it covers.
01The no-code AI landscape5 topics
App builders, automation platforms and agent builders, and which to use when.
- Three categories of no-code AI
- What each is good and bad at
- Costs and credit systems
- Lock-in and code export
- Picking your first project
02How AI models work, for builders5 topics
Enough understanding to build reliable things.
- Prompts, context and tokens
- Why outputs vary
- Choosing a model
- Structured outputs
- Guarding against bad output
03Prompt-to-app builders5 topics
Build a working web app by describing it.
- Writing a good app brief
- Iterating without breaking things
- Databases and authentication
- Deploying and sharing
- Exporting your code
04Workflow automation5 topics
Connect AI to the tools a business runs on.
- Triggers and actions
- n8n, Make and Zapier compared
- Adding AI steps
- Webhooks and APIs without code
- Scheduling and monitoring
05Building AI agents without code5 topics
Agents that use tools and finish multi-step tasks.
- What makes something an agent
- Giving agents tools and knowledge
- Memory and context
- Human approval steps
- Testing agent behaviour
06Chatbots on your own knowledge5 topics
Assistants that answer from documents and websites.
- Uploading knowledge bases
- Retrieval basics
- Website and WhatsApp deployment
- Handing off to humans
- Measuring answer quality
07Data and backends5 topics
Store and use data properly.
- Spreadsheets vs databases
- Supabase and Airtable basics
- Data structure design
- Permissions and privacy
- Backups
08Reliability and quality5 topics
Make what you build work every time.
- Error handling in workflows
- Testing with real examples
- Logging and alerts
- Rate limits and costs
- Fixing breaking changes
09Selling no-code AI solutions5 topics
Turn skills into income: clients, products or a better job.
- Finding problems people pay for
- Scoping and pricing projects
- Templates and productised services
- Client handover and support
- Building a portfolio
10Capstone: ship a real tool5 topics
Build, launch and get users for one complete project.
- Choosing a capstone
- Building in public
- Getting first users
- Iterating on feedback
- Knowing when to bring in code
Outcomes
By the end, you can.
- 01Build and deploy a working AI web app without code
- 02Automate multi-step workflows with AI steps and approvals
- 03Launch a chatbot that answers from your own documents
- 04Package your skills into client work or a product
Tools and techniques you'll use
- Lovable
- Bolt
- Replit Agent
- v0
- n8n
- Make
- Zapier
- Supabase
- Dify
Who it's forNon-programmers, founders, operations people, freelancers and anyone who wants to build with AI.
The course is opening soon
Be first in.
Join the waitlist for the No-code AI Developer course. One email when it opens, nothing else.
Questions
Good to know.
Can you really build AI apps without coding?
Yes, for a wide range of tools: internal apps, prototypes, chatbots and automations. Complex or high-scale products eventually need engineers, and the course teaches you to recognise that point and export your work.
Which is better: n8n, Make or Zapier?
It depends on the job. Zapier is fastest for simple flows, Make handles complex visual logic and n8n adds self-hosting and more control. The course builds the same project in more than one so you can choose.
When does the course open?
The full course is being built now and opens to the waitlist first. Join with your email and we'll tell you as soon as it's ready.
How is the course personalised?
Before the course, a five-minute assessment, by text or by voice with Iris, our AI guide, learns your role, daily work, skills and goals. Your personal playbook then orders these modules for your level and goals and skips what you already know.
What can I do while I wait?
Take the assessment now. You get your personal AI playbook straight away, with the tasks in your work AI can take over, the ones it speeds up, and your learning path.