Choose a useful task
Map the people, information, decisions and friction in a real workflow before selecting a tool.
Founding cohort · Applications opening soon
Level 1B · Live online · Five weeks · Beginner to appliedChoose one real task, combine the right AI techniques with clear human checkpoints, and leave with a tested no-code or low-code workflow you can demonstrate.
You will learn where AI adds value inside a workflow, where it creates risk, and how to test whether the new way of working is genuinely better.
Map the people, information, decisions and friction in a real workflow before selecting a tool.
Use text, documents, data and visual inputs where each is appropriate instead of forcing one chatbot to do everything.
Design review, correction, privacy and escalation points into the workflow rather than adding them afterwards.
Compare the original and AI-assisted process using simple measures for quality, time, risk and usefulness.
Not confident with these yet? Start with AI Foundations and Prompt Engineering. No software-development experience is required for this course.
The cohort follows one practical project from use-case choice to working demonstration. Tool choices stay flexible so the process can fit your role and context.
Map a real task, its users, inputs, decisions, pain points and constraints. Define what better would look like before touching a tool.
You buildUse-case canvas and baseline workflow map
Use structured prompting, documents and reference material to support drafting, synthesis, comparison and decision preparation.
You buildPrompt chain and evidence-aware knowledge task
Explore how AI can help classify, extract, compare, visualise or transform information across documents, tables and images. Learn where specialist tools are safer.
You buildTested information-processing step
Connect the useful steps into a repeatable process with hand-offs, templates, review points, privacy boundaries and failure handling.
You buildWorking no-code or low-code workflow prototype
Run realistic cases, compare results with the original process and communicate what improved, what did not and what should happen next.
You buildEvidence pack, workflow guide and live demonstration
Redesign one task from your work, studies or community. The finished project shows not only what AI produced, but how the process works and where people remain accountable.
Quality · time · risk · usefulness
Technology, product value and business process are taught together so the project is feasible, useful and clear enough for other people to adopt.
Choosing workable tools, understanding data flow, and designing a practical process with privacy, reliability and scale in view.
Connecting the workflow to a meaningful user need, defining useful measures and turning a prototype into a credible value story.
Mapping the current process, clarifying requirements and placing human decisions, controls and acceptance criteria where they matter.
Practical patterns, examples and decision guidance across tools, workflow design and responsible use.
Templates and milestones help you move from an unclear idea to a working, reviewable process.
Get support with scope, tool choice, testing and the evidence behind your recommendations.
See how similar patterns work across roles and domains, and practise explaining your design clearly.
Not necessarily. If you already understand basic generative AI, can write structured prompts and routinely check outputs, you can start here. The pathway diagnostic will help you decide.
No. Projects can use common AI tools and no-code automation. Optional low-code routes are available for learners who want them, but software development is not a prerequisite.
This course redesigns a practical workflow and measures its usefulness. The developer cohort engineers a production-minded application using Python, APIs, RAG, agents, evaluation and deployment.
You can work with a safely abstracted version. The course covers data boundaries and helps you create representative examples without exposing confidential or personal information.
Dates and founding-cohort pricing are being finalised. Join the list to receive the schedule and early-access details first.
Join the founding-cohort list for dates, pricing and the project guide.
Join the founding cohort