AI is changing work. Build the skills your next role will need.
Learn the foundations, build working systems, and develop the judgment to understand how AI works, where it fails, and how to use it well in technical and professional work.
What do you want to learn?
Build AI systems
Prepare for roles across AI products, customer delivery, model development, and production infrastructure.
Explore AI Engineering For non-engineering working professionalsApply AI in your profession
Use AI in supply chain, marketing, finance, recruitment, product management, or business operations.
Explore AI for ProfessionalsPrograms built around real work.
Engineering pathwayAI Engineer
Build production AI products end to end: LLM APIs, retrieval, agents and tool use, evaluation, guardrails, and deployment.
12 weeks · Next cohort 1 Aug 2026
AI Engineer
Build production AI products end to end: LLM APIs, retrieval, agents and tool use, evaluation, guardrails, and deployment.
12 weeks · Next cohort 1 Aug 2026A deployed AI product with retrieval, agents and tool use, evaluations, guardrails, and operational traces.
Follow the flow from the initial input through the core system to a measurable result.
Customer delivery pathwayForward Deployed Engineer
Turn unclear customer problems into integrated, measurable technical solutions.
Forward Deployed Engineer
Turn unclear customer problems into integrated, measurable technical solutions.
A customer-ready solution with integrated data, deployment evidence, and an adoption plan.
Follow the flow from the initial input through the core system to a measurable result.
Professional intensiveAI for Marketing & Content
Build a governed workflow for research, content production, review, publishing, and performance analysis.
AI for Marketing & Content
Build a governed workflow for research, content production, review, publishing, and performance analysis.
A governed content operation with reusable workflows, review controls, and performance reporting.
Follow the flow from the initial input through the core system to a measurable result.
Learn, practise, build, and improve.
Each week follows the same learning loop. You understand an idea, test it through practice, use it in a real deliverable, and improve the result after feedback.
- 01
Learn
Understand one idea through a focused lesson, a worked example, and the reasoning behind the approach.
You leave with a clear mental model, not a list of steps to copy. - 02
Practise
Apply the idea in a guided lab or problem where the constraints and failure cases are visible.
You find what you understand, what you missed, and where the approach breaks. - 03
Build
Use the concept in a working project or job-relevant deliverable with explicit acceptance criteria.
You produce evidence of skill that you can demonstrate and explain. - 04
Review and improve
Receive structured feedback on the result and your decisions, then revise the work before moving forward.
You strengthen both the solution and the judgment used to build it.
AI Engineer exampleSee how this learning loop develops one production AI project.
The architecture below is a course example, not the learning method itself.
See how this learning loop develops one production AI project.
The architecture below is a course example, not the learning method itself.
Build the product foundation
Create the interface and a typed application API so every later AI capability has a reliable product boundary.
- Learn
- Interface boundaries, API contracts, validation, and application state.
- Practise
- Trace a request from the interface through the API and back.
- Build
- A working product interface connected to a tested application API.
- Review
- Instructor review of the API contract, failure states, and code structure.
Free guides to help you understand how AI systems work.
Follow clear explanations and practical examples from the subjects taught in our programs.
How to build an AI answer that cites its sources
Learn how to find relevant information, generate an answer from that evidence, and check whether the response is properly supported.
Start reading