ai curriculum · training
the ai curriculum,course by course.
251 courses and 29 instructor-led workshops covering ai across engineering, product, data, sales, finance, legal, hr, operations, leadership and risk. 700.5 contact hours in total. every course lists its level, its hours, the tools it uses, and the artefact you walk out with.
this is not a video library. courses are taught in a browser environment with guided practice. labs are graded on what you produce. workshops are run live by the practitioners who ship our consultancy and platforms work.
courses across 16 topics
contact hours of taught content
instructor-led workshops, 65 sessions
graded labs. you build, we mark
workshops
29 workshops, run live. 65 sessions, 223 contact hours. attendance is capped per run so everyone gets hands on the work. the session plans below are published minute by minute.
- 1 session3 hrs totalmax 40 people
AI Foundations Workshop
Learn what AI models can and cannot do, agree how company data may be used, and leave with a plan for the first tasks you will hand over.
forAll employees, no prior experience needed
- 2 sessions6 hrs totalmax 30 people
Prompt Engineering Intensive
Learn the prompting patterns that produce reliable results, then rebuild your team's real prompts into a shared library that anyone can use.
forAnyone who has completed AI foundations
- 3 sessions10.5 hrs totalmax 24 people
AI-Assisted Engineering Bootcamp
Learn to use AI coding assistants on your own codebase, from writing specifications to reviewing generated code, and agree the standards your team will work to.
forSoftware engineers at any level
- 1 session7 hrs totalmax 20 people
Build an AI Feature in a Day
Take a single AI feature from idea to a working, tested version in one day, including the test set and cost model that let you defend it.
forEngineers, with their product manager alongside
- 2 sessions8 hrs totalmax 20 people
Building RAG Systems
Learn to build a retrieval system over your own documents, then measure and improve its accuracy instead of guessing at it.
forEngineers working with company documents
- 3 sessions10.5 hrs totalmax 18 people
Agents and MCP Build Lab
Learn to build an AI agent that connects to your internal systems through MCP, with the permissions and monitoring needed to run it safely.
forEngineers building systems that take actions
- 2 sessions7 hrs totalmax 24 people
AI Evaluation Bootcamp
Learn to define what good means for an AI feature, build a test set from real cases, and wire it into your pipeline so quality cannot drop unnoticed.
forEngineers, product managers and data scientists
- 2 sessions8 hrs totalmax 16 people
AI Red Team Workshop
Learn to attack your own AI systems the way an adversary would, then write the findings up so that engineers can act on them.
forSecurity engineers, senior developers and architects
- 2 sessions7 hrs totalmax 18 people
AI Production Readiness
Learn to run AI systems in production, covering gateways, cost, latency, model changes and what to do when the system fails at scale.
forPlatform engineers, site reliability engineers and senior developers
- 3 sessions9 hrs totalmax 24 people
AI Product Management Intensive
Learn to select, specify and launch AI features when you cannot predict the output, including how to write requirements as measurable tests.
forProduct managers and product owners
- 2 sessions6 hrs totalmax 20 people
Designing AI Interfaces
Learn to design for uncertainty, showing confidence, handling errors and building trust in a product that is sometimes wrong.
forProduct designers, UX researchers and content designers
- 1 session4 hrs totalmax 14 people
AI Strategy for Executives
Review your organisation's AI initiatives, work through the buy, build or wait decisions, and commit to a small number of priorities with named owners.
forChief executives, functional heads and board members
- 2 sessions7 hrs totalmax 20 people
AI Governance Clinic
Build an inventory of the AI already running in your organisation, classify it by risk, and draft a policy that people will actually follow.
forRisk, compliance, legal, internal audit and security
- 3 sessions9 hrs totalmax 20 people
Claude Masterclass
Learn to work with Claude in depth, from setting up projects and using Claude Code through to building Agent Skills and MCP integrations.
forTeams standardising on Anthropic's tools
- 2 sessions6 hrs totalmax 20 people
Workflow Automation Lab
Learn to automate a real business process from start to finish using visual tools, with no coding required at any point.
forOperations staff, process owners and function leads
- 2 sessions7 hrs totalmax 24 people
AI for Data Analysts
Learn to move faster from question to answer using AI, while keeping the checks that stop an incorrect figure reaching a report.
forAnalysts, business intelligence teams and finance analysts
- 2 sessions6 hrs totalmax 30 people
AI for Revenue Teams
Learn to use AI across research, outreach, content and customer support, and agree as a team where the line on authenticity sits.
forSales, marketing and customer success teams
- 2 sessions6 hrs totalmax 24 people
AI for Finance and Legal
Learn to process contracts and financial documents with AI, keeping the control steps and audit trail your auditors will expect to see.
forFinance, financial planning, legal and contracting teams
- 2 sessions6 hrs totalmax 24 people
AI for HR and Recruiting
Learn to use AI across hiring, onboarding and employee support, and test your own workflow for bias before it goes anywhere near a candidate.
forHuman resources, talent acquisition and people teams
- 3 sessions10.5 hrs totalmax 20 people
AI-Native SDLC Design Workshop
Redesign how your team actually delivers software now that agents write most of the code, phase by phase, ending with a lifecycle your team has agreed to run.
forEngineering leads, principal engineers, QA and release owners
- 4 sessions14 hrs totalmax 18 people
Harness Engineering Bootcamp
Build the system your agents run inside, covering rule files, skills, hooks, sandboxes and the evaluations that tell you whether any of it is working.
forPlatform engineers and senior developers who own shared tooling
- 3 sessions10.5 hrs totalmax 16 people
Loop and Graph Engineering Lab
Build an agent loop by hand, then rebuild the same work as a graph with branching and parallel execution, and learn when each shape is the right one.
forEngineers building agent systems
- 2 sessions7 hrs totalmax 18 people
Agent Orchestration at Scale
Move from supervising one agent at a time to running many, covering the supervised chain, autonomous coordination, and the tooling that makes parallel work visible.
forSenior engineers and technical leads
- 3 sessions10.5 hrs totalmax 18 people
Cloud-Native DevSecOps Pipeline Lab
Build security into every stage of a delivery pipeline, from the developer's editor through to running containers, and measure what each stage actually catches.
forPlatform, DevOps and security engineers
- 2 sessions8 hrs totalmax 16 people
Kubernetes AI Security Workshop
Secure a real Kubernetes environment using behavioural baselines, generated network policies and admission control, without slowing down the teams deploying to it.
forPlatform and security engineers running Kubernetes
- 2 sessions6 hrs totalmax 16 people
AI Engineering Platform Kickstart
Set up the team and the shared tooling that everyone else builds on, covering the golden path, a safe place to experiment, and how adoption actually spreads.
forEngineering leadership and platform team leads
- 3 sessions10.5 hrs totalmax 18 people
Deep Learning Foundations Workshop
Build and train neural networks from first principles, covering images, sequences and the training problems that appear once models get larger.
forData scientists and machine learning engineers
- 2 sessions7 hrs totalmax 20 people
Warehouse-Native AI Workshop
Run generative AI next to your data instead of moving it, using the warehouse platform your organisation already pays for.
forData engineers, analytics engineers and BI teams
- 2 sessions6 hrs totalmax 24 people
AI Ethics and Responsible Use Clinic
Work through the ethical decisions your organisation is already facing, and leave with positions your teams can actually apply.
forAnyone making decisions about how AI is used
want a track built for your team?
tell us the team, the outcome and the calendar. we come back with a track drawn from this catalogue, the cohort dates, and the price.