HANDS-ON AI training for teams

Learn AI by building with it

Practical, instructor-led AI trainings where every participant works on real exercises, with real tools and, where possible, your own use cases. Less theory, more doing.

Beginner to advanced On-site or live online Tailored to your team
Why hands-on

People keep what they build themselves

Every session is built around exercises, so your team leaves with working results, not just slides.

Learn by doing

Short explanations followed by guided labs that every participant completes on their own machine.

Your use cases

Exercises adapted to your industry, tools and workflows, using sample or sanitised data.

Small groups

Enough instructor time for real questions, with help when someone gets stuck.

Take-home materials

Lab guides, templates and code to keep using and sharing after the training.

Courses

Trainings for every level

Take a single course or combine several into a programme for your organisation.

Beginner

AI Foundations for Everyone

Any team, no technical background

What today's AI can and cannot do, how to use it safely at work, and where it saves time in your own role.

You will build

  • A personal prompt library for your daily tasks
  • A checklist for safe use of company data
  • Three time-saving workflows you can use the next morning
Beginner

Prompting and AI Productivity

Office, sales, marketing and operations teams

Practical prompting with the assistants your company already uses, from writing and summarising to analysis and research.

You will build

  • Reusable prompt templates for your team
  • A structured way to check AI answers
  • An assistant set up for one real task of yours
Intermediate

Building with LLM APIs

Software developers

Calling large language models from code: structured output, tool use, streaming, cost control and error handling.

You will build

  • A working API integration in your language
  • Tool calling against a sample internal system
  • Tests and evaluations for model output
Intermediate

AI on Your Own Documents (RAG)

Developers and data teams

Grounding answers in your documents with retrieval: chunking, embeddings, vector search, citations and quality checks.

You will build

  • A searchable knowledge assistant over sample documents
  • Answers with source citations
  • An evaluation set to measure answer quality
Advanced

AI Agents and Automation

Developers, IT and automation teams

Designing agents that plan, use tools and complete multi-step work, with guardrails, approvals and monitoring.

You will build

  • An agent that completes a multi-step business task
  • Human approval steps for risky actions
  • Logging and limits you can show to security
Intermediate

AI-Assisted Software Development

Developers and engineering leads

Working with AI coding assistants such as Claude Code and GitHub Copilot: planning, writing, testing and reviewing code with AI in the loop.

You will build

  • A feature built end to end with an AI assistant
  • Project rules that keep the assistant on track
  • A review routine for AI-written code
Leaders

Responsible AI, Security and Governance

IT, security, legal and compliance

The risks that matter in practice, from data leakage and prompt injection to bias, and the policies and controls that address them.

You will build

  • A draft AI use policy for your organisation
  • A risk register for your AI use cases
  • Controls mapped to your existing security practice
Leaders

AI Strategy for Leaders

Executives and managers

Finding the AI use cases worth funding, judging build versus buy, and planning a rollout people will actually adopt.

You will build

  • A ranked list of AI opportunities in your business
  • A simple business case template
  • A first 90-day rollout plan
Learning path

From first prompt to production agents

Start at any level. Each step builds on the one before.

Beginner

Start with confidence

  • AI Foundations for Everyone
  • Prompting and AI Productivity
01
02
Intermediate

Build real systems

  • Building with LLM APIs
  • AI on Your Own Documents (RAG)
  • AI-Assisted Software Development
Advanced

Automate the work

  • AI Agents and Automation
03
04
Leaders

Lead the change

  • Responsible AI, Security and Governance
  • AI Strategy for Leaders
Formats

Trained the way that suits you

On-site in New York

Our instructors come to your office in the New York area, or train at a venue you choose.

Live online

Interactive virtual classrooms with the same hands-on labs, for teams anywhere.

Private team programmes

A training path designed around your goals, combining courses and follow-up coaching.

How it works

From first call to confident team

Discover

We learn your goals, your team's experience and the tools you already use.

Tailor

We adapt the labs and examples to your industry and real use cases.

Train

Instructor-led, hands-on sessions where everyone builds as they learn.

Follow up

Materials to keep, and support as your team puts AI to work.

Questions

Training FAQ

Do participants need to know how to code?

Not for the beginner and leadership courses. The developer courses expect people who already write code in at least one language.

Which AI tools do you use?

We train on widely used assistants and model APIs, and we can focus on the tools your organisation has already approved.

Can the training use our own data?

Labs can be built around your use cases. We recommend sample or sanitised data, and we are happy to work under your confidentiality terms.

Can you train a whole department?

Yes. Larger groups are split into smaller hands-on cohorts so everyone gets instructor time.

Plan an AI training for your team

Tell us who you want to train and what they should be able to do afterwards. We will propose a programme that fits.