AI strategy & governance

AI training programs

Hands-on programmes that take non-technical teams from wary to fluent — using your own workflows as the training material.

What do AI training programs cover?

Programmes range from AI fundamentals for non-technical staff through to advanced implementation for developers — covering generative AI, large language models, NLP, computer vision, prompt design, ethical use and deployment. Sessions are hands-on and built around participants' actual work rather than generic examples.

Adoption is a training problem

Organisations buy AI tools and then discover usage sits at fifteen percent. The tool was fine; nobody was taught to trust it, when to check it, or how to phrase a request that produces something useful. Training closes that gap faster and cheaper than any additional technology.

We run sessions against your real workflows — the actual reports, emails and documents people handle — because generic exercises produce enthusiasm in the room and no change at the desk.

Process

How we deliver it

1Assess the audienceCurrent fluency, roles andthe workflows that matter tothem.2Design the curriculumBuilt around your tools andyour real material.3Deliver hands-onWorking sessions, notlectures; participants buildsomething.4Set practicalassignmentsApplied to live work betweensessions.5Measure adoptionUsage and workflow change atfour and twelve weeks.
Process flow for AI training programs
  1. 01

    Assess the audience

    Current fluency, roles and the workflows that matter to them.

  2. 02

    Design the curriculum

    Built around your tools and your real material.

  3. 03

    Deliver hands-on

    Working sessions, not lectures; participants build something.

  4. 04

    Set practical assignments

    Applied to live work between sessions.

  5. 05

    Measure adoption

    Usage and workflow change at four and twelve weeks.

Deliverables

What you receive

  • A tailored curriculum with your workflows as the material
  • Live sessions, in person or remote, with recordings
  • Reference materials, prompt libraries and internal guidelines
  • Practical assignments applied to real work
  • Adoption measurement and a follow-up session

Engagement shape

Half-day workshops through to multi-week programmes. Priced per cohort, delivered in English, Hindi or Marathi.

Tooling

What we typically build with

  • Anthropic Claude
  • ChatGPT
  • Microsoft Copilot
  • Python for technical tracks
  • Prompt design
  • Ethical AI frameworks

Stack decisions follow the problem. This is where we usually start, not a fixed menu.

Frequently asked

Questions we get about this

Our team is sceptical about AI. Is training worth it?

Scepticism is a better starting point than uncritical enthusiasm — sceptical teams check outputs, which is exactly the habit you want. Sessions work best when they include where these tools fail, not only where they impress.

Can you train in Hindi or Marathi?

Yes. Sessions are delivered in English, Hindi or Marathi, which matters for operations and field teams where English-only training reduces comprehension and adoption.

Talk it through before you commit

A discovery call is a working session on your constraint, not a sales pitch.

Quick inquiry

Tell us what you're trying to build

A short note is enough. You'll hear back from the team, not a bot — usually within one working day.

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