AI at Work

Learn AI from people who run AI companies.

Training and internships built on real business problems, not slides. Taught together by a founder who operates AI companies between Paris and New Delhi, and an educator who has prepared more than 8,000 people for working life.

Clément Lacaille
Clément LacailleFounder of Tech-Bharat, partner at Takat AI
Anil Gupta
Anil GuptaFounder of Intervuwalla

The school is backed by the companies we run every day

  • Tech-BharatAI agency, Paris and New Delhi. 50+ AI systems in production.
  • Takat AIAI product company, run day to day by its own agents.
  • IntervuwallaEducation to employability, since 2006.

What happens to the people we train

A young developer I trained in New Delhi now earns around €2,000 a month, about ₹2 lakh, running AI systems for European and American clients.

Clément, about a developer on his own team. Several times the usual entry-level package for his profile.

Students I taught in France have gone on to launch their own companies.

Clément, director of AI programs for a French higher-education group

Others became the person their employer turns to for AI: the one who supervises the agents.

The second way out of our programs, next to founding a company

More than 8,000 students and professionals trained, coached and mentored, in 100+ institutions.

Anil, in 18 years of turning education into employment

We would rather you hear it from them. Our students write about the method on LinkedIn, in their own words.

Recommendations for ClémentRecommendations for Anil

Not prompts. A method any profession can apply.

Most AI courses teach this year's tool. Six months later the tool has changed and the course is worthless. We teach what lasts: the method we use with paying clients, on real company cases, from the first hour.

No exams. You are judged on what you shipped and what it changed.

  1. Diagnose

    Look at a real process, a mailbox, a sales pipeline, a reporting task, and find where the hours go. Measure before promising.

  2. Build

    Design an AI agent that does the job: tools, data, guardrails. A working proof in a day, not a slide deck.

  3. Supervise

    Run the system. Read its logs, catch its mistakes, improve it. This is the human role companies now pay for.

  4. Prove value

    Hours saved, revenue created, errors avoided, in numbers. Presented the way a manager needs to hear it.

Same method, your field

Every profession needs AI, and each needs it differently. Before a session we ask who is in the room, then bring real, anonymised systems from that field.

What the room watches running

An agent that reads invoices and bank statements, reconciles them and flags anomalies.

What each learner builds

Students build a monthly-report assistant.

A program for every age, from ten to a working adult

A child of twelve, an MBA student and a manager of forty do not dream of the same thing. Pick an age.

Makers

What they look forward to

Make a game with your own characters, a comic you directed, a talking helper for your grandmother. Discover that AI can be wrong, and that you are the one who checks.

What the school or employer gets

Children who come home with something they made, and parents who see it on demo day.

Where most start

AI Discovery Day, then a weekly AI Club

See the program for schools

Two founders, one classroom

Every session is co-led. Anil anchors it in careers and hiring. Clément brings the working AI. Learners get both the “why it matters for my job” and the “how I actually do it”.

Meet Clément and Anil

“I don't create agents, I operate them.”

Clément Lacaille

Tell us who you want to train.

Write a few lines about your students or your team. One of us replies personally.