For organizations · team training

AI and data training that changes how your teams work.

Live, private programs for every team, from one AI for Work Session for your leaders to engineering and data programs. Built on your team’s own work and measured person by person.

Taught live by industry experts from Mastercard and Paytm.

Talk to us about your team→See programs by team→
12+organizations trained
4,200+professionals trained

Learning for yourself? See our programs

Our learners work at

MicrosoftGoogleMetaamazonSwiggyAdobeGoldman SachsPayPalSamsungOracleIntuitFlipkartZomatoUberNetflixVisaATLASSIANPaytm
01Why SkilD

Most corporate training ends at the certificate. Ours ends at the work.

How a live SkilD program compares with the two usual choices.

Recorded course librariesOne-day lectureSkilD live programs
Built on your team’s own workUsually: same course for everyone, or same deck for every companyRecorded course libraries✕Same course for everyoneOne-day lecture✕Same deck for every companySkilD live programs✓Your tasks, data and repositories
Taught live by people who do the workUsually: recorded, or live, for one dayRecorded course libraries✕RecordedOne-day lecture◐Live, for one daySkilD live programs✓Industry experts, every week
Every person’s work reviewedUsually: auto-graded quizzes, or no work to reviewRecorded course libraries✕Auto-graded quizzesOne-day lecture✕No work to reviewSkilD live programs✓Each build, by name
Measured before and after, per personUsually: completion rates, or a feedback formRecorded course libraries◐Completion ratesOne-day lecture✕A feedback formSkilD live programs✓Checked at the start and the end
Help until the work is doneUsually: a help centre, or over when the day endsRecorded course libraries✕A help centreOne-day lecture✕Over when the day endsSkilD live programs✓Help in the batch chat, to the end
02Start here

Start with one session: AI for Work.

A live session for your leaders or a whole function. Your people each finish one task from their own job with AI.

Who
Your leadership team, your managers, or a whole function
Format
A seminar at your office, or a live webinar
Length
2 to 3 hours
You leave with
A written shortlist of tasks where AI saves your team hours, ranked
Book an AI for Work Session→

Teams that want more continue with AI at Work.

Session agendaAI for Work · 2 hours 45 minutes
  1. 0:00
    Where AI saves hours in your functionShown live, on tasks your team sent us before the session.
  2. 0:45
    Hands on: one task eachEvery person finishes one piece of their day’s work with an AI tool.
  3. 1:45
    Safe useWhat never goes into a public AI tool, and how to check an answer before it is used.
  4. 2:15
    Your shortlistThe tasks worth automating first, ranked by the hours they free.
03Programs by team

The right program for every team.

The whole company

AI at Work

Each person maps their own week, builds a no-code tool and an automation, and puts them to work.

Length8 weeks · 54 live hours · no code
Best forBusiness development, HR, finance, operations and support teams
They finish withOne task per person, timed before and after.
Managers and function leads

AI at Work, with the PG Program · AI Generalist & Agentic AI (No-Code) for one lead

The team takes AI at Work; one lead goes deeper and owns the rollout.

Length22 weeks for the lead · no code
Best forDepartment heads who will own AI in their function
They finish withA rollout plan, a usage policy and a business case for one process.
Analysts

Data Engineering Fundamentals, or AI Engineer Fundamentals

On the problems your analysts already work on, with your data.

Length8 weeks · 48 or 60 live hours
Best forFinance, business and reporting analysts
They finish withSQL, Python and a first pipeline or model, on the team’s own work.
Software engineers

AI-Assisted Development, then AI Agents & AgentOps

Inside the team’s own repositories, with the tools they will keep using.

Length12 weeks · 50 live hours
Best forProduct and platform engineering teams
They finish withCursor, Copilot and Claude Code in daily use, and an agent that runs one business task.
Data and platform teams

PG Program in Data Engineering

With the pipelines built around your stack.

Length34 weeks · days agreed with you
Best forData, BI and platform teams
They finish withPipelines built and run, tested and costed.
ML and AI teams

PG Program · AI Engineer: ML, GenAI & Agentic AI

From model to monitored service.

Length34 weeks · days agreed with you
Best forData science and ML teams
They finish withModels and LLM applications shipped as monitored services.
One person

A sponsored seat

One seat in a public cohort of a PG Program, paid by the company.

LengthAs the cohort runs
Best forOne employee you want to grow into a role
They finish withThe same program, certificate and end-to-end project as every learner.

Not sure which fits your team? Talk to us →

04How it runs

From the first call to the final test.

  1. 01Scoping call30 minutes. We learn who needs training, the tools they use and what should change.
  2. 02A written planWithin one working day of the call.
  3. 03AI for Work SessionFor leaders or a whole function, before the wider program.
  4. 04Live programWeekly live classes on your team’s work.
  5. 05Final test and reportA final test for each person, then one report per person for the manager.
Your written plan states
  • Who is trained, and where each person starts
  • The program, the live hours and the dates
  • Where it runs, and in which language
  • How progress is measured, and what the manager receives
  • The fee, GST included, and the payment terms
05Case study

How a fintech’s analytics team stopped building month-end reports by hand.

A fintech company180 employees
AI for Work Session · 40 managers and leadsData Engineering Fundamentals · 14 analysts · 8 weeksHindi and English
6 → 2daysto close the month-end reports
14 of 14analysts passed the final test
11pipelines in daily use
Before

Numbers copied by hand between 30 spreadsheets at every month-end.

After

The reports load every morning, from pipelines the analysts built in class.

Arjun Malhotra
“The analysts own the pipelines now. When one breaks, they fix it before I hear about it.”
Arjun MalhotraHead of Finance Analytics
06What you receive

A skills report for every person, not an attendance sheet.

  • Before day oneA skill check for every person, so the program starts where your team is.
  • Every weekWe review each build against standards shared in advance, with written feedback.
  • At the endA final test, and a line on what each person can now do on the job.
07Who teaches your team

Your team learns from people with years of this work behind them.

The same industry experts who teach our public cohorts, live with your team.

Dipandhu Shekhar
Dipandhu ShekharMastercardManager, Data Engineering · 14 years

At work: Ran the migration of a card-payments reporting pipeline to AWS.

Big data and ETLAWS
Devesh Pandey
Devesh PandeyPaytmSenior Tech Lead · 11 years

At work: Shipped a fraud-scoring model that screens transactions as they happen.

Machine learningGenAI and LLM apps
Amit Mishra
Amit MishraLead Data Engineering Trainer · 15 years

At work: Built the Spark and Kafka training labs used across corporate cohorts.

Big data platformsCloud
Ashok Padmanabhan
Ashok PadmanabhanCorporate Consultant and Trainer · 20 years

At work: Designed the data warehouse behind a retail chain’s daily sales reporting.

ETL designData architecture

Meet the SkilD faculty →

08In the room

Inside a SkilD company batch.

AI for Work Session, at a client’s office
AI for Work Session, at a client’s office
Live class, private batch
Live class, private batch
Batch photo after the final test
Batch photo after the final test
09In their words

What the people who buy the training say.

“The leadership session turned into a written plan the same week. Every batch after it ran on our own tickets and documents.”
Ananya RaoHead of Learning and Development, an IT services company
“Our developers use Cursor and Claude Code every day now, and every agent they built was reviewed before it went anywhere near production.”
Vikram SethiVP Engineering, a SaaS company
“Classes in Hindi made the difference for our plant supervisors, and the help stayed on until the last test.”
Meera IyerHR Director, a manufacturing group
10After you say yes

What happens once your plan is approved.

Paperwork

Supplier registration
We fill in your supplier forms and work to your purchase order.
NDA
If you need one, signed before we see any process, document or code.
Invoices
In your company’s name, on the payment terms in your plan.

Set-up

Kick-off call
Your L&D lead and our program advisor confirm the batch list, the dates and the language.
Your data
Classes use masked or sample data until your team approves its own.
Joining details
Class links and the batch chat reach every person a week before the first class.
11Asked, answered

Corporate AI training: your questions, answered.

What is corporate AI training?

Training that teaches employees to use AI, data and automation on their own work, run as a program for one company. At SkilD it is live, as a private batch for your team.

Which corporate training program should our team start with?

Most companies begin with the AI for Work Session for leaders, then AI at Work for all staff, and a technical program for engineering and data teams. The scoping call settles which fits.

Can you run AI training for non-technical employees?

Yes, and it is what companies ask for most. AI at Work needs no code at any point.

How much does corporate AI training cost?

We quote each plan per batch after the scoping call. The quote depends on the program, the group and how much material we build on your systems.

Can corporate AI training use the tools we already have?

Yes. Exercises run in the tools your company already uses and approves, such as Microsoft 365, Google Workspace, your cloud or your code repositories.

When do corporate training classes happen?

We agree the class days and times with you before the first class, on weekdays or weekends, around the team’s work. We share a replay of every class within 24 hours for anyone who misses one.

12Talk to us

Let’s plan your team’s program.

Tell us who needs training and what should change.

Rather call or message?

A program advisor reads it and replies to you directly.