Powai · Vikhroli · Kanjurmarg

Generative AI training in Powai for GCCs and tech teams

Generative AI training in Powai for global capability centres, engineering teams and start-ups, with a business track for operations and the head offices of Vikhroli.

Get a training proposal →WhatsApp Hitesh

Hands-on
sessions
Built on your
real work
On-site across
Mumbai & MMR

★ Most requested

✳

Claude for corporate teams

Projects, Skills and Cowork on your own files

Long documents, done right
Hands-on, on real work

Summarise this contract

Compare two drafts

Build a client note

★ Most requested

Copilot & Copilot Studio

Outlook, Word, Excel, Teams and agents

Built on your Microsoft 365
On-site or virtual

Recap this meeting

Analyse sales data

Build an agent

● For every employee

GCo✦✳

AI for everyday productivity

ChatGPT, Copilot, Gemini and Claude

Prompting, research, writing
Safe-use rules for your data

Draft an email

Research a market

Prepare a deck

Claude Code · CodexAgents · MCPGCC policy-ready

Tell me about your Powai team, your stack and the tools you are allowed to use

Your information is safe, we don’t spam or send emails unless necessary

Teams at these organisations have trained with Hitesh

Tata MotorsRelianceAdani GroupMahindraKotakHULFlipkartHitachiHPESiemensSamsungMarks & SpencerThyssenKruppGodrejTata MotorsRelianceAdani GroupMahindraKotakHULFlipkartHitachiHPESiemensSamsungMarks & SpencerThyssenKruppGodrej

MicrosoftGooglePfizerTata Tele ServicesCNH IndustrialSony PicturesLGTimes of IndiaAl GhurairLandmark GroupTransworld GroupHPMorning StarCapitaLandMicrosoftGooglePfizerTata Tele ServicesCNH IndustrialSony PicturesLGTimes of IndiaAl GhurairLandmark GroupTransworld GroupHPMorning StarCapitaLand

Why Powai is different

Builders, not just users

In most of Mumbai, generative AI training is about using AI tools well. In Powai, many teams also build with AI: they write code with AI coding tools, design agents, ship features on top of large language models, or run AI programmes for a parent company abroad.

Global capability centres here often work under their parent company's tool approvals and security rules, which can differ from what Indian teams expect. Start-ups move the other way: fast, with few rules and a small budget. Both need practical depth: how to get reliable output, how to evaluate it, and how to keep code and data safe.

Teams I usually train here

Product engineering and platform teams
Data science and ML engineering
GCC operations and shared services
Start-up founders and early teams
Product managers and designers
Manufacturing and FMCG head office teams (Vikhroli)

Lead tracks

A technical track and a business track

Track A: engineers, data and product teams

AI coding with Claude Code and Codex on your own repositories
Building agents with tool use, MCP servers and the Claude and OpenAI APIs
Retrieval and knowledge assistants on internal documentation
Evaluation: test sets, tracing, failure analysis and cost control
Security: secrets, prompt injection and permissions for AI tools
Product thinking: where an LLM feature helps users and where it doesn't

See Claude Code training and agentic AI training in Mumbai for the full programmes.

Track B: GCC operations and business teams

Microsoft 365 Copilot or ChatGPT Enterprise for reporting, email and meetings
Process documentation, SOPs and knowledge articles drafted from recordings and notes
Finance and HR shared services: reconciliations, queries and policy answers
Working within the parent company's AI policy and approved tools
No-code agents for repetitive requests
Measuring hours saved in a way the parent company will accept

Usual format: one day per function, then clinics.

Powai use cases

What changes for teams around the lake

Product engineering

Today

Routine tickets, tests and refactors take time away from harder work.

With AI

Engineers hand well-scoped tickets to an AI coding tool and spend their time on design and review.

Data and ML teams

Today

Prototype notebooks take weeks to turn into maintainable pipelines.

With AI

AI drafts the pipeline code and tests; engineers review, harden and own it.

GCC service desks

Today

Knowledge articles fall out of date and the same questions come back every week.

With AI

An internal assistant answers from current articles and flags gaps for the knowledge team.

Start-up founders

Today

A small team writes investor updates, sales decks, docs and code all at once.

With AI

One shared AI workflow for writing, research and code, set up in a single session.

Manufacturing head offices (Vikhroli)

Today

Plant reports, supplier communication and SOPs are compiled by hand.

With AI

Reports and SOP drafts come from source files in a fixed format, checked by the plant team.

Product management

Today

PRDs, user research notes and release notes are written separately and drift apart.

With AI

AI turns research notes into a first PRD and keeps release notes consistent with it.

The curriculum

Eight modules, from fluent use to building

Track A takes modules 1, 2 and 4 to 8. Track B takes modules 1 to 3 and 7 to 8, plus function labs.

MODULE 01

How models really behave

Context windows, reasoning modes, tool use and why the same prompt gives different answers.

MODULE 02

Prompting and context engineering

Instructions, examples, structured output, and giving models the right context, not all of it.

MODULE 03

AI at work for business teams

Reports, email, meetings and documentation with the approved enterprise tools.

MODULE 04

AI coding in practice

Claude Code and Codex on real repositories: planning, testing and reviewable changes.

MODULE 05

Agents and MCP

Tool use, Model Context Protocol servers, and connecting agents to internal systems safely.

MODULE 06

Retrieval and knowledge assistants

Grounding answers in your documentation, and measuring whether they are right.

MODULE 07

Evaluation and cost

Test sets, tracing, failure analysis and keeping usage costs predictable.

MODULE 08

Security and governance

Secrets, data rules, prompt injection, parent-company policy and the DPDP Act.

How a programme runs

Short, technical and on your own work

Week 0

Scoping

Teams, stacks, approved tools and security rules, including the parent company's.

Week 0

Material

A repository, tickets and documents you are happy to use.

Day 1

Workshop

Hands-on build for Track A, function labs for Track B.

Week 1-4

Clinics

Short weekly sessions on real work as teams adopt the tools.

Week 4

Showcase

Each team shows one thing it built or changed.

Day 30

Review

Cycle time, review load and adoption, and what to adjust.

Formats

ONE DAY

Team workshop

One track, on-site in Powai or Vikhroli.

TWO DAYS

Technical bootcamp

Track A in depth, with a capstone build.

FOUR WEEKS

Adoption programme

Workshop plus weekly clinics.

ONLINE

Global teams

For teams split between Powai and the parent company abroad.

Most sessions run at the client's own office in the Hiranandani area, Vikhroli or Kanjurmarg. The Jogeshwari-Vikhroli Link Road connects Powai to Andheri and the western suburbs, so mixed teams from both sides of the city can meet here without crossing South Mumbai.

Vikhroli and Kanjurmarg

Manufacturing and consumer-goods head offices next door

A few minutes south of Powai, Vikhroli and Kanjurmarg have a different profile. The Godrej campus in Vikhroli and the office buildings along the Eastern Express Highway and LBS Marg house manufacturing, engineering and consumer-goods head offices, along with the finance, supply chain, HR and marketing teams that support plants across India.

These teams are rarely building AI products. They need fluent, safe use of the tools their company has approved: summarising plant and supplier reports, drafting SOPs and quality documents, preparing sales and distributor communication, and building simple assistants on internal policies. They take the business track, with exercises built on manufacturing documents.

Typical Vikhroli exercises

Monthly plant and quality report summaries
SOP and work instruction drafts from recordings
Supplier and distributor emails in a standard format
Tender and RFQ comparison tables
An assistant on HR and travel policies

Hitesh Motwani, corporate AI trainer in Mumbai

🏢600+ companies trained📖Author, Generative AI 360°

Meet your trainer

Hitesh Motwani

Corporate AI trainer · Founder, Skillopedia · Mumbai

Mumbai-based corporate AI trainer with 17+ years in training. Leadership teams at Tata Motors, Flipkart and Hitachi, builders at HPE and CNH Industrial, and industry programmes for Adani Group, Marks & Spencer and ThyssenKrupp.

2,00,000+professionals trained

600+companies

16+countries

3,000+training sessions

60+keynotes

4.8/5average rating

Author, Generative AI 360°
Visiting faculty, K J Somaiya
Taught at IIMs & University of London
Creator of TAGS_C
Mentor, 91 Springboard & WeWork

CMOs at IIM BangaloreDigital transformation for chief marketing officers

Morning StarGenerative AI training for the team

CapitaLand, BengaluruCorporate training programme

KeynotesInforma Middle East, Tech Asia, HR summits

In their words

What participants say about Hitesh

He made sure that every platform he spoke about was taught in detail with live examples. Hitesh has an eye for detail, very helpful and patient with everybody. He made the class environment very friendly and interactive.

HHetal ParekhTraining participant

Hitesh knows his subject really well. His understanding and eye for detail is impeccable. I think every person should attend Hitesh Motwani’s program and any corporate can immensely benefit from his knowledge.

SSangeet KumarCEO, SHK Ventures

Hitesh has helped our organization tremendously by providing us the right strategy and right path to execute digital projects. His method of training is so simple and easy to understand that even non-digital natives like us could understand.

MMr. HansTourism board of an international organisation

Questions

Generative AI training in Powai: questions

Do you run AI training in Powai and Vikhroli?

Yes. Sessions run at your office around Hiranandani, IIT Bombay, Vikhroli or Kanjurmarg, or live online for teams split across locations.

Is the training technical or for business users?

Both. Track A is technical, for engineers, data and product teams. Track B is for operations, finance, HR and other business teams. Most Powai companies need both.

Can you work within our parent company's AI policy?

Yes. Many GCCs follow global tool approvals and security rules. The programme is built around the tools and rules your company already has.

Do you cover Claude Code and AI coding tools?

Yes. Track A includes AI coding with Claude Code and Codex on your own repositories. See Claude Code training in Mumbai for the full programme.

Can you help our start-up set up AI workflows?

Yes. A single session can set up shared AI workflows for writing, research, sales material and code for a small team.

Do you train manufacturing teams in Vikhroli?

Yes. Head office teams in manufacturing and consumer goods use the business track, with exercises on plant reports, supplier communication and SOPs.

How long does a programme take?

From a one-day workshop to a four-week adoption programme with weekly clinics. A 30-day review is included.

Do you also train teams elsewhere in Mumbai?

Yes. See the Mumbai training hub for Andheri, Navi Mumbai, BKC, Lower Parel and other areas.

Plan generative AI training for your Powai team

Share your team size, whether you need the technical or business track, your approved AI tools and any parent-company rules. Prefer to talk first? Book a free call.

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Based in Mumbai. Engagements are contracted through Skillopedia LLP, with an office at 91 Springboard, BKC. Contact details →