Quick answer: Hitesh Motwani is a generative AI trainer and expert who teaches employees to use ChatGPT, Claude, Microsoft Copilot and Gemini on their real work: reports, proposals, analysis, decks and code, then go further into RAG on company documents and AI agents. He trains hands-on, on your teams’ own files, with support after the session, onsite in India and the UAE or live online.
Individuals: live Claude, AI Agents and Generative AI Mastery batches. Reserve a seat →
Teams at these organisations have trained with Hitesh Motwani and Skillopedia
200,000+ professionals · 16+ countries · 4.8★ average session rating · Corporate clients include Google, Microsoft & Tata Group
That is how most corporate AI training ends. The licences arrive, a webinar runs, usage spikes for a fortnight and then flattens. The problem is never the tools. It is that people were shown features, when what they needed was a new way of doing their own work.
Hitesh Motwani built his sessions around that last point. Every participant works on live tasks from their own job, with laptops open, while he checks prompts and outputs in the room. People leave with work done and a method they can repeat, so the routine parts of each role take less time and the organisation executes faster. The rest of this page shows exactly what that looks like: what teams build, the programmes, the curriculum, formats, and what it costs to get a proposal.
Laptops open, real tasks, your own files. These are the kinds of things teams walk out of a generative AI workshop with.
Policies, product sheets and SOPs answered in seconds, with citations instead of guesses.
Tool use, function calling and MCP, with human checkpoints where they matter.
Role, context and constraint patterns, tested on real work and saved for the whole team.
Pick the job that eats your week and leave with an agent that runs it on schedule.
ChatGPT, Claude, Gemini or Microsoft Copilot. If you have standardised on one, the workshop runs inside it.
Data privacy, confidentiality, IP, bias and model choice, written for your organisation.
Every programme is custom-built around your people, your tools and your data rules. Start with one, or combine them into an enterprise roadmap.
Company-wide fluency: ChatGPT, Copilot, Claude and Gemini turned into daily habits across your workforce.
Covers: prompt and context engineering; research, writing, analysis and decks; safe-use rules.
Finance, HR, sales, marketing, legal and operations, each trained on its own KPIs, files and workflows.
Covers: role-mapped use-case libraries and live-workflow labs.
Teams design and ship agents that watch inboxes, move data and finish multi-step tasks on their own.
Covers: agent design and guardrails; MCP, APIs and integrations; n8n, Make, Zapier, Copilot Studio.
AI teammates for research, reporting, drafting and follow-ups, briefed like staff and reviewed by your people.
Covers: role design and operating instructions; grounding in your knowledge base; human sign-off.
From idea to working app: prototypes, then RAG and LLM apps your business can rely on.
Covers: RAG apps; Claude Code, Cursor and GitHub Copilot; evaluation, guardrails and deployment.
A closed-room programme on where AI moves your numbers, what to fund, what to refuse and how to govern it.
Covers: reading an AI business case; risk and accountability; a 90-day adoption plan.
Deep, hands-on mastery of exactly the tools your IT team has licensed.
Covers: Microsoft 365 Copilot and Copilot Studio; Claude Projects; ChatGPT; Gemini Gems; NotebookLM.
Marketing and brand teams produce images, video, voice and decks with current generative tools, on brand.
Covers: AI video and image production; voice and presentations; brand-safe workflows.
Two minutes now can save your team hundreds of hours later. Share a few details and Hitesh’s team will send a written outline and quote. Prefer to talk first? Book a free call.
Modules are assembled to fit your audience. A finance team and an engineering team start in different places, and the agenda is confirmed with you before delivery. For a fixed 16-hour syllabus, see the corporate training on generative AI curriculum. For the wider picture of AI across the learning lifecycle, read our guide to how generative AI is used in corporate training.
| # | Module | What it covers | Who it suits |
|---|---|---|---|
| 01 | AI, ML and LLM foundations | How large language models work, where they fail, and the vocabulary leaders need to make decisions | Everyone |
| 02 | Prompt engineering that holds up | Role, context and constraint patterns, reasoning prompts, evaluation and reusable prompt libraries per department | Everyone |
| 03 | RAG on your own documents | Chunking, embeddings, vector search, grounding and citations, and how to stop invented answers on policy and product data | Analysts, ops, builders |
| 04 | AI agents and agentic workflows | Tool use, function calling, MCP, multi-step agents and human-in-the-loop design | Ops, builders, power users |
| 05 | The tool stack, compared | Hands-on with ChatGPT, Claude, Gemini and Microsoft Copilot: which one to use, and when | Everyone |
| 06 | Governance, risk and ethics | Data privacy, confidentiality, IP, bias, model choice and an acceptable-use policy your legal team can sign off | Leaders, legal, IT |
| 07 | Building your AI strategy | Use-case discovery, prioritisation by value and effort, pilot design and the internal AI stack that supports it | Leaders, L&D |
| 08 | Customised workshop modules | Bring your own backlog: tender responses, credit notes, campaign briefs, QA reports, whatever eats your week | Each team |
| 09 | AI for every business function | Separate tracks for HR, sales, marketing, finance, operations, legal and customer service, each with its own prompts and measures | Each function |
The fastest adoption happens when people see AI doing their own job, not a generic one. Each function gets its own exercises, prompts and measures.
| Team | What they practise on | What they keep |
|---|---|---|
| Finance | Monthly variance commentary, reconciliations, board-pack drafts, policy Q&A | Commentary prompts, a checking routine for every number |
| HR | Job descriptions, policy answers, interview guides, engagement-survey analysis | A policy assistant and HR prompt book, with clear rules on employee data |
| Sales | Account research, proposals, follow-up sequences, call-note summaries | A proposal workflow and follow-up templates |
| Marketing | Campaign briefs, content calendars, ad variations, creative production | Brand-voice prompts and a content workflow |
| Operations | SOP updates, weekly MIS narratives, vendor follow-ups, ticket triage | An agent that clears one recurring task |
| Legal | Contract first reads, clause comparison, research summaries | Review prompts and a citation-checking rule |
| Customer service | Reply drafts, knowledge-base answers, complaint summaries | A grounded answer assistant with human review |
| Engineering | Code explanation, tests, refactors, documentation | AI-assisted coding rules for your repositories |
Function programmes: finance teams · HR teams · legal teams · marketing · engineering teams · managers and departments
A selection of recent engagements delivered by Hitesh and the Skillopedia team. Documented results with figures are on the case studies page.
| Sector and client | What the engagement involved |
|---|---|
| Automotive · Tata Motors | Company-wide generative AI enablement rolled out as a certified AI and ML programme across HR and functional teams, over multiple cohorts |
| Logistics · Gulf Transworld Group | Role-grounded Claude enablement for leadership across four batches of 25 |
| Technology · Excelacom | A three-day build-with-Claude intensive for 30 engineers on RAG, agents and API tooling |
| Chemicals · Indorama | Generative AI and NotebookLM workshops across plants in Nigeria, India and Indonesia, tailored to manufacturing and corporate functions |
| Internet · CarDekho / GirnarSoft | A 50-person cohort trained on Claude for day-to-day HR and operations work on the teams’ own live files |
| Procurement research · Beroe | Hands-on generative AI training for research managers and analysts across several LLMs |
Hands-on generative AI workshop, India
Training CMOs, IIM Bangalore
Corporate training, CapitaLand, Bengaluru
Two-day corporate workshop, Percept, Mumbai
| Sector | Selected organisations whose teams have trained with Hitesh Motwani and Skillopedia |
|---|---|
| Technology and IT | Google, Microsoft, Accenture, Capgemini, Cognizant, HCL, HPE, SAP, Flipkart, Birlasoft, Mphasis |
| Banking, financial services and insurance | HDFC Bank, Kotak Mahindra, IndusInd Bank, IDFC First Bank, NSE, SBI Life, Swiss Re, NatWest |
| Automotive, manufacturing and industrial | Tata Motors, Mahindra & Mahindra, Maruti Suzuki, Siemens, Bosch, Larsen & Toubro, JCB, Godrej, LG |
| Pharma and healthcare | Pfizer, Abbott, Bayer, Sun Pharma, Glenmark, Wockhardt, Piramal |
| Media and advertising | Ogilvy, Publicis Groupe, TBWA, Sony, Zee, Times Group, Percept |
| Consumer, real estate and retail | ITC, Dabur, Diageo, Kellanova, Lodha Group, IHCL / Taj Hotels, Landmark Group, Reliance Retail |
| Conglomerates and consulting | Tata Group, Adani Group, Aditya Birla Management Corporation, EY, GMR Group |
| Education and institutions | IIM Bangalore, IIM Ahmedabad, IIM Lucknow, ISB, BITS Pilani, NMIMS, MICA, SP Jain, Symbiosis |
Client names are listed for sector context. Engagement details stay under each client’s NDA and are shared on a call.
Most enterprises combine a leadership briefing with hands-on team workshops. Everything runs from a 90-minute executive briefing to a 30-hour capability programme.
| Format | Typical length | Best for | Group size |
|---|---|---|---|
| Onsite corporate workshop | One or two days | Hands-on work on real tasks, with department-wise breakouts | 20–200 participants across batches |
| Live online cohort | 2–3 hour blocks | Distributed teams across time zones; recordings and prompt packs included | Up to 30 per cohort |
| CXO and leadership briefing | 90 minutes to half a day | Strategy, risk, ROI and what to fund next quarter | Board and ExCo groups |
| Hands-on build bootcamp | Multi-day | Teams that ship a working RAG assistant or agent on internal data | Tech and ops teams |
| Train-the-trainer | Agreed with you | Internal champions with facilitator guides, so enablement scales | L&D and HR led |
| Keynote and conference | 45–90 minutes | Opening talks on generative and agentic AI for annual meets and offsites | Any audience |
Your audience, tools, data policies and the workflows that take the most hours, before anyone trains.
A written outline built on your real documents and approved tools, with every exercise named in advance.
Hands-on labs where people rebuild their own reports, decks, analyses and processes, live in the session.
30-60-90 day clinics, a champion network and prompt libraries, so usage keeps climbing after the session.
Mumbai, Delhi NCR, Bengaluru, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad and more, at your offices.
Dubai, Abu Dhabi, Sharjah and the northern emirates, onsite or live online.
Singapore, Malaysia, the UK, the US and more, mostly live online with onsite sessions by arrangement.
Leaders want numbers, not anecdotes. Every engagement sets a day-zero baseline, then tracks adoption, hours saved and cycle time against it, reported in plain language for your board.
| Measure | How it is captured | When |
|---|---|---|
| Baseline time per task | Each team names two or three recurring tasks and records how long they take today | Before the session (day zero) |
| Weekly active use | Usage reports from the tools you license, or a short pulse survey | At 30, 60 and 90 days |
| Time per task after training | The same tasks, timed again with the new workflow | At 30 and 90 days |
| Workflows in daily use | Prompts, Projects, Gems or agents the team actually runs each week | At each clinic |
| Quality and risk | Spot checks on outputs, and any data-policy questions raised | Ongoing |
| Ask the provider | A weak answer | A strong answer |
|---|---|---|
| Who will train our people? | “One of our trainers.” | A named trainer whose sessions you can see before you sign |
| Will people work on their own tasks? | “We use realistic examples.” | Yes, on sanitised copies of their own files, named in the outline |
| Which tools will we use? | Whatever the trainer prefers | The tools your company already licenses |
| How is company data handled? | Not discussed | Rules that match your policy, and exercises that never touch live customer data |
| What happens after the session? | “You get the slides.” | Clinics at 30, 60 and 90 days, plus prompt libraries and champions |
| How will we know it worked? | A feedback form | A day-zero baseline and usage checks reported to the sponsor |
Red flags: guaranteed productivity percentages before anyone has seen your work; one deck for every department; exercises on consumer accounts with real customer data; and no plan for what happens after the workshop.
A practitioner who trains, not a slide-deck speaker: 17+ years across AI, digital transformation and marketing leadership.
Hitesh Motwani, corporate generative AI trainer, Mumbai and Dubai
Corporate AI trainer · Author · Keynote speaker · Chief AI Officer, Skillopedia
Teaches: ChatGPT, Claude, Copilot, Gemini, RAG and AI agentsHitesh’s purpose is simple: people should leave a session able to do their own work faster with AI. Participants practise on their own emails, reports, spreadsheets and decks, so the workflows they build are in use the next morning. As those hours come back across every team, the organisation starts executing faster.
“We had run three AI trainings before this. It was the first one where people were still using what they learned a quarter later, and the first where I had adoption numbers for my board deck.”
“Every L&D leader knows the pain of training that evaporates. The 30-60-90 reinforcement model is the difference: usage went up after the workshop ended, not down.”
More: about Hitesh · the book · the AI Operator Bootcamp
Every engagement comes with material your people use after the session, not just on the day.
Cannot find what you need? Send a short brief and you will get a written outline and quote.
A generative AI trainer teaches employees to use generative AI tools such as ChatGPT, Claude, Microsoft Copilot and Gemini on their real work, and, for teams that are ready, to build RAG assistants and AI agents. Good programmes are hands-on, use the company’s own files and approved tools, and include follow-up so the habits last.
Anything from a 90-minute executive briefing to a 30-hour capability programme. The most common choice is a one-day hands-on workshop per team, preceded by a leadership session so sponsors and participants start from the same expectations.
Yes. Customisation is the default. Before delivery we agree your tools, your data-handling rules and a shortlist of live use cases, then rebuild the exercises around them so people practise on real work.
Both. Prompting is the entry point; RAG on internal documents and agentic workflows with tool use are full modules for teams ready to build. Engineering groups go further into evaluation, guardrails and deployment.
ChatGPT, Claude, Gemini and Microsoft Copilot, plus whichever enterprise stack you already license. Where a company has standardised on one tool, the workshop runs entirely inside it. Hitesh is vendor-neutral and resells none of them.
Yes. Sales, HR, finance, legal and operations teams make up most participants. No coding is needed in the business tracks; technical depth runs in separate engineering sessions.
A department prompt library, working examples built in the session, recordings where permitted, a generative AI handbook, and a written adoption plan for the sponsor.
Support is the fourth stage of the MAPS Method: clinics at 30, 60 and 90 days, a champion network and prompt libraries that keep adoption climbing, plus a written summary of what the group built.
Yes. Hitesh delivers onsite across Indian metros and across the UAE, and runs live online cohorts for teams elsewhere. Multi-country organisations usually run one shared leadership briefing, then regional hands-on workshops.
It is quoted against a brief, because cohort size, session length, customisation depth and location all change the number. Share your team size, locations and dates and you receive a written agenda and quote, usually within a few working days.
Yes. Most engagements run under the client’s own NDA, and the material is not published without consent.
Yes, through a live batch of the AI programme: Claude Mastery, Generative AI Mastery or AI Agents, with weekday and weekend timings. See the live batches.
Participants receive a Skillopedia training certificate on completion, useful for internal L&D records. It is a training certificate, not a vendor certification.
Tell us who is in the room and what they need to deliver. You will get a written outline, named exercises and a clear quote.
Onsite across India and the UAE · Live online worldwide · hitesh@skillopediagroup.com
Choose a slot that suits you. The call is free, takes about fifteen minutes and there is no obligation.
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Tell us who is in the room and what they need to deliver. You will get a written outline with every exercise named, built on your tools and data rules, and a clear quote.