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Agentic AI & AI agents · Mumbai

Agentic AI training in Mumbai: build agents that do real work

Agentic AI training in Mumbai for business teams building no-code agents and engineers shipping agents to production, with guardrails and human approval built in.

  • Hands-on
    sessions
  • Built on your
    real work
  • On-site across
    Mumbai & MMR
★ Business track
CoG

No-code AI agents

Copilot Studio, Custom GPTs, Gems

  • Built in the session
  • Connected to your files
Read invoices
Match to POs
Draft vendor emails
★ Technical track
✳G

Agent engineering

Tools, MCP, APIs and evaluation

  • Real builds, real tests
  • Tracing and cost control
Connect an MCP server
Run the test set
Trace a failure
● Built in
✳

Safe by design

Permissions, approvals, logs

  • Least-privilege access
  • Human approval steps
Prompt-injection test
Approval gate
Audit log
MCP · Tool useEvaluationHuman in the loop

Tell me which processes you want AI agents to take on

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
What agentic AI means

From answers to actions

An AI agent is a model that is given a goal, a set of tools and permission to use them. It plans steps, calls tools such as search, a spreadsheet, a CRM or an email draft, checks results, and continues until the task is done or it needs a person to decide.

For a Mumbai operations team, that might be an agent that reads incoming vendor invoices, matches them to purchase orders and prepares exceptions for approval. For a sales team, an agent that researches a prospect, drafts an account brief and logs it in the CRM. For an engineering team, an agent that picks up a ticket, writes the code and opens a pull request for review.

Good first agent tasks

  • Repetitive, multi-step and rule-based
  • Inputs are documents or structured data
  • Output is checked before it goes out
  • Mistakes are cheap to catch
  • Volume is high enough to matter
Two tracks

Business agents and technical agents

Track 1: AI agents for business teams (no code)

  • Custom GPTs, Gemini Gems and Claude Projects as the first step to agents
  • Microsoft Copilot Studio agents inside Microsoft 365 and Teams
  • Connecting agents to SharePoint, Drive, email and calendars, with the right permissions
  • No-code workflow tools for multi-step automations
  • Writing agent instructions, test cases and escalation rules
  • Deciding what an agent may do alone and what needs approval

For operations, finance, HR, sales and service teams. One or two days.

Track 2: agentic AI for technical teams

  • Agent architecture: tools, memory, planning and orchestration
  • Tool use and function calling with the Claude and OpenAI APIs
  • Model Context Protocol (MCP) servers to connect agents to internal systems
  • Multi-agent patterns and when a single agent is better
  • Evaluation: test sets, tracing, failure analysis and cost control
  • Security: prompt injection, permissions, sandboxing and audit logs

For engineers, data teams and architects. Two to three days, or a multi-week build programme.

The curriculum

Eight modules from first agent to production

MODULE 01

How agents work

Goals, tools, memory and loops, explained with live examples rather than diagrams.

MODULE 02

Picking the right tasks

A scoring method for value, risk and reliability, applied to your own processes.

MODULE 03

Your first no-code agent

A working assistant with instructions, knowledge and one connected tool, built in the session.

MODULE 04

Agents inside Microsoft 365 and Google

Copilot Studio and Workspace options, permissions and admin settings.

MODULE 05

Connecting to systems

APIs, MCP servers and connectors, and how to give an agent the least access it needs.

MODULE 06

Reliability and evaluation

Test cases, success criteria, tracing and how to tell when an agent is ready.

MODULE 07

Safety and governance

Prompt injection, data leakage, approval steps, logging and the DPDP angle for personal data.

MODULE 08

From pilot to production

Monitoring, cost, ownership and how to scale from one agent to a portfolio.

Mumbai use cases

Where agents earn their keep in Mumbai companies

Finance operations
Today

Invoices, statements and vendor queries are matched and chased by hand.

With AI

An agent matches documents, prepares an exceptions list and drafts follow-ups for a person to approve.

Banking and NBFC back office
Today

Document checks for onboarding and servicing take many manual steps.

With AI

An agent checks completeness against the checklist and routes gaps to the right person, with every step logged.

Logistics and trade
Today

Shipment status is assembled from emails, portals and trackers.

With AI

An agent compiles a status pack per customer from saved documents and flags shipments that need action.

Sales teams
Today

Account research and CRM updates eat selling time.

With AI

An agent drafts account briefs from public sources and proposes CRM updates for the rep to confirm.

IT and GCC engineering
Today

Routine tickets, tests and documentation pile up.

With AI

Coding agents draft fixes and tests for review. See Claude Code training in Mumbai.

HR and shared services
Today

Policy questions and onboarding tasks repeat every week.

With AI

An internal agent answers from approved policies and hands anything sensitive to a person.

How the training runs

Build, test, decide

Before

Process scan

We shortlist three to five candidate tasks from your teams.

Day 1

Build

Every participant builds an agent for one task, on approved tools.

Day 1

Break it

We test it with tricky inputs, injected instructions and edge cases.

Day 2

Measure

Simple evaluations: accuracy, time saved, cost and failure modes.

Day 2

Govern

Permissions, approvals, logging and an owner for each agent.

Day 30

Review

Which agents are in use, what failed, what to scale next.

Formats

ONE DAY

Business agents workshop

Track 1 for business teams, on-site in Mumbai.

TWO TO THREE DAYS

Technical bootcamp

Track 2 with hands-on builds and evaluation.

FOUR TO EIGHT WEEKS

Agent build programme

Teams build and pilot real agents with weekly reviews.

HALF DAY

Leadership briefing

What agents mean for the business. See AI for leadership in Mumbai.

ONLINE

Distributed teams

For teams across Mumbai, Pune and other offices.

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
A worked example

An invoice exceptions agent for a Mumbai finance team

An illustrative build from the business track, using tools most Mumbai companies already have.

The problem

An accounts payable team receives a few hundred vendor invoices a month by email. Most match a purchase order and a goods receipt. The ones that don't take most of the team's time: wrong rates, missing PO numbers, duplicate invoices and quantity mismatches.

The agent

  1. Reads each invoice PDF saved to a shared folder and extracts vendor, PO number, items, quantities, rates and tax.
  2. Looks up the PO and goods receipt in an exported register and compares line by line.
  3. Sorts invoices into matched, exceptions and possible duplicates, with the reason for each exception.
  4. Drafts a polite query email to the vendor for each exception, in the team's tone.
  5. Stops. A person reviews the exceptions list and approves each email before it is sent. Nothing is posted to the accounting system by the agent.

What the team learns building it

  • How to write agent instructions with clear rules and a clear stopping point
  • How to test with tricky invoices: scanned copies, missing fields, a PDF with hidden instructions
  • How to give the agent read access to the folder and register, and nothing else
  • How to measure it: exceptions caught, false alarms and minutes saved per invoice
Questions

Agentic AI training in Mumbai: questions

What is agentic AI training?

It is hands-on training on AI agents: systems that plan steps and use tools to complete tasks. Business teams learn to build no-code agents with tools they already have; technical teams learn to design, connect, evaluate and secure agents for production.

What is the difference between agentic AI and AI agents training?

They overlap. This programme covers both: Track 1 is no-code AI agents for business users, Track 2 is agentic AI engineering for technical teams. Most companies need both, in that order of headcount.

Do business users need to code?

No. Track 1 uses Custom GPTs, Gemini Gems, Claude Projects, Copilot Studio and no-code workflow tools. Coding is only needed for Track 2.

Which tools and frameworks do you cover?

Microsoft Copilot Studio, ChatGPT, Claude, Gemini, the Claude and OpenAI APIs, Model Context Protocol (MCP) and common workflow tools. The programme follows what your company has approved.

How do you keep agents safe?

Every build includes least-privilege access, human approval for actions that matter, logging, and tests against prompt injection and bad inputs. Agents that touch personal data are discussed in the context of the DPDP Act and your own policies.

Can you train our team on-site in Mumbai?

Yes. Sessions run at your office anywhere in Mumbai, including BKC, Lower Parel, Andheri, Powai and Navi Mumbai, or live online for distributed teams.

Will we have working agents at the end?

Yes. Each participant builds at least one agent during the session. In the multi-week programme, teams pilot real agents on live processes with weekly reviews.

How much does agentic AI training cost?

It depends on the track, team size and duration. You get a quote after a free scoping call. Invoicing is through Skillopedia LLP with GST.

Plan agentic AI training for your Mumbai team

Share your team size, whether you need the business or the technical track, your approved AI tools and two or three processes you would like to automate. Prefer to talk first? Book a free call.

Your information is safe. We don’t spam or send emails unless necessary.

INDIA

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

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