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Thinqmesh Academy

Learn AI the Way It's Used at Work

Thinqmesh Academy teaches AI the way it is used at work: live sessions, real projects, and feedback from people who build this software for clients.

How learning works

How Learning Works Here

Five steps, the same for every course.

Step 1

You Start With an Assessment

Before anything else we find out what you can already do. There is no point teaching you something you know, and no point starting past where you are.

Step 2

You Learn on Real Systems

We build HR, invoicing and training software, and we run those systems ourselves. You learn on the kind of work a company would actually pay someone to build.

Step 3

You Hand In Work

You build something and submit it. Not a quiz. Not a multiple choice test at the end of a video.

Step 4

A Senior Engineer Reads It

Someone experienced opens your work and writes back about it: what is good, what is wrong, and what to do next.

Step 5

You End Up With Proof

A certificate says you turned up. Work an employer can open says far more. The aim is that you leave with both.

Hands-on with real tools

Learn on the Apps You Already Use

From ChatGPT and Claude to Gmail, Sheets, Slides and Teams: you learn on the tools you already use every day, and Upfyn is built to connect with them all.

Upfyn

Your AI computer assistant

ChatGPT

AI assistant

Claude

Writing and reasoning

Gemini

Multimodal AI

Perplexity

AI research

Gmail

Email

Google Sheets

Spreadsheets and reports

Excel

Spreadsheets and analysis

Google Docs

Documents

Google Slides

Presentations

Microsoft Teams

Meetings and team chat

GitHub

Code and version control

Slack

Team messaging

Google Calendar

Scheduling

Notion

Docs and knowledge

Google Drive

Files and sharing

Python

Data and scripting

Power BI

Dashboards and insights

LangChain

Build AI apps

n8n

Workflow automation

In every course

Every Course Includes

Whichever course you choose, you are taught live, helped one to one, and never on your own once it ends.

  1. 01

    Taught Live, Never Left Alone

    Thinqmesh mentors, small batches, your own pace

    • A new cohort starts every Sunday, so you never wait long to begin
    • Live classes every Saturday and Sunday at a slot that suits you, recorded if you miss one
    • One-to-one doubt sessions whenever you are stuck, for as long as your cohort runs
    • Changed your mind? A 15-day refund, pro-rated for what you've used
  2. 02

    Real AI to Practise On

    Our own AI tools, and work you can show

    • Credits on Upfyn, the AI platform built by Thinqmesh, come with every course
    • The Thinqmesh AI Mentor answers your questions at any hour, between classes too
    • You build on your own work and finish with a project our mentors have reviewed
    • A Thinqmesh Academy certificate, signed by our founders, that opens the portfolio you built
  3. 03

    A Community That Stays With You

    One year with every cohort, or yours for life

    • One year of community access with every cohort you join
    • Join three cohorts and your access is yours for life
    • The open Thinqmesh Community, plus members-only spaces as you go further
    • Invite-only add-on courses that can be included with your course
  4. 04

    A Route Into Real Work

    On our live courses: from the classroom to the Thinqmesh team

    • Selected live courses include the Placement Eligibility Exam, held on the 20th of every month: pass it and your profile is listed on our Hiring page for hiring partners; courses marked Placement Programme lead straight to placement
    • Clear it for a project month on our live products, working alongside the team
    • An evaluation and a 30-minute call lead to an interview with our Board
    • Learners who stand out are offered a role at Thinqmesh Technologies Private Limited

Why start now

What the World Is Saying About AI

Governments and the largest employers are saying the same thing, and putting money behind it: AI skill is becoming the baseline.

  • United States

    Where the AI Money Is Going

    Private AI investment in the US reached about $286 billion in 2025, roughly 23 times China's, with nearly 2,000 newly funded AI companies in a single year.

    Stanford AI Index, 2026

  • United Kingdom

    7.5 Million Workers to Be Trained in AI

    The UK government and leading tech companies have set out to give 7.5 million workers, about a fifth of the workforce, essential AI skills by 2030.

    UK Government, 2025

  • India

    Demand for AI Talent Is Outrunning Supply

    Backed by the ₹10,372 crore IndiaAI Mission, India's AI talent pool is expected to more than double by 2027, and demand is still rising faster.

    NASSCOM and IndiaAI Mission

See What Companies Say
  • European Union

    €200 Billion to Build an AI Continent

    Europe's AI Continent Action Plan aims to mobilise €200 billion for AI, with skills and talent as one of its five pillars.

    European Commission, 2025

  • PwC logo

    PwC

    AI Skills Now Carry a 62% Wage Premium

    PwC's study of more than a billion job ads found roles asking for AI skills advertise 62% more pay, up from 57% a year earlier.

    PwC Global AI Jobs Barometer, 2026

  • Accenture logo

    Accenture

    550,000 People Trained in Generative AI

    Accenture has trained about 550,000 of its people in generative AI, and expects its senior leaders to use AI tools regularly to be promoted.

    Accenture, 2026

  • TCS logo

    TCS

    Building an AI-First Workforce

    TCS people earned more than 2.7 lakh advanced AI, ML and GenAI skills in a year, and about 80% of its new hires are expected to bring digital and AI skills.

    TCS, 2026

  • Honeywell logo

    Honeywell

    From Automation to Autonomy

    Honeywell is bringing AI into industrial control rooms, with AI agents built with Google Cloud and a new platform for autonomous operations.

    Honeywell, 2026

  • Tesla logo

    Tesla

    A Carmaker Betting on AI and Robots

    Elon Musk says Optimus, Tesla's humanoid robot, could one day make up most of the company's value, as Tesla pushes deeper into AI.

    Elon Musk, 2026

Meet the Thinqmesh Core Team

The people who build and run Thinqmesh Technologies

  • Puja Raghav

    Puja Raghav

    Director & CPO

  • Prateek Varshney

    Prateek Varshney

    Chief Finance Officer

  • Harshita Arora

    Harshita Arora

    Lead Product Advisor

  • Ashish Varshney

    Ashish Varshney

    Chief Technical Officer

  • Srishty Singh

    Srishty Singh

    Lead AI Engineer

  • Mohit Chaudhary

    Mohit Chaudhary

    Director of Sales

  • Rama Raman

    Rama Raman

    AI Support Lead

  • Aditya Nair

    Aditya Nair

    Product Advisor

Elevate Your Professional Network

Discover Your Place Among Professionals From Leading Brands

  • Amazon
  • Uber
  • SWIGGY
  • Google
  • Microsoft
  • Adobe
  • Infosys

Accessible learning

Eligibility-Based Scholarships

To keep the programme open to talent wherever it comes from, scholarships recognise achievement, need and commitment. Ask whether you qualify on a free call.

1 · Professional Excellence

For working professionals with a strong record of achievement in their field.

Choose your pace

Two Ways to Go Further: Deep Track or Fast Track

Deep Track

6 Months

Go deep: six months of live weekend classes, real projects, interview preparation and a portfolio you can show.

Fast Track

3 Months

Get fluent fast: three months of live weekend classes and a project month, built around the work you already do.

Hear it from them

What Our Learners Say

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Giveaways, Weekly AI Tips and Early Invites, Straight to Your Phone.

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Questions Before You Join

The doubts people raise most often, answered plainly.

More Questions
I'm Not Technical. Is This Really for Me?

Yes. No coding background is assumed, and every course starts from the same month of foundations. More than half of the jobs now asking for AI skills are outside IT, in marketing, HR, finance, sales and teaching, so the skill pays off in whatever work you do.

Can't I Learn All of This for Free Online?

You can find information for free. What you can't find is a mentor who reviews your work, a group that keeps you moving, and a project that has to run by the end. Most people already have AI tools, yet only about a third say they have been properly trained. The difference is practice with feedback, and that is what a live course gives you.

I Don't Have the Time Right Now.

It is two live sessions a week, recorded if you miss one, and built to fit around a job or a degree. Most of what you build is aimed at your own repetitive work, the tasks that quietly eat your week, so the hours you put in are pointed at getting hours back.

AI Changes Every Month. Won't This Be Out of Date?

Tools change; the fundamentals don't. You learn how models behave, how to shape context, and how to connect, evaluate and deploy systems. Those skills carry over to whatever comes next, and the community keeps you current long after your cohort ends.

I Already Use AI Every Day. What Would I Learn?

Using AI and building with it are different skills. Most daily users get a fraction of what the tools can do and rarely check what they are given. The courses take you from asking questions to building agents and systems that do the work, with the evidence that they are right.