
Deep Track
6 MonthsGo deep: six months of live weekend classes, real projects, interview preparation and a portfolio you can show.
Thinqmesh Academy
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
Five steps, the same for every course.
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.
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.
You build something and submit it. Not a quiz. Not a multiple choice test at the end of a video.
Someone experienced opens your work and writes back about it: what is good, what is wrong, and what to do next.
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
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.
UpfynYour AI computer assistant

AI assistant
Writing and reasoning
Multimodal AI
AI research
Spreadsheets and reports
Spreadsheets and analysis
Documents
Presentations
Meetings and team chat
Code and version control
Team messaging
Scheduling
Docs and knowledge
Files and sharing
Data and scripting
Dashboards and insights
Build AI apps
Workflow automation
In every course
Whichever course you choose, you are taught live, helped one to one, and never on your own once it ends.
Thinqmesh mentors, small batches, your own pace
Our own AI tools, and work you can show
One year with every cohort, or yours for life
On our live courses: from the classroom to the Thinqmesh team
Why start now
Governments and the largest employers are saying the same thing, and putting money behind it: AI skill is becoming the baseline.

United States
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
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
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

European Union
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
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
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
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
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
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
The people who build and run Thinqmesh Technologies

Puja Raghav
Director & CPO

Prateek Varshney
Chief Finance Officer

Harshita Arora
Lead Product Advisor

Ashish Varshney
Chief Technical Officer

Srishty Singh
Lead AI Engineer

Mohit Chaudhary
Director of Sales

Rama Raman
AI Support Lead

Aditya Nair
Product Advisor
Discover Your Place Among Professionals From Leading Brands
Accessible learning
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.

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

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

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

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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.
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.
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.
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.
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.