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Supercharge Your Career with AI-Native Skills

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New: AI-Native Skills for Parents

Train on the Stack the Industry Runs On

Hands-on with the tools leading teams use every day

Our Learning Stack

One Stack. Every Skill Our Engineers Use.

This isn't theory. You learn on the same tools and workflows our engineers build Thinqmesh products with, and you ship real work from the first weekend.

Generate Images & Videos with Upfyn

Create, refine and produce work-ready images and videos with Upfyn

Prompt

A Kathakali dancer in green face paint and a crimson costume, mid-performance on a dark stage lit by a single oil lamp.

Build AI Application with Upfyn Members

Create custom agents and AI tools

Automate Workflows

Connect your tools and let routine work run itself

Master Prompt & Context

Reliable answers, every time

Deploy with Orfyn

Take AI from pilot to production inside real teams

Learn with Live Class

Every class is taught live on a fixed weekend date, in a small cohort, by engineers who build Thinqmesh products for a living.

Put It to Work on Our Products

What you learn here runs on the products Thinqmesh ships, so every skill carries straight into real work.

Hands-on with real tools

Master Tools of the Trade

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

AI Fluency

What Is AI Fluency?

The ability to put AI to work, not just chat with it. Eight skills, taught live on weekends, and your plan is shaped around the ones you need most.

Skill 01 · Foundations

AI Foundations

How AI models actually work, what they do brilliantly and where they quietly fail. Knowing their limits is what stops you trusting a confident wrong answer.

  • See How Today's Models Arrive at an Answer, and Why They Sound Sure When They Are Wrong
  • Know Which Jobs AI Does Brilliantly and Where It Quietly Fails
  • Pick the Right Model for the Task in Front of You
  • Catch a Confident Wrong Answer Before It Reaches Your Work

Skill 02 · Engineering

Prompt & Context Engineering

Get a reliable answer every time, not just now and then. You learn to give the model the right context, examples and format, so what comes back is ready to use.

  • Write Prompts That Hold Up Across ChatGPT, Claude and Gemini
  • Hand the Model the Right Context, Examples and Format
  • Turn a Vague Answer Into One That Is Ready to Use
  • Keep a Prompt Library Your Team Can Reuse

Skill 03 · Agents

Build AI Agents

Build assistants that do a job on their own: look things up, make a decision and act on it. You also set the limits that keep them safe and on task.

  • Build an Assistant That Looks Things Up and Acts on Its Own
  • Connect It to the Tools and Data It Needs
  • Set Clear Limits That Keep It Safe and on Task
  • Test It on Real Cases Before Anyone Relies on It

Skill 04 · Automation

Automations & Workflows

Turn multi-step tasks into workflows that run without you, and keep running when something unexpected turns up. That second part is where most projects fall over.

  • Map a Repetitive Task Into Steps a Workflow Can Run
  • Start Work from Forms, Email and Messages
  • Handle the Unexpected So the Flow Keeps Running
  • Keep a Person in the Loop Where Judgement Matters

Skill 05 · Integrations

Integrations & APIs

Connect AI to the tools you already use, so it works on your real files, apps and data instead of whatever you paste into a chat.

  • Connect AI to the Apps You Already Work In
  • Work on Your Own Files and Data, Not Pasted Text
  • Understand APIs Well Enough to Wire Services Together
  • Keep Keys and Private Data Safe While You Do It

Skill 06 · Product

Product Thinking for AI

Decide What Is Worth Building Before You Build It. It is the difference between a clever demo and something people come back to every day.

  • Decide What Is Worth Building Before You Build It
  • Find a Problem Real People Care About
  • Scope a First Version You Can Actually Finish
  • Judge When AI Is the Wrong Tool for the Job

Skill 07 · Shipping

Ship on Upfyn

Put your work live on Upfyn (upfyn.com), the AI computer assistant real people use every day. You leave with something you can open and show, not a screenshot.

  • Put Your Work Live on a Product People Use Every Day
  • Practise in Class on the Tool You Keep Using Afterwards
  • Share a Link Anyone Can Open, Not a Screenshot
  • Keep Building After Class with Your Upfyn Credits

Skill 08 · Delivery

Ship & Iterate

Finish what you start, put it in front of real users and improve it from what they tell you. Finishing is the step almost everyone skips.

  • Put Your Project in Front of Real Users
  • Learn from What They Get Wrong, and Fix It
  • Improve It in Small, Steady Releases
  • Finish with a Portfolio Piece You Can Show an Employer

AI for every stage

Who Is Thinqmesh Academy For?

  1. 0–3 Yrs

    Students & Early Careers

    Stand out early by building with AI before your first big role.

  2. 3–9 Yrs

    Working Professionals

    Lead AI-driven projects and deliver work faster than your peers.

  3. 10+ Yrs

    Leader, Founder & Agency

    Build AI-ready teams and deliver AI work for your clients.

Meet our experts

Taught by the Engineers Who Build Our Products

  • Puja Raghav

    Director & CPO, Thinqmesh Technologies

  • Anit Chaudhary

    Founder & CEO, Thinqmesh Technologies

  • Gaurav Kumar

    AI Engineer, Tata Group

  • Rama Raman

    Lead Support, Thinqmesh Technologies

  • Srishty Singh

    Lead AI Engineer, Thinqmesh Technologies

  • Ashish Varshney

    Chief Technical Officer

  • Sumit Kumar

    Director of Delivery

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