Overview
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 here
Five steps, the same for every course.
- You start with an assessmentBefore 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.
- You learn on real systemsWe 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 hand in workYou build something and submit it. Not a quiz. Not a multiple choice test at the end of a video.
- A senior engineer reads itSomeone experienced opens your work and writes back about it: what is good, what is wrong, and what to do next.
- You end up with proofA certificate says you turned up. Work an employer can open says far more. The aim is that you leave with both.
Courses
4 weeks · 8 live sessions
Builder — AI Fluency
Four weeks that take you from using AI occasionally to shipping an agent you built yourself.
8 weeks · 16 live sessions
Innovator — AI Fluency
Eight weeks that take you from building agents that work to building agents that hold up.
12 weeks · 24 live sessions
Architect — AI Fluency
Twelve weeks that take you from writing prompts to running autonomous systems in production.
Invite only
Upfyn AI Internship
Invite-only work on Upfyn AI itself, for builders who have earned the place.
Plus specialist courses for your field
AI for your role, your industry and the tools you use every day.
Learn on the apps you already use
117 apps and counting, from ChatGPT and Claude to Notion, Sheets, Slack, n8n and MCP. Upfyn is built to connect with them all.
- ChatGPT
- Perplexity
- DeepSeek
- Hugging Face
- Cursor
- Notion
- Google Slides
- XExcel
- Dropbox
- Obsidian
- Miro
- Gmail
- Google Meet
- Loom
- OOtter.ai
- Intercom
- Asana
- Linear
- Basecamp
- WWorkday
- Zapier
- HubSpot
- PPipedrive
- Stripe
- Xero
- PsPhotoshop
- Framer
- Mailchimp
- Google Analytics
- YouTube
- Shopify
- GitLab
- TypeScript
- Kubernetes
- PostgreSQL
- Google Cloud
- Snowflake
- Looker
- Claude
- GitHub Copilot
- Meta AI
- ElevenLabs
- Replit
- Google Sheets
- Google Forms
- WWord
- Airtable
- Evernote
- Typeform
- OOutlook
- Zoom
- Calendly
- FFireflies
- Telegram
- Zendesk
- Trello
- ClickUp
- Todoist
- n8n
- IFTTT
- SSalesforce
- Zoho
- Razorpay
- Canva
- PrPremiere Pro
- Webflow
- Semrush
- X
- WooCommerce
- Python
- Jupyter
- Vercel
- MongoDB
- awsAWS
- Databricks
- BIPower BI
- Gemini
- Mistral
- Ollama
- MMidjourney
- Grammarly
- Google Docs
- Google Drive
- PPowerPoint
- Coda
- Confluence
- SurveyMonkey
- Google Calendar
- TMicrosoft Teams
- GGranola
- Slack
- Discord
- FFreshdesk
- Jira
- mmonday.com
- Greenhouse
- Make
- MCP
- AApollo
- inLinkedIn
- QuickBooks
- Figma
- Blender
- WordPress
- Google Ads
- Buffer
- GitHub
- JavaScript
- Docker
- Supabase
- Firebase
- LangChain
- BigQuery
- TTableau
Every course includes
Whichever course you choose, you are taught live, helped one to one, and never on your own once it ends.
Taught live, never left alone
- Live sessions with a mentor in a small batch, never a library of videos
- Two sessions a week, recorded if you miss one
- One-to-one doubt sessions on request, for as long as your cohort runs
- A 15-day refund, no questions asked
Real AI to practise on
- Upfyn AI credits come with every course
- You build on your own work and problems from the first week
- Every course ends with a project a mentor has reviewed, and you keep it
- A certificate on completion that shows the portfolio you built
A community that stays with you
- One year of community access with every cohort you join
- Join three cohorts and your access is yours for life
- Your cohort group stays together for the whole run
A route into real work
- Complete Architect and you are offered the internship on the live Upfyn project
- On Builder or Innovator, register for the free internship exam, held every month
- Pass it and you are interviewed by the Board
- Innovator and Architect include exam retakes after your cohort, while your community access lasts
Why start now
AI skill is scarce, it is paid for, and it is no longer only for engineers.
Use cases
Real work people do with AI, each with the course that gets you there.
Summarise shift handover notes
Turn messy end-of-shift notes into a clean handover with pending tasks and patients to watch.
Answer policy questions from your wordings
An assistant that answers coverage questions from your policy wordings and quotes the clause.
Write product listings from a spec sheet
Turn a spreadsheet of product specs into consistent titles, bullets and descriptions for your store.
Latest blogs
AI Careers · 27 Sept 2026
Why everyone should skill up with AI, whatever their job
AI skills are wanted in every role, pay more and are scarce in India. The gap is not access to tools but training. Here is the evidence, in one place.
AI Fluency · 26 Sept 2026
From prompts to agents in three months
What you learn, what you build and who each month suits as you move through AI Fluency, from your first agent to a deployed autonomous system.
Using AI Well · 26 Sept 2026
Having AI tools is not the same as knowing AI
Most knowledge workers already use AI, but only about a third say they were properly trained. Access is common. Skill is not, and the gap shows.
Guides
Start here before your first session.
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.