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Build Your Own AI Apps with Open Source

28 Days Live + Self-Paced: live every Saturday and Sunday, self-paced on weekdays

  • Run open models on your own machine
  • Build chat and document apps
  • Retrieval on your own data
  • Fine-tune a model with LoRA
  • Agents on open models
  • Deploy and serve to real users
  • Own your models and your data
  • A capstone app you ship
  • 28 Days Live + Self-Paced
  • Live Sat & Sun
  • Self-Paced Weekdays
  • 28

    Days Live

  • 8

    Modules

  • 20 Hrs

    1:1 Doubt Sessions

  • 9/10

    Rating

AI for every stage

Who Is This Programme For?

  1. 0–3 Yrs

    Students & New Developers

    Build real AI projects on free, open tools.

  2. 3–9 Yrs

    Developers & Data Folk

    Add open-source AI to the products you already work on.

  3. 10+ Yrs

    Builders & Founders

    Launch AI products you control, from model to deployment.

Own the whole stack

Build AI Apps You Fully Own

Open models now power real products. Learn to run, adapt and deploy them yourself, with no lock-in, your data kept private, and costs you control. For 28 days, weekends are live with a mentor; weekdays you build at your own pace.

8 Modules in 28 Days

Module by module, live on weekends

Module 0: The Open Model Landscape and Local Setup

Know the open models worth using, and run your first one on your own machine.

What Will You Learn?

  • Llama, Qwen, Gemma, Mistral and DeepSeek: what each is good at
  • Running models locally with Ollama
  • Choosing a model for size, speed and quality

What You'll Build

  • A local chat assistant running on your laptop

Tools You'll Use

  • OllamaOllama
  • PythonPython
  • GitHubGitHub

Module 1: Hugging Face and Models in Python

Find, load and run models from the Hugging Face Hub in your own code.

What Will You Learn?

  • Navigating the Hub: models, datasets and licences
  • Running models with Transformers
  • Prompts, chat templates and generation settings

What You'll Build

  • A Python app calling an open model

Tools You'll Use

  • Hugging FaceHugging Face
  • PythonPython
  • JupyterJupyter

Module 2: Building Chat and Document Apps

Wrap a model in an app people can use.

What Will You Learn?

  • Building a web interface for your model
  • Streaming responses and conversation memory
  • Reading PDFs and documents

What You'll Build

  • A chat-with-your-documents app

Tools You'll Use

  • PythonPython
  • Hugging FaceHugging Face
  • OllamaOllama

To Know More About the Other Levels

Download Brochure

Beyond the classes

Your Complete AI Toolkit

Bonus 1

Tools and Workflow Library

Short, focused deep dives you can open any time, so a new tool or a new kind of task never slows you down.

Tool Deep Dives

  • ChatGPT, Claude and Gemini, side by side
  • Perplexity and NotebookLM for research
  • Notion, Sheets and Slides with AI built in

Workflow Deep Dives

  • Research and reporting
  • Content and communication
  • Automating the tasks you repeat every week

Why It Matters

  • You learn the tool when you need it
  • Every deep dive ends with something you can use the same day

Bonus 2

New Content Every Month

Fresh lessons, projects and tool updates published every month, so the course keeps up with AI.

What Arrives Each Month

  • New lessons on the latest tools and features
  • Fresh projects to practise on
  • Lessons updated when a tool changes

Why It Matters

  • The course never goes out of date
  • There is always something new to learn

Bonus 3

Project Library: Keep Building

Ready-to-start project ideas for after each module, so the skill keeps growing once the lessons end.

What's Inside

  • Small projects for every module
  • Step-by-step briefs with a finished example
  • Stretch ideas when you want more

Why It Matters

  • Practice is what makes a skill stay
  • You always know what to build next

Bonus 4

Community and AI Updates

A year in the Thinqmesh community, with what changed in AI each week and how to use it.

What's Inside

  • Weekly roundups of new tools and models
  • Discussion with mentors and other learners
  • Members-only sessions as you go further

Real people. Real learning.

Sneak Peek to Live Class and Mentor Support

See how a weekend class runs live, and how mentors stay with you between sessions until your work is done.

Video coming soon

Meet the Thinqmesh Core Team

The people who build and run Thinqmesh Technologies

  • Anit Chaudhary

    Anit Chaudhary

    Founder & CEO

  • Prateek Varshney

    CFO

  • Puja Raghav

    Director & CPO

  • Sristy Singh

    AI Engineer

  • Aditya Nair

    Product Advisor

  • Mohit Chaudhary

    Sales Director

  • Ashish Varshney

    Operations Lead

  • Anushka Sinha

    Business Consultant

Learn Alongside People From Leading Brands

Our Learners Build Their AI Skills Alongside Work at These Companies

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

Certification

Earn a Certificate That Shows Your Work.

Finish the course and you receive a Thinqmesh Academy certificate of completion, with this:

  • Your own certificate ID, signed by our founders
  • A verification page anyone can check
  • The projects you built, linked from it
  • Ready to add to LinkedIn and your CV

Invest in your growth

Pricing

₹94,999

₹1,59,999

For 28 Days Live + Self-Paced

What's Included

  • The Course, at Your Own Pace
  • Hands-On Projects
  • 20 Hours of 1:1 Doubt Sessions
  • New Content Every Month
  • Community & Course Library
  • Certificate on Completion
  • Learn any time, on any device, and come back to any lesson.
  • Every module ends with something you build and keep using.

Skill up, keep up

Upskill Yourself;
Do More With AI

Learn AI at your own pace, put it to work in what you already do, and keep up as the tools change.

Why Learn With Thinqmesh?

  • AI Training for Every Role

    Bring engineering, marketing, operations and leadership up to speed with AI they will use the next morning.

  • Built Around Your Organisation

    Training shaped to your tools, your data and your goals, taught live to your teams.

  • Taught by Practitioners

    Your people learn from the engineers who build Thinqmesh's own AI products, not from slides.

  • A Learning Partner, Not a Vendor

    We work alongside your L&D team, or run the whole programme for you.

Still Confused?

Book a free call with our experts. Tell us where you are and where you want to be, and we'll point you to the right course.

Book a Free Expert Call

Everything You're Wondering About

Build Your Own AI Apps with Open Source