FMBFEEDMYBRAIN

Live, project-first courses for college students

Empowering Tomorrow's Tech Trailblazers Today

Learn Agentic AI, Machine Learning & Deep Learning and Data Science from zero, and ship a real project to GitHub every single week.

Explore courses Which course is for me?
0
Prerequisites
15–19
Projects per course
500+
Students trained by our mentor
~/feed-my-brain

An animated terminal showing a student shipping weekly projects and deploying a real-time AI agent.

Courses

Three tracks. One promise: you build real things.

Every course starts from your first line of Python and ends with a deployed capstone you can show recruiters.

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16 weeks

Agentic AI Development

A hands-on course for college students: Python, SQL, LLMs and agents, ending in a deployed, streaming, tool-using AI agent.

  • No prerequisites: first Python script to deployed AI agent
  • Project-first: every week ends with something working on GitHub
  • Two full weeks of SQL, reused with PostgreSQL throughout
15 + capstone projects~96 hrs live
Course fee
₹4,999
View course
20 weeks

ML, Deep Learning & Transformers

From first Python script to building a mini GPT and fine-tuning LLMs.

  • No prior Python or ML needed - Class 12 maths is enough
  • Key algorithms built from scratch before using libraries
  • Build a mini GPT and fine-tune small LLMs with QLoRA
19 + capstone projects~120 hrs live
Course fee
₹7,999
View course
20 weeks

Data Science

From raw data to decisions

  • Starts from zero: no prior coding or statistics required
  • 19 portfolio projects plus a team capstone with demo video
  • Grading is 90% hands-on work, marked on analysis and communication
19 + capstone projects~120 hrs live
Course fee
₹4,999
View course

What you'll ship, week after week

CLI quiz gamePersonal expense trackerWeather + news API serviceCollege database query setCanteen / library management APIPrompt-powered study assistantTool-using assistantCollege handbook RAG botWeb research agent (no framework)Personal task agentNatural-language analytics agentMulti-agent content teamLive streaming chat agentChoose one: voice assistant or live market-watch agentDeploy and evaluate the capstoneStudent report-card generatorPersonal expense trackerImage filters with NumPyEDA report on a real datasetGradient descent visualiser + probability simulationsHouse price predictorSMS spam or placement predictorIn-class Kaggle-style competitionCustomer segmentationEnd-to-end deployed ML appNumPy neural network on MNISTFashion-MNIST classifierPlant disease or Indian food classifierReview sentiment analyserDeployed deep learning appTransformer block from scratchMini GPTFine-tuned BERT modelLoRA fine-tuned domain assistantCricket scorecard analyserStudent records managerMovies / OTT titles analysisMessy-data clean-upE-commerce query setRetail sales analysisChart makeover + interactive EDAIPL player consistency reportTest five claims with dataA/B test and pricing analysisBusiness dashboard + memoUsed-car price predictorCustomer churn predictorIn-class Kaggle-style competitionSegmentation + product recommenderRetail demand forecastReview sentiment and topic analysisPySpark pipelineDeployed model with model cardCLI quiz gamePersonal expense trackerWeather + news API serviceCollege database query setCanteen / library management APIPrompt-powered study assistantTool-using assistantCollege handbook RAG botWeb research agent (no framework)Personal task agentNatural-language analytics agentMulti-agent content teamLive streaming chat agentChoose one: voice assistant or live market-watch agentDeploy and evaluate the capstoneStudent report-card generatorPersonal expense trackerImage filters with NumPyEDA report on a real datasetGradient descent visualiser + probability simulationsHouse price predictorSMS spam or placement predictorIn-class Kaggle-style competitionCustomer segmentationEnd-to-end deployed ML appNumPy neural network on MNISTFashion-MNIST classifierPlant disease or Indian food classifierReview sentiment analyserDeployed deep learning appTransformer block from scratchMini GPTFine-tuned BERT modelLoRA fine-tuned domain assistantCricket scorecard analyserStudent records managerMovies / OTT titles analysisMessy-data clean-upE-commerce query setRetail sales analysisChart makeover + interactive EDAIPL player consistency reportTest five claims with dataA/B test and pricing analysisBusiness dashboard + memoUsed-car price predictorCustomer churn predictorIn-class Kaggle-style competitionSegmentation + product recommenderRetail demand forecastReview sentiment and topic analysisPySpark pipelineDeployed model with model card

How it works

Not videos. A weekly rhythm that makes you a builder.

Every course runs as a live batch with the same proven structure, about 6 hours a week plus self-study.

01

Two live sessions a week

90-minute sessions of concepts and live coding, with a quick warm-up quiz on last week.

02

A 3-hour hands-on lab

Build the week's project with mentor support. The last 30 minutes are for demos and code review.

03

Ship a project every week

Every week ends with something working on GitHub. Submit it on your dashboard and get marked.

04

Phase gates and demo day

Prove each phase with a bigger project, then present a deployed team capstone at demo day.

See the full learning model →

Learn from

Darshan

Lead Mentor

Software engineer specialized in AI. Has trained 500+ college students in the AI domain.

Meet the mentors →

FAQ

Questions students ask us

Can't find your answer? Message us on WhatsApp and we'll help you out.

Do I need to know programming before joining?+

No. All three courses start from your first Python script. Basic computer literacy and logical thinking are enough, and Class 12 maths is all you need for the ML and Data Science courses.

Who can join?+

Undergraduate students from any branch: CSE, IT, ECE, EEE, Mechanical, Science and more. The courses are designed for college students starting from zero.

How are classes run?+

Each week has two 90-minute live sessions (concepts + live coding) and one 3-hour hands-on lab, plus 3-4 hours of self-study. Every week ends with a project you push to GitHub.

What laptop do I need?+

Any laptop with 8 GB RAM works. Heavier work (like training deep learning models) runs on free Google Colab or Kaggle notebooks, so you don't need a GPU.

How long are the courses?+

Agentic AI Development is 16 weeks (4 months). ML, Deep Learning & Transformers and Data Science are 20 weeks (5 months) each. Plan for about 6 contact hours a week.

All FAQs →

Ready to feed your brain?

Tell us which course you're eyeing and we'll share the next batch dates and how to enroll.

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