AKF A Flagship Programme by Arun-Kumar Foundation

Next Gen
Hindustan

AI for Every Indian

From Zero to LLM

11+ Months of Training
4 Learning Phases
MIT Grade Curriculum
Apply Now → Explore the Curriculum
Our Vision

India's Next AI Generation Starts Here

"To empower every young Indian - regardless of background - with the knowledge and skills to build, train, and deploy Large Language Models, making India a global leader in Artificial Intelligence." - Arun-Kumar Foundation Mission Statement

Next Gen Hindustan is a flagship, social-impact AI training programme designed to take complete beginners - students who have never written a line of code - and transform them into capable AI practitioners who can independently build and train Large Language Models.

The programme blends MIT-grade curriculum depth with India-centric accessibility, delivered live online, at no barrier to entry. We don't just train - we build a generation.

🎓
No Prerequisites Required Designed for complete beginners with zero coding background
💻
Live Online Classes 2 live sessions per week, 3 hours each - recorded within 24 hrs
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MIT-Grade Curriculum Based on MIT 6.0001, 6.036, 6.7960
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Community Learning Group projects, peer reviews, Discord
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Project-First Assessment No written exams - only real, shipped projects count
The Curriculum

Four Phases. One Mission.

A sequential programme where every phase builds directly on the previous one - from your first line of Python to a fully deployed LLM.

Phase 01
Python Foundations
Months 1 - 2 · 2 Months
Based on MIT 6.0001 - Intro to CS with Python
  • Python syntax, variables & control flow
  • Functions, recursion & modular programming
  • Object-oriented programming - classes & inheritance
  • File I/O, error handling & debugging
  • NumPy, Pandas & Matplotlib
  • Data structures & algorithm fundamentals
🏁 Capstone - Individual Project Build a fully functional data analysis tool from scratch.
Phase 02
Machine Learning
Months 3 - 7 · 5 Months
Based on MIT 6.036 - Intro to Machine Learning
  • Supervised learning - regression, SVM, decision trees
  • Model evaluation - cross-validation & metrics
  • Unsupervised learning - k-means & PCA
  • Feature engineering & preprocessing pipelines
  • Ensemble methods - Random Forests & XGBoost
  • Tools: Scikit-learn, Pandas, Seaborn
🏁 Capstone - Group Project (Teams of 4-5) End-to-end ML pipeline on a real-world Indian dataset.
Phase 03
Deep Learning
Months 8 - 9 · 2 Months
Based on MIT 6.7960 - Deep Learning
  • Perceptrons, activations & feedforward networks
  • Backpropagation - Adam, SGD, RMSprop
  • Convolutional Neural Networks for vision
  • RNNs, LSTMs & GRUs for sequences
  • Transfer learning & fine-tuning pre-trained models
  • Tools: TensorFlow / PyTorch, Keras, Google Colab
🏁 Capstone - Group Demo Day Train a CNN image classifier or RNN text model; live demo.
Phase 04
Large Language Models
Months 10 - 11+ · Extensible
  • Attention mechanisms & Transformer architecture
  • Pre-training - masked & causal language modelling
  • Tokenisation - BPE, WordPiece, SentencePiece
  • Fine-tuning - LoRA, QLoRA, PEFT
  • Instruction tuning & RLHF overview
  • Deployment - Hugging Face Hub & quantisation
🏁 Final Capstone - Group Build Build, train, and deploy a small LLM from scratch. Presented to academic & industry judges.
How It Works

Weekly Schedule & Class Format

Structured for working students - 2 weekend classes, independent study, and project hours.

Weekly Time Commitment

ActivityDescriptionHours
Live Class 1Teaching + doubt solving3 hrs
Live Class 2Teaching + doubt solving3 hrs
Independent StudyReading, revision, exercises~2 hrs
Project WorkPhase-specific contributionVariable
Total per week~8 hrs
📡 Delivery Platform - Live online via video conferencing. All sessions recorded and available within 24 hours. Materials managed via a centralised LMS.

💬 Async Support - 24/7 Discord community forum for the entire 1,000-student cohort.

Each 3-Hour Session Breakdown

Session Format
0:00 - 1:00
Lecture Block 1 New concept teaching - instructor-led
1:00 - 2:00
Lecture Block 2 Live coding demonstration - instructor-led
2:00 - 3:00
Doubt Solving & Q&A Student-led - open floor for questions
📝 Assessment Philosophy - No written exams. Evaluation is entirely through project quality, code reviews, and peer evaluation. Students must pass each phase's project to advance. Extension to 15 months is available without academic penalty.
The Journey

Your Path Through NGH

Every student follows the same structured journey - from registration to their AKF graduation ceremony.

📋
Stage 0 - Registration
Application & Enrolment
Submit your application and complete enrolment. No technical background required.
👕
Stage 0+ - Welcome Kit
Official NGH Programme Shirt
Your official Next Gen Hindustan shirt is dispatched on registration. You're part of the cohort.
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Month 1 - Orientation Week
Programme Intro & Setup
Programme kickoff, tooling setup (Python, Jupyter, Git), cohort introductions, and your first live session.
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Month 2 - Phase 1 Completion
Python Individual Project
Your standalone Python application - data tool or automation script - is submitted, graded, and reviewed by instructors.
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Month 7 - Phase 2 Completion
ML Group Project Presentation
Your team presents a full end-to-end ML pipeline. A peer review session is conducted with the cohort.
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Month 9 - Phase 3 Completion
Deep Learning Demo Day
Live virtual demo of your team's trained neural network.
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Month 11+ - Phase 4 Completion
LLM Capstone Demo
Your team presents a fully functional, trained, and deployed Large Language Model to a panel of academic and industry judges.
What Sets Us Apart

Four Pillars of NGH

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World-Class Curriculum

Follows MIT OpenCourseWare syllabi for Python, ML, and Deep Learning - the same material taught at one of the world's top universities.

🛠️

Learn by Building

Every phase ends with a real shipped project. Students build, not just study. The only exam that matters is: does it work?

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Community Learning

Group ML and LLM projects build collaboration skills that mirror the real AI industry.

⏳

Structured Flexibility

Core 11-month timeline, extensible to 15 months. No student is penalised for needing more time. No one left behind.

The People Behind NGH

Mentors & Instructors

The dedicated experts guiding our students through every phase - from first line of Python to deploying their first LLM.

👨‍💻

Lead Instructor

Python & ML

Expert in Python, ML fundamentals, and pedagogy. Leads Phase 1 & 2 curriculum delivery.

👩‍🔬

Deep Learning Mentor

Neural Networks

Specialist in CNNs, RNNs, and transfer learning. Guides students through Phase 3 deep learning projects.

🧑‍🏫

LLM & NLP Expert

Transformers & LLMs

Leads Phase 4 - from Transformer architecture to fine-tuning and deploying production LLMs.

👨‍🎓

Programme Coordinator

Student Support

Oversees cohort progress, peer mentoring, and student success throughout the full 11-month programme.

Want to mentor?

Join NGH as a Mentor or Guest Lecturer

We welcome AI practitioners, researchers, and educators to contribute to India's AI generation.

Express Interest →
Join the Movement

Ready to Build India's AI Future?

Applications for Next Gen Hindustan are open. No coding background required - just passion, commitment, and 8 hours a week.

Apply Now → See All AKF Programs
Who Should Apply?
  • Motivated young Indians with no prior programming experience
  • Students passionate about technology and India's AI future
  • Anyone who can commit 5-7 hours per week
  • Those who want a globally competitive AI skillset