Developers building AI-native software products and applications

BUILD

Learn AI-Native Software Product Building, Hands-on

Build, deploy, and scale AI-native products. Hands-on platform with expert mentoring and real projects.

From Idea to Production—Fast

BUILD teaches young developers to create AI-native products end-to-end. Through structured cohorts, hands-on projects, and expert tutoring, participants learn to design, build, deploy, and scale real applications.

Whether you're building your first AI chatbot or a full-stack ML product, BUILD provides the framework, community, and mentorship to succeed.

Developer coding AI and machine learning product

Master the Modern AI Landscape

Master the tools and paradigms shaping AI-native software today.

AI agents - autonomous software that plans and executes tasks

AI Agents

Autonomous agents that reason, plan, and act

MCP Model Context Protocol - connect LLMs to tools and data

MCP

Model Context Protocol—connect LLMs to tools

AI software development tools - Cursor, v0, Bolt

AI Dev Tools

Cursor, v0, Bolt—AI-powered coding

LLMs and RAG - retrieval augmented generation

LLMs & RAG

Retrieval-augmented generation

Vector databases and embeddings for AI

Vector DBs

Embeddings, similarity search, semantic memory

AI orchestration and pipelines

Orchestration

Workflows, pipelines, tool chains

Claude Powered by Anthropic Claude

Complete Agentic AI Certification with Claude

A three-pillar, hands-on certification program that takes you from AI-native product design to shipping production-grade multi-agent systems—using Claude as your co-pilot at every stage.

Claude Design - AI-assisted product design, wireframes, and UX
Module 01 · Claude Design

Design with Claude

Turn ideas into production-ready AI products. Use Claude to research users, draft PRDs, generate wireframes, and shape system architecture before a single line of code is written.

  • Product discovery & user-story generation with Claude Projects
  • AI-native UX patterns, prompt-first interfaces & guardrails
  • System design, API contracts, and data-flow diagrams
  • Claude Artifacts for rapid, iterative prototyping
Claude Projects Artifacts UX & PRDs
Claude Code - AI pair programming and terminal-native coding
Module 02 · Claude Code

Build with Claude

Ship real applications faster with Claude Code as your agentic pair programmer. Write, refactor, test, and deploy production code across full-stack, backend, and ML workloads.

  • Agentic coding with Claude Code in the terminal & IDE
  • Full-stack builds: APIs, databases, auth, and cloud deploys
  • Test generation, debugging, and automated code reviews
  • Tool-use, function calling, and RAG pipelines with Claude APIs
Claude Code Tool Use RAG & APIs
Claude Cowork - multi-agent orchestration and team collaboration with AI
Module 03 · Claude Cowork

Agent Orchestration with Claude

Graduate from single prompts to full multi-agent systems. Design, deploy, and govern teams of Claude agents that plan, collaborate, and execute complex workflows end-to-end.

  • Multi-agent architectures: planner, executor, and critic patterns
  • Model Context Protocol (MCP) for tools, data & memory
  • Long-running tasks, handoffs & human-in-the-loop workflows
  • Evaluation, observability, safety & production hardening
Multi-Agent MCP Orchestration
For College Students

AI/ML Internship Projects

Industry-oriented, 100% online internships across 5 major domains and 20 specialized project tracks. Build portfolio-ready AI products with mentor guidance—on your schedule.

Fully online  ·  Industry-oriented  ·  1–3 months

Machine learning and data science analytics dashboard
Category 01

Machine Learning & Data Science

Build predictive models and data pipelines used in real business decisions—from churn analysis to recommendation engines.

5 Project Tracks

Predictive Analytics

Regression & classification with Scikit-learn on real datasets

Time Series Forecasting

Sales, demand & stock prediction using ARIMA & Prophet

Customer Churn Prediction

End-to-end ML pipeline for telecom & SaaS retention

Recommendation Systems

Collaborative & content-based filtering for e-commerce

Anomaly Detection in IoT

Detect sensor faults & outliers in industrial IoT streams

Deep learning computer vision neural network
Category 02

Deep Learning & Computer Vision

Train CNNs and vision transformers to solve real-world image and video problems—from retail to healthcare.

4 Project Tracks

Image Classification with CNNs

Custom CNN & transfer learning on domain-specific images

Object Detection (YOLO)

Real-time detection for retail, traffic & safety use cases

Facial Recognition System

Face detection, embedding & verification pipeline

Medical Image Analysis

X-ray & scan classification with explainable AI

Natural language processing and large language models
Category 03

NLP & Large Language Models

Work with text, embeddings, and LLMs to build intelligent language applications used in support, search, and content.

4 Project Tracks

Sentiment Analysis Pipeline

Social media & review sentiment with BERT fine-tuning

Chatbot with RAG

Domain-specific Q&A over company documents & wikis

Document Summarization

Abstractive & extractive summarization for legal & news

Named Entity Recognition

Custom NER for finance, healthcare & legal entities

Generative AI and agentic systems development
Category 04

Generative AI & Agentic Systems

Go beyond prompts—build generative apps and autonomous agent workflows that mirror what startups ship today.

4 Project Tracks

AI Content Generation Platform

Blog, ad copy & image generation with guardrails

Multi-Agent Workflow Automation

Planner-executor-critic agents for business tasks

LLM Fine-Tuning Project

LoRA/QLoRA fine-tuning on domain-specific corpora

AI Code Assistant

Context-aware coding helper with repo indexing

MLOps cloud deployment and production AI systems
Category 05

MLOps & Production AI

Learn to take models from notebook to production—CI/CD, monitoring, and scalable inference on cloud infrastructure.

3 Project Tracks

End-to-End ML Pipeline on Cloud

Data ingestion, training, registry & deployment on AWS/GCP

Model Deployment with Docker & K8s

Containerized serving with auto-scaling & health checks

Real-Time Inference API

Low-latency REST/gRPC endpoints with monitoring & A/B testing

Choose Your Duration

Flexible plans—same project, scale up as you go deeper

1 Month

₹499

Foundation build & mentor reviews

3 Months

₹999

Advanced features + industry demo day

Apply for an Internship

20 project tracks · 5 domains · Rolling admissions

Learning Path

Ideate

Define product & users

Design

Architecture & UX

Build

Code & integrate AI

Deploy

Cloud & DevOps

Scale

Optimize & grow

The Shift Is Happening Now

AI Engineers will be in demand. Traditional software engineers who don't upskill risk being left behind.

7M

AI-fluent roles in 2025—up from 1M in 2023

59.9%

YoY growth in AI/ML Engineer job openings (Q3 2025)

−13%

Entry-level tech roles dropped; AI roles surged

AI/ML Architect openings doubled in one year

Routine coding is being commoditized by AI assistants. The jobs of tomorrow belong to developers who can design AI-native systems, orchestrate agents, and ship products that leverage LLMs, RAG, and MCP—not those who only write traditional code.

The window to upskill is open. Don't miss it.

ChatGPT Claude Gemini Copilot Vercel v0 Cursor
ChatGPT Claude Gemini Copilot Vercel v0 Cursor

Join the Next Cohort

Limited spots. Applications open quarterly.