Programs

Two programs. One clear path.

Start with the Smart Notes Assistant and build your first AI-powered application from scratch. Continue into Agentic AI Application Development and build production-grade intelligent systems using RAG, LangChain, and LangGraph.

Apply — September 2026 → View curriculum
Program 1 · Founding Cohort · September 2026

Smart Notes Assistant

Build a complete AI-powered notes application from scratch — week by week. Learn web fundamentals, backend APIs, database integration, and AI summarization in one structured, beginner-friendly program. No prior programming experience required.

Beginner-friendly 12 weeks Live weekend cohort Portfolio project Founding cohort rate
  • How modern web applications work (frontend + backend)
  • HTML, CSS, and responsive design fundamentals
  • JavaScript fundamentals and DOM interaction
  • Building interactive web applications
  • Python fundamentals for backend development
  • APIs using FastAPI
  • Working with JSON data
  • Database integration using SQLite
  • AI integration using real-world APIs
  • Building and improving a complete application step by step
  • Build a responsive web interface
  • Create interactive JavaScript features
  • Build and connect backend APIs using FastAPI
  • Store and retrieve notes using a simple database
  • Build a Smart Notes Assistant (final project)
  • Organize and upload your project to GitHub

Development Environment

  • VS Code / Cursor
  • Chrome DevTools

Frontend

  • HTML, CSS, JavaScript

Backend & Data

  • Python
  • FastAPI
  • SQLite
  • JSON data handling

AI & Deployment

  • OpenAI API (or similar AI providers)
  • GitHub (project hosting)

Technical skills

HTMLCSSJavaScript DOM ManipulationPythonFastAPI APIsJSONSQLite

Professional skills

Problem SolvingDebugging Code OrganizationDocumentation Reading

Career skills

Full Stack Project DevelopmentGitHub Portfolio Building Real-World Workflow
  • Build a real Smart Notes Assistant application
  • Gain confidence in full-stack development
  • Create a portfolio-ready project on GitHub
  • Understand how modern applications are built
  • Learn how to integrate AI into real products
  • Be ready to continue building your own applications
Apply — September 2026 → View curriculum
Program 2 · Founding Cohort · January 2027

Agentic AI Application Development

Build a production-ready AI Document Assistant from scratch — no prior programming experience required. Learn Python, FastAPI, RAG, ChromaDB, LangChain, LangGraph, and multi-agent systems by building one real application, week by week, over 12 weeks.

No prior programming experience required. Completing the Smart Notes Assistant program is ideal preparation — but not required.

Beginner-friendly 12 weeks Live weekend cohort 1 portfolio project Founding cohort rate
  • Python fundamentals — variables, functions, lists, loops, file handling
  • FastAPI — REST APIs, GET & POST endpoints, request validation, JSON
  • LLM fundamentals — how LLMs work, tokens, context windows, temperature
  • Prompt engineering — system prompts, user prompts, prompt templates
  • RAG — chunking, embeddings, retrieval, grounded responses
  • ChromaDB — vector databases, collections, similarity search, indexing
  • LangChain — prompt templates, chains, output parsers, document workflows
  • Streamlit — layouts, file upload, chat interface, session state
  • LangGraph — nodes, edges, state, conditional routing, agent orchestration
  • Deployment — Railway, GitHub portfolio, production readiness
  • One application, built week by week — AI Document Assistant
  • PDF & text document upload and intelligent document processing
  • AI-powered summaries using OpenAI and prompt engineering
  • Context-aware question answering with RAG
  • Semantic search with ChromaDB
  • Summarization Agent, Document Q&A Agent, and Document Analysis Agent
  • LangGraph-based Agent Orchestrator that routes requests to the right agent
  • Modern Streamlit interface
  • Live deployment on Railway
  • GitHub portfolio project with documentation and README

Development

  • Python
  • FastAPI
  • Streamlit
  • SQLite

AI

  • OpenAI
  • Prompt Engineering

Retrieval

  • ChromaDB
  • Retrieval-Augmented Generation (RAG)

Frameworks

  • LangChain
  • LangGraph

Deployment

  • Railway
  • Git & GitHub

Technical skills

PythonFastAPIStreamlit OpenAI APIPrompt EngineeringRAG ChromaDBLangChainLangGraph AI AgentsAgent OrchestrationRailway Deployment

Professional skills

AI Application ArchitectureProblem Solving DebuggingDocumentationGitHub Portfolio

Career skills

Production AI ApplicationLive Deployed App Portfolio ProjectInterview Ready
  • Build a production-ready AI Document Assistant from scratch
  • Deploy a live application on Railway with a public URL
  • Implement RAG with ChromaDB for intelligent document retrieval
  • Build and orchestrate multiple AI agents using LangGraph
  • Publish a polished GitHub portfolio project with documentation
  • Gain practical experience with Python, FastAPI, Streamlit, OpenAI, ChromaDB, LangChain and LangGraph
  • Build confidence to continue building your own AI applications
Apply — January 2027 → View curriculum
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