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Development + AI · Course

Full Stack Python + Gen AI

Build powerful full-stack applications with Python, modern APIs, and generative AI.

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✓18 weeks✓Live + project-based✓Job-ready portfolio
Program overview

Build skills
that compound.

Build complete web products with React, Python and FastAPI, then make them intelligent with LLM APIs, embeddings, RAG and production AI architecture.

  • ✓Live, instructor-led sessions
  • ✓A real project after every module
  • ✓1:1 mentorship and code reviews
  • ✓Career and interview preparation
The syllabus / 6 months

A clear path from
first principles to shipped work.

Each month combines focused modules with a project that turns new skills into something real.

01

Web, Python & Programming Fundamentals

Web development

  • Web architecture
  • HTML5
  • CSS3
  • Responsive layouts
  • HTTP and REST fundamentals

Python

  • Syntax and data types
  • Functions and collections
  • Files and exceptions
  • Packages, pip and virtual environments
  • Object-oriented Python
PROJECTResponsive Business Website plus practical Python programming exercises.
02

React.js + TypeScript Frontend

React

  • Vite, JSX and components
  • Props, state and hooks
  • Forms and validation
  • Routing and protected routes

TypeScript + UI

  • Types and interfaces
  • Generics
  • Redux Toolkit
  • Dashboards, tables, charts and notifications
PROJECTReact Admin Dashboard with authentication, management screens, search, filters and pagination.
03

Python Backend + FastAPI

FastAPI

  • Routes and project structure
  • Pydantic models
  • Validation and dependency injection
  • Middleware and OpenAPI docs

Auth & API security

  • JWT access and refresh tokens
  • Roles and permissions
  • Password reset and email verification
  • CORS, rate limiting and OWASP basics
PROJECTUser Management & Authentication API with registration, login, roles and admin endpoints.
04

PostgreSQL & Full-Stack Integration

PostgreSQL

  • Relational design
  • SQL and joins
  • Normalization and indexes
  • Transactions and query optimization

SQLAlchemy + integration

  • Models and migrations
  • CRUD and relationships
  • React to FastAPI to PostgreSQL
  • Uploads, search and pagination
PROJECTBusiness Management SaaS such as CRM, HRMS, inventory or expense management.
05

Generative AI Applications

LLM foundations

  • Tokens and context windows
  • Prompt engineering
  • OpenAI and Gemini APIs
  • Streaming and structured output

Embeddings + RAG

  • Semantic search
  • Document ingestion and chunking
  • Vector storage with pgvector
  • Retrieval and context injection
PROJECTAI Knowledge Assistant with document upload, RAG chat, conversation history and source references.
06

Advanced AI, Deployment & Capstone

AI engineering

  • Tool calling
  • AI workflows and memory
  • Evaluation and hallucination reduction
  • AI safety and business automation

Production

  • Docker and Compose
  • Testing and debugging
  • FastAPI deployment
  • PostgreSQL security, backups and HTTPS
PROJECTAI-Powered SaaS capstone with React, FastAPI, PostgreSQL, authentication, RAG, Docker and deployment.
Your toolkit

Technology
you will use.

React.jsTypeScriptPythonFastAPIPostgreSQLSQLAlchemyAlembicOpenAIGoogle GeminiEmbeddingsRAGpgvectorDockerGit + GitHub
Career outcomes

Ready for your
next role.

01AI Full Stack Developer
02Full Stack Python Developer
03FastAPI Developer
04AI Application Developer
05RAG Application Developer
06Junior AI Engineer
Project portfolio

Leave with proof,
not just notes.

01Responsive Business Website
02React Admin Dashboard
03FastAPI Authentication System
04Full Stack Business SaaS
05AI RAG Knowledge Assistant
06AI-Powered SaaS Capstone