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Professional Certificate in Full Stack Python Developer (Generative AI & LLMs)

A comprehensive professional program that combines modern full-stack web development with Generative AI and Large Language Models. Learn Python, React, FastAPI, PostgreSQL, MongoDB, JWT authentication, LangChain, ChromaDB, RAG, AI Agents, Ollama, Docker, CI/CD, and build production-ready AI SaaS applications and autonomous agentic workflows.

6 Months Duration
240 Hours
Online / Offline
Weekday Batch · Weekend Batch
PythonReactFastAPIPostgreSQLMongoDBTailwind CSSLangChainLangGraphChromaDBGemini APIDockerOllamaGitHub Actions

Course Overview

A comprehensive professional program that combines modern full-stack web development with Generative AI and Large Language Models. Learn Python, React, FastAPI, PostgreSQL, MongoDB, JWT authentication, LangChain, ChromaDB, RAG, AI Agents, Ollama, Docker, CI/CD, and build production-ready AI SaaS applications and autonomous agentic workflows. This course is designed to be practical and project-focused, ensuring you gain real, applicable skills rather than just theoretical knowledge.

Who Is This Course For?

Engineering students
Aspiring Full Stack Developers
Python developers entering AI
Software professionals
Entrepreneurs building AI products

Prerequisites

  • Basic computer knowledge
  • No prior full-stack experience required
  • Laptop with Windows, macOS, or Linux

What You Will Learn

Master Python programming with advanced OOP and modular development
Build responsive React applications with modern JavaScript and Tailwind CSS
Develop secure REST APIs using FastAPI, JWT, and OAuth2
Design relational and NoSQL databases using PostgreSQL and MongoDB
Create LLM applications with Gemini, LangChain, and structured outputs
Implement RAG systems using embeddings, ChromaDB, and semantic search
Build autonomous AI agents using LangGraph and CrewAI
Deploy production-ready AI SaaS applications using Docker and Render
Manage collaborative development using Git, GitHub, CI/CD, and automated testing

Complete Syllabus

  • Python Syntax & Variables
  • Data Types & Operators
  • Conditional Statements & Loops
  • Functions, Lambda, *args & **kwargs
  • Lists, Tuples, Sets & Dictionaries
  • Comprehensions
  • Modules & Packages
  • Object-Oriented Programming
  • Inheritance & Polymorphism
  • File Handling
  • Regular Expressions
  • Exception Handling
  • Virtual Environment & pip

Projects in This Course

Intelligent AI SaaS Platform
PDF Knowledge Chatbot (RAG)
Agentic AI Automation System
LLM-Powered Data Analysis Tool
Production Full Stack AI Web Application

Career Paths After This Course

Full Stack Python Developer
Generative AI Engineer
LLM Application Developer
AI Backend Developer
AI Solutions Engineer

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