Generative AI Developer Course with Projects | Python + FastAPI + LLM

Hackforge Academy

Generative AI Application Developer Program

Build AI-Powered Applications using Python, FastAPI, Ollama, OpenAI, RAG & Vector Databases

Original Price ₹20099

Offer Price:15000

Why Learn Fullstack at HackForge?

Industry-focused Generative AI curriculum
Learn by building real-world AI applications
Hands-on Python & FastAPI development
Open Source LLMs using Ollama
OpenAI API integration
RAG and Vector Database implementation
Deployment to production
Portfolio-ready AI projects
Certificate after completion

Meet Your Trainer

Praveen Kumar

Python Fullstack Trainer specializing in Fastapi, GEN Ai,Ollama, Rag, and real-world project-based learning.

  • ✔ Industry-focused training
  • ✔ Project-based teaching approach
  • ✔ Interview preparation support
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Generative AI Application Developer Learning Roadmap

Module 1: Introduction to Artificial Intelligence

AI Fundamentals

Machine Learning

Deep Learning

Generative AI

LLMs

Module 2: Understanding Large Language Models

Tokens

Context Window

Temperature

Transformer Architecture

Hallucinations

Module 3: Prompt Engineering

Prompt Design

Zero-shot

Few-shot

Chain of Thought

JSON Output

Module 4: Running Local LLMs

Ollama Installation

Qwen

Llama

DeepSeek

Model Management

Module 5: FastAPI AI Applications

FastAPI

REST APIs

Streaming

Authentication

Deployment

Module 6: OpenAI APIs

Chat API

Responses API

Image Generation

Function Calling

Structured Outputs

Module 7: Vector Databases

Embeddings

ChromaDB

FAISS

Semantic Search

Indexing

Module 8: Retrieval-Augmented Generation

Chunking

Retrieval

Context Injection

Document QA

RAG Architecture

Module 9: AI Agents

Agent Basics

Tool Calling

Memory

MCP Introduction

Workflow Automation

Module 10: Real-world AI Projects

AI Chatbot

MCQ Generator

Resume Analyzer

Interview Assistant

Learning Assistant

Module 11: Deployment & Scaling

Docker

Nginx

Gunicorn

Production Deployment

Performance Optimization

Module 12: Capstone Project

Architecture Design

LLM Integration

RAG Integration

Deployment

Portfolio Presentation

What You Will Learn

Introduction to Generative AI

  • ✔ AI vs ML vs Deep Learning
  • ✔ Large Language Models
  • ✔ Transformer Basics
  • ✔ Prompt Engineering
  • ✔ Open Source vs Commercial Models

Prompt Engineering

  • ✔ Zero-shot Prompting
  • ✔ Few-shot Prompting
  • ✔ Chain of Thought
  • ✔ Role Prompting
  • ✔ Structured JSON Outputs

LLMs using Ollama

  • ✔ Installing Ollama
  • ✔ Managing Models
  • ✔ Running Local LLMs
  • ✔ Ollama Python Library
  • ✔ Performance Optimization

FastAPI AI Backend

  • ✔ FastAPI
  • ✔ REST APIs
  • ✔ Streaming Responses
  • ✔ Background Tasks
  • ✔ Authentication

Embeddings & Vector Databases

  • ✔ Embeddings
  • ✔ ChromaDB
  • ✔ FAISS
  • ✔ Similarity Search
  • ✔ Metadata Filtering

Retrieval-Augmented Generation (RAG)

  • ✔ Document Processing
  • ✔ Chunking
  • ✔ Embedding Generation
  • ✔ Vector Search
  • ✔ AI Question Answering

Deployment

  • ✔ Docker
  • ✔ Gunicorn
  • ✔ Nginx
  • ✔ Cloud Deployment
  • ✔ Production Best Practices

Technologies Covered ⚙️

Python
FastAPI
Ollama
OpenAI APIs
Qwen
Llama
ChromaDB
FAISS
LangChain
MongoDB
SQLAlchemy
JWT
Docker
Git & GitHub
Nginx
AWS / VPS Deployment

Who This Course Is For

✔ Python Developers

✔ Java Full Stack Developers

✔ Backend Developers

✔ Software Engineers

✔ College Students

✔ Working Professionals

✔ Anyone interested in building AI applications

Real Projects You Will Build 💼

AI Chatbot
AI Coding Assistant
AI MCQ Generator
AI Interview Question Generator
AI Resume Analyzer
AI Blog Generator
AI Document Chat (RAG)
AI PDF Question Answering System
AI Learning Assistant
Production AI Capstone Project

Frequently Asked Questions

Do I need AI knowledge before joining?
No. Basic Python programming knowledge is sufficient.

Will OpenAI APIs be covered?
Yes. OpenAI API integration and best practices are included.

Will local LLMs be covered?
Yes. You will learn Ollama and open-source models like Qwen and Llama.

Will RAG be covered?
Yes. Students will build Retrieval-Augmented Generation applications using vector databases.

Is this course project-based?
Yes. Multiple real-world AI applications will be built during the course.