Generative AI Real world Projects in Python

About this course

Learn Generative AI by solving Generative AI projects.

Build practical LLM applications using LangChain + RAG, work with Vector Databases, and integrate ChatGPT, Gemini & LLaMA in production-style workflows.

By the end of this course, you will have a strong Generative AI project portfolio, real experience working with LLM APIs, RAG systems, and vector databases, and a clear understanding of how modern AI-powered products are built and deployed in real-world environments.

What You Will Build (Generative AI Real-World Projects) :Project 1 : Cold Email Generator using LLaMA 3.3Build an AI-powered cold email generator that:

• Analyzes job descriptions or business requirements
• Extracts relevant skills and context
• Automatically generates personalized, high-quality cold emails

This project demonstrates how companies use open-source LLMs like LLaMA for sales automation and outreach. Project 2 : Text-to-SQL Generator using Google Gemini

Create an intelligent system that:

• Converts natural language questions into SQL queries
• Works on real database schemas
• Enables non-technical users to query databases using plain English
• This project reflects real enterprise use cases in data analytics, business intelligence (BI), and AI-driven decision-making systems.
• Project 3 : Food Calorie Detector using OpenAI GPT

Develop a multimodal AI pipeline that:

• Takes food images as input
• Extracts food information using vision models
• Retrieves verified nutritional data
• Generates structured calorie, protein, fat,

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