Generative AI Real world Projects in Python

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 requirementsExtracts relevant skills and contextAutomatically generates personalized, high-quality cold emailsThis project demonstrates how companies use open-source LLMs like LLaMA for sales automation and outreach. Project 2 : Text-to-SQL Generator using Google GeminiCreate an intelligent system that:Converts natural language questions into SQL queriesWorks on real database schemasEnables non-technical users to query databases using plain EnglishThis 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 GPTDevelop a multimodal AI pipeline that:Takes food images as inputExtracts food information using vision modelsRetrieves verified nutritional dataGenerates structured calorie, protein, fat, and carb insights using GPTThis project showcases end-to-end GenAI workflows, combining computer vision, retrieval-augmented generation (RAG), and LLM reasoning. What You Will Learn ? How to Build Generative AI projects in PythonCreate LLM apps using LangChainPrompt engineering techniques for reliable and accurate outputsBuilding RAG (Retrieval-Augmented Generation) systemsWorking with embeddings and vector databasesWork with ChatGPT, Google Gemini, and LLaMAWhy This Course Is Different ?

100% project-based learning Real industry-style use cases (not toy examples) Multiple LLM providers: OpenAI, Google Gemini, LLaMA Focus on end-to-end GenAI system design Portfolio-ready projects for interviewsBy completing this course, you won’t just understand Generative AI —you’ll know how to build, apply, and explain GenAI solutions confidently in real-world scenarios. Enroll now and start building production-ready Generative AI applications.