Udemy – Generative AI Real world Projects: Build End-to-End LLM Apps

Udemy – Generative AI Real world Projects: Build End-to-End LLM Apps

File Name:Generative AI Real world Projects: Build End-to-End LLM Apps
Content Source:https://www.udemy.com/course/generative-ai-real-world-projects-build-end-to-end-llm-apps/
Genre / Category:Ai Courses
File Size :2.8 GB
Publisher:Shan Singh
Updated and Published:January 6, 2026
Product Details

This Generative AI project based course is designed to help you build real-world LLM applications end to end, using industry-leading models like LLaMA, Google Gemini, and OpenAI GPT.. Instead of focusing on theory alone, this course follows a hands-on, practical approach, where you will design, develop, and deploy 3 production-style GenAI projects that mirror real industry use cases. 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 (Real-World Projects) :

Project 1 : Cold Email Generator using LLaMA 3.3

Build 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, and carb insights using GPT

This project showcases end-to-end GenAI workflows, combining computer vision, retrieval-augmented generation (RAG), and LLM reasoning.

DOWNLOAD LINK: Generative AI Real world Projects: Build End-to-End LLM Apps

Generative_AI_Real_world_Projects_Build_End_to_End_LLM_Apps.part1.rar – 1000.0 MB
Generative_AI_Real_world_Projects_Build_End_to_End_LLM_Apps.part2.rar – 1000.0 MB
Generative_AI_Real_world_Projects_Build_End_to_End_LLM_Apps.part3.rar – 814.0 MB

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