Udemy – Build End-to-End GenAI Project: Travel AI Agent with Python 2025-8

Description

Build End-to-End GenAI Project: Travel AI Agent with Python. This comprehensive course teaches you how to build and deploy a complete travel AI agent with Python. You will build a real-world generative AI application from start to finish using the Retrieval-Generation (RAG) technique. The agent can process the content of travel guides in PDF files, convert them to Embeddings, store them in a vector database like Qdrant, and then intelligently retrieve information to answer users’ questions accurately. Along the way, you will learn how to build a beautiful, interactive frontend with Streamlit, and implement a powerful backend with multiple endpoints for file uploads and question answering using the FastAPI framework. You will also learn how to integrate large language models like OpenAI or Hugging Face, and manage API keys. Finally, you deploy the entire application, including front-end and back-end, on cloud platforms such as Railway and Streamlit Cloud. This course provides you with a deep understanding of the complete development lifecycle of an AI project, from project setup and modular structure to data ingestion, embedding generation, RAG pipeline implementation, and final deployment, empowering you to build real, production-ready applications.

What you will learn

• Building a complete GenAI program (End-to-End) from scratch using Python.
• Understand and implement the steps of Document Ingestion, Text Chunking, and Embeddings generation.
• Implementing Recovery-Based Generation (RAG) pipelines using OpenAI or Hugging Face models.
• Learn how to manage environment variables, configurations, and structure production-ready GenAI projects.

This course is suitable for people who:

• Students and beginners curious about AI applications, even with limited prior AI experience.
• Aspiring GenAI engineers looking to learn Retrieval-Based Generation (RAG), Embeddings, and Vector Databases through hands-on implementation.
• Python developers and programmers who want to gain hands-on experience with GenAI by building a real-world project.
• Indie Hackers, startup founders, or no-code creators who want to build and deploy their own AI assistant or product idea.

Course details

• Publisher: Udemy
• Instructor: Sharath Raju
• Training level: Beginner to advanced
• Training duration: 1 hour and 23 minutes
• Number of lessons: 13

Course syllabus as of 2025/10

Prerequisites for the Build End-to-End GenAI Project: Travel AI Agent with Python course

• A computer with internet access and permission to install Python packages.
• Curiosity to build and deploy AI-powered applications from scratch.

Course images

Sample course video

Download link

Downloadly

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Rapidgator link

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File size

626 MB