Udemy – Multimodal RAG: AI Search & Recommender Systems with GPT-4 2024-11

Udemy – Multimodal RAG: AI Search & Recommender Systems with GPT-4 2024-11 Downloadly IRSpace

Apr 18, 2025 - 18:49 Updated: Aug 17, 2025 - 18:38

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Udemy – Multimodal RAG: AI Search & Recommender Systems with GPT-4 2024-11

Multimodal RAG: AI Search & Recommender Systems with GPT-4, This course will guide you through the process of building Multimodal Retrieval-Augmented Generation (RAG) systems that combine text and image data for advanced information retrieval and recommendations. In this hands-on course, you’ll learn how to leverage state-of-the-art tools such as GPT-4, CLIP, and ChromaDB to build AI systems capable of processing multimodal data—enhancing traditional search methods with the power of machine learning and embeddings. This course is designed to make advanced AI concepts accessible, with detailed, step-by-step instructions that guide you through each process—from generating embeddings to building complete AI systems. Basic Python knowledge and a curiosity for AI are all you need to get started. Understand the concept of Retrieval-Augmented Generation (RAG) and how to implement it for both text and image-based data. Learn how to construct search engines and recommender systems that can handle multimodal queries, using powerful AI models like GPT-4 and CLIP.

What you’ll learn

Understand and implement Retrieval-Augmented Generation (RAG) with multimodal data (text, images).
Build AI-powered search and recommender systems using GPT-4, CLIP, and ChromaDB.
Generate and utilize text and image embeddings to perform multimodal searches.
Develop interactive applications with Streamlit to handle user queries and provide AI-driven recommendations

Who this course is for

Aspiring AI Developers: Individuals looking to build AI-powered applications that integrate text and image data.
Data Scientists: Professionals aiming to enhance their skills in multimodal data processing and retrieval.
Machine Learning Engineers: Those seeking to implement advanced search and recommender systems using state-of-the-art models.

Specificatoin of Multimodal RAG: AI Search & Recommender Systems with GPT-4

Publisher : Udemy
Teacher : Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
Language : English
Level : Intermediate
Number of Course : 24
Duration : 1 hours and 35 minutes

Content of Multimodal RAG: AI Search & Recommender Systems with GPT-4

Requirements

Basic understanding of Python programming.
Familiarity with machine learning concepts (embeddings, vectors).
No prior experience with multimodal systems is needed, but knowledge of AI tools like GPT or CLIP will be helpful.
A computer with internet access and the ability to install Python libraries like Streamlit, OpenAI, and ChromaDB.