Udemy - Building Multimodal AI with RAG and Context Engineering
About Udemy - Building Multimodal AI with RAG and Context Engineering
Overview
Building Multimodal AI with RAG & Context Engineering https://WebToolTip.com Published 7/2026 Created by Christ Raharja MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 50m ) | Size: 3.5 GB Learn how to build multimodal AI systems using retrieval augmented generation, vector database and context engineering What you'll learn ⚡ Learn the basic fundamentals of multimodal AI, RAG, and context engineer
Frequently Asked Questions
How do I download Udemy - Building Multimodal AI with RAG and Context Engineering?
Click the magnet or torrent download button on this page to start downloading Udemy - Building Multimodal AI with RAG and Context Engineering. A BitTorrent client is required.
What is the file size of Udemy - Building Multimodal AI with RAG and Context Engineering?
The total size of Udemy - Building Multimodal AI with RAG and Context Engineering is 3.4 GB.
How many seeders are available for Udemy - Building Multimodal AI with RAG and Context Engineering?
Udemy - Building Multimodal AI with RAG and Context Engineering currently has 26861 seeders, which affects download speed.
What category is Udemy - Building Multimodal AI with RAG and Context Engineering in?
Udemy - Building Multimodal AI with RAG and Context Engineering is listed under Other on 1337x.
Building Multimodal AI with RAG & Context Engineering
https://WebToolTip.com
Published 7/2026
Created by Christ Raharja
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 50m ) | Size: 3.5 GB
Learn how to build multimodal AI systems using retrieval augmented generation, vector database and context engineering
What you'll learn
⚡ Learn the basic fundamentals of multimodal AI, RAG, and context engineering
⚡ Learn how to build meeting intelligence multimodal AI assistant
⚡ Learn how to build real estate property valuation multimodal AI assistant
⚡ Learn how to build food quality inspection multimodal AI assistant
⚡ Learn how to connect your system to LLM API like Mistral, Gemini, Open Router, Groq, and Github
⚡ Learn how to connect LLM to Pinecone vector database
⚡ Learn how to connect LLM to Chroma vector database
⚡ Learn how to perform basic semantic search
⚡ Learn how to perform metadata filtering
⚡ Learn how to conduct multi query retrieval
⚡ Learn how to build and design simple user interface using Gradio
Requirements
❗ No previous experience in multimodal AI is required
❗ Basic knowledge in Python and AI development