Udemy - Building Multimodal AI with RAG and Context Engineering

Category: Other
Type: Tutorials
Language: English
Total Size: 3.4 GB
Uploaded By: freecoursewb
Downloads: 46412
Last checked: Jul. 24th '26
Date uploaded: Jul. 24th '26
Seeders: 26861
Leechers: 10549
MAGNET DOWNLOAD
INFO HASH: A662E5E42DF6C08AFD644C35AD328F2590BB9D6C

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