AWS Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition)
Implementing RAG with Amazon Bedrock and Amazon Titan
A walkthrough showing how to build a RAG system using Amazon Bedrock / Titan, with context retrieval and generation, including integrating with vector search stores (e.g. OpenSearch) and relevant preprocessing.
Duration: 21:33 Minutes
Channel: Amazon Web Services
Course Playlist
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Project 1: Setting up AWS Account and IAM for ML9 Minutes -
Project 2: End-to-End Machine Learning Pipeline on AWS SageMaker13 Minutes -
Project 3: RAG-powered Intelligent Search Assistant with Bedrock + OpenSearch20 Minutes -
Project 4: AI Agentic Workflow using Bedrock Agents + Kiro IDE + Amazon Q22 Minutes