| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Intro – The AnyCompany Coffee Shop Vision | |||
| 1. Introduction.mp4 | 36.2 MB | ||
| 2 - Business Value – From Ideation to ROI | |||
| 2. Business Value – From Ideation to ROI.mp4 | 78 MB | ||
| 3 - Setting the Foundation | |||
| 3. Installing Dependencies – Building the Dev Environment.mp4 | 123.1 MB | ||
| 4 - Uploading Data – The Data Strategy Pillar | |||
| 4. Uploading Data – The Data Strategy Pillar.mp4 | 66.4 MB | ||
| 5 - Implementing the Agentic Loop | |||
| 5. Making Knowledge Bases & RAG – The Brain of the Agent.mp4 | 97.7 MB | ||
| 6 - Deploy AI Agent – The Local Multi-Agent POC | |||
| 6. Deploy AI Agent – The Local Multi-Agent POC.mp4 | 142.6 MB | ||
| 7 - Scaling to Production | |||
| 7. AgentCore Deploy – The Serverless Future.mp4 | 95.2 MB |
Build Production-Grade Multi-Agent AI on AWS in 60 Minutes
https://WebToolTip.com
Published 8/2026
Created by Suryansh Gupta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 8m ) | Size: 639.2 MB
Build Multi-Agent AI Systems: Master RAG, Agentcore, and ROI Modeling with Bedrock & Strands SDK for Production.
What you'll learn
⚡ Model the business value and ROI of AI agent projects using interactive Streamlit dashboards to justify investment and track performance
⚡ Integrate production-grade AWS data sources like DynamoDB and Aurora MySQL to serve as differentiators for specialized AI agents
⚡ Build RAG-enabled applications using Amazon Bedrock Knowledge Bases and OpenSearch Serverless for accurate, policy-compliant AI responses
⚡ Develop a Multi-Agent Collaboration (MAC) system with the Strands SDK, featuring a supervisor agent orchestrating specialized sub-agents
Requirements
❗ Basic proficiency in Python programming, as you will use the Strands SDK and Streamlit framework to build the agentic loop
❗ A fundamental understanding of AWS cloud services (such as S3, DynamoDB, and IAM) and basic Generative AI concepts like Large Language Models
❗ Access to an AWS environment to provision Bedrock Knowledge Bases, OpenSearch collections, and database clusters
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| 3.3 GB | freecoursewb | 8 hours | 0 | 0 | |
| 2.6 GB | freecoursewb | 2 weeks | 13 | 5 | |
| 1.8 GB | freecoursewb | 2 weeks | 13 | 1 | |
| 912.8 MB | freecoursewb | 2 weeks | 0 | 0 | |
| 3.5 GB | freecoursewb | 2 weeks | 21 | 4 |
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