Udemy - Amazon Agentcore - Scale Your Agentic AI To Production

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.9 GB
  • Uploaded Byfreecoursewb
  • Downloads63
  • Last checkedSep. 30th '25
  • Date uploadedSep. 26th '25
  • Seeders 2
  • Leechers12

Infohash : F27B401CDCB43AB5AA4175FF844137ABB3FDC7FE

Amazon Agentcore: Scale Your Agentic AI To Production

https://WebToolTip.com

Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.91 GB | Duration: 1h 52m

Deploy Agentic AI in Production with Amazon Bedrock AgentCore, AWS, and the OpenAI Agents SDK

What you'll learn
Deploy an agentic AI application into production using Amazon Bedrock AgentCore on AWS, managing serverless runtime, scaling, and reliability.
Implement authentication and identity management for agents to ensure secure access, user verification, and proper credentials in real‑world scenarios.
Add both short‑term and long‑term memory to agents to improve context awareness, persistence, and user experience over time.
Integrate external tools, APIs, and third‑party data sources via Gateways, and leverage the OpenAI Agents SDK for orchestrating tool usage.
Monitor, observe, and debug your agentic systems using AgentCore’s observability features, log metrics, and performance dashboards in production.
Understand best practices and design patterns for deploying generative AI systems securely and efficiently with Amazon AgentCore and Bedrock.

Requirements
Familiarity with Python programming
Experience in developing with agentic AI frameworks
Basic familiarity with AWS and the AWS console
Hands-on activities require an OpenAI account, an AWS account, and a Python development environment

Files:

[ WebToolTip.com ] Udemy - Amazon Agentcore - Scale Your Agentic AI To Production
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Getting Started
    • 1 - Introduction to Amazon Bedrock AgentCore.mp4 (131.0 MB)
    • 2 - Course materials.txt (0.1 KB)
    • 2 - Course slides.txt (0.1 KB)
    • 2 - Get the Course Materials.html (0.9 KB)
    • 3 - Introducing our Sample Agentic AI App with the OpenAI Agents SDK.mp4 (10.0 MB)
    • 4 - Activity Installing our Prerequisites OpenAI API key AWS CLI Python env.mp4 (165.2 MB)
    • 5 - Activity Running our Sample Agentic AI Application outside of Bedrock.mp4 (273.1 MB)
    2 - The Amazon Bedrock AgentCore Runtime
    • 10 - Activity Running our AgentCore app from a client script.mp4 (100.5 MB)
    • 6 - Introducing the Amazon Bedrock AgentCore Runtime.mp4 (53.9 MB)
    • 7 - Activity Running our AgentCore application locally.mp4 (92.1 MB)
    • 8 - Activity Deploying our Agentic AI app to the serverless cloud with AgentCore.mp4 (73.5 MB)
    • 9 - Activity Running our AgentCore app using the Starter Toolkit.mp4 (53.9 MB)
    3 - Adding GenAI AgentCore Observability and OAuth Authentication
    • 11 - Activity AgentCore Observability and CloudWatch integration.mp4 (49.2 MB)
    • 12 - Agentic AI systems a quick review.mp4 (56.4 MB)
    • 13 - Inbound and outbound OAuth integration with Cognito and AgentCore.mp4 (11.2 MB)
    • 14 - Activity Implementing inbound OAuth authorization with AgentCore and Cognito.mp4 (102.4 MB)
    4 - Adding Short and Longterm Memory with AgentCore
    • 15 - Shortterm memory and longterm memory in agentic AI systems and AgentCore.mp4 (17.6 MB)
    • 16 - Activity Integrating shortterm memory from AgentCore with OpenAI Agents.mp4 (273.4 MB)
    5 - AgentCore BuiltIn Tools and Importing Bedrock Agents
    • 17 - Activity Amazon Bedrock AgentCore Tools and integrating the code interpreter.mp4 (75.1 MB)
    • 18 - Activity Importing Amazon Bedrock Agents S3 vectors into AgentCore projects.mp4 (339.5 MB)
    6 - Quick Overview AgentCore Gateway and AgentCore Identity
    • 19 - Introducing Amazon Bedrock AgentCore Gateway.mp4 (7.6 MB)
    • 20 - Introducing Amazon Bedrock AgentCore Identity.mp4 (73.0 MB)
    7 - Wrapping Up
    • 1 - Final assessment.html (0.0 KB)
    • 21 - Bonus lecture.html (9.4 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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