Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 14 Minute(s)
Language
English
Rating
Course Overview
Deploy Agentic AI in Production with Amazon Bedrock AgentCore, AWS, and the OpenAI Agents SDK
Tired of building AI prototypes that never make it to production?
You’re not alone. Many engineers can build impressive agentic AI demos—but hitting a wall when trying to scale those systems into production is common.
This course solves that problem.
You’ll learn how to use Amazon Bedrock AgentCore—part of AWS’s cutting-edge generative AI stack—to deploy real, secure, scalable agent systems. You’ll take a working OpenAI Agents SDK project and transform it into a production-grade service, using AgentCore’s built-in memory, identity, tools, and observability features.
By the end of this course, you won’t just understand agentic AI—you’ll have deployed one.
What You’ll Learn
How to use Amazon AgentCore to host your AI agents serverlessly in production
Add memory to your agents (short-term and long-term)
Handle user identity and secure authentication in agent workflows
Integrate real tools, APIs, and third-party data using Bedrock’s Gateways
Monitor and debug agents using AgentCore’s observability features
Build trust in your agent with Policies and Evaluators
Build a complete hands-on agentic AI project using the OpenAI Agents SDK
Why Amazon AgentCore?
Amazon Bedrock AgentCore provides a serverless runtime purpose-built for agentic AI. It handles scaling, security, and tool integrations so you don’t have to. With first-class support in AWS, it’s the fastest way to take your generative AI project from experiment to enterprise.
Who This Course Is For
AI engineers and developers who’ve built agent prototypes—but haven’t shipped them
ML practitioners ready to operationalize generative AI
Software engineers looking to upskill in AWS AI tools and infrastructure
Builders who want hands-on, project-based experience with agent systems in production
If you’ve been exploring agentic AI or the OpenAI Agents SDK, this course will show you how to make it real—on a secure, scalable production stack.
About the Instructor
Hi, I’m Frank Kane. I spent 9 years at Amazon and IMDb, where I helped build and lead the AI systems behind some of the most-visited websites on the planet.
Since leaving Amazon, I’ve taught over one million students around the world how to succeed in machine learning and data science through Sundog Education.
This course brings my real-world engineering experience at Amazon together with today’s most powerful agentic AI tools—so you can stop prototyping and start deploying.
What You'll Walk Away With
By the end, you’ll have:
A working, full-featured agentic AI system deployed with Amazon AgentCore
The confidence to scale, monitor, and maintain your own production agents
Practical experience that applies directly to your work or portfolio
Please Note:
Following along hands-on with the project in this course requires an OpenAI developer account and an AWS account, as well as a Python development environment. Total costs should not exceed a few dollars, or you can just watch the videos without incurring any cloud costs.
Course Content
- 8 section(s)
- 25 lecture(s)
- Section 1 Getting Started
- Section 2 The Amazon Bedrock AgentCore Runtime
- Section 3 Adding GenAI / AgentCore Observability and OAuth Authentication
- Section 4 Adding Short and Long-term Memory with AgentCore
- Section 5 AgentCore Built-In Tools, and Importing Bedrock Agents
- Section 6 Quick Overview: AgentCore Gateway and AgentCore Identity
- Section 7 Trusting your Agents: Policies and Evaluators
- Section 8 Wrapping Up
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.
Reviews
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CCody Piazza
Great crash course for learning about what AgentCore is and what is has to offer. Frank is well spoken and easy to follow along with.
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SSatheesh Kumar
good but i am looking for aws agent core amazon specific platform
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DDavid M.
Excellent course. It goes beyond simple LLM demos and clearly explains how to deploy agentic AI in production using Amazon Bedrock AgentCore and the OpenAI Agents SDK. A solid and production-oriented training — highly recommended.
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GGabriel Malta
Good explanation on how to use the AgentCore starter toolkit, covering many possibilities. However, I did miss some basic lectures about the fundamentals of agentic-AI development.
