• views: 47
• date: 28 August 2026
• posted by: voska89

AWS Agentic AI with Python

What you'll learn

⚡ Learn Architectures of AgentCore
⚡ Code using PyCharm IDE and Python Jupyter Notebooks and SDKs
⚡ Code using Strands, LangChain, LangGraph and CrewAI Frameworks
⚡ Run Agents Locally and in the AgentCore Runtime
⚡ Identity, Gateway, Runtime, Observabilty, Memory, Evaluations, Registry and Policies
⚡ Strands, Models, Tools and Memory
⚡ Inbound and outbound security using AgentCore

Requirements

❗ Basic Concepts of Bedrock amd Python Coding

Description

This AgentCore course uses Python, PyCharm, and Python Virtual environments to cover every aspect of Amazon Bedrock AgentCore in depth. You'll learn how to run agents locally while connecting to LLMs in the cloud, and how to deploy agents and multi-agent systems to AgentCore on AWS. The architecures are discussed for different frameworks and deployments,
The value of AgentCore lies in its runtime — giving you observability, the ability to evaluate your agents, reusable prompts, and the tools to define multi-agent systems that communicate with each other. Each demo in this course is built around learning Python and the core AgentCore APIs hands-on.
This is a thorough, architecture-focused development course, with 90% of the content dedicated to hands-on coding. You'll run notebooks, execute different cells, and observe outputs, while also learning how Docker and CloudFormation are used to deploy to AgentCore.
Once deployed, we'll explore the AWS console together, diving into observability features — examining traces and spans to identify performance bottlenecks and learn how to optimize your agent-based systems. While running these examples we use Claude Code to fix issues and successfully run the Python Notebook when necessary.
Customized Claude Code skills have been used to generate Q&A to help facilitate learning AgentCore.

Who this course is for

⭐ Begginers Learning Architecture and Development of Agentic AI Applications

Homepage

https://www.udemy.com/course/aws-agentcore-complete-course

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.