Course Duration
1 Day

Amazon
Authorized Training

IT

Course cost:
was £1,150 + VAT
£1,035 + VAT

IT Certification Overview

This course is a gamified, team-based event where participants compete to solve hands-on challenges using AWS services. Learners develop, enhance, and validate their skills in building production-ready multi-agent systems with Amazon Bedrock AgentCore. The course focuses on real-world scenarios, including operational and troubleshooting tasks, and encourages exploration of different approaches to deploying advanced agentic AI solutions.

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Prerequisites

Participants should have:

  • Agentic AI Foundations
  • Building Agentic AI with Amazon Bedrock AgentCore

Target audience

This course is designed for:

  • Software developers seeking advanced knowledge for building production agentic AI systems
  • Technical professionals exploring AI capabilities and interested in building advanced agentic AI systems
  • Development teams building advanced agentic AI solutions

Learning Objectives

By the end of this course, learners will be able to:

  • Solve real-world challenges using AWS services and tools
  • Apply multi-agent communication patterns and context optimisation techniques
  • Configure security and policy-based access controls for agentic AI systems
  • Monitor and govern advanced agentic AI solutions
  • Build and troubleshoot production-ready multi-agent systems with Amazon Bedrock AgentCore
  • Collaborate effectively in team-based problem solving
  • Explore and integrate various AWS services in agentic AI scenarios

AWS Jam - Building Advanced Agentic Systems on AWS Course Content

AI-based compliance drift detection

  • Detect, analyse, and remediate compliance drift using AWS Config and generative AI audit reporting

AI-powered incident triage and root cause assistant

  • Build an AI-powered incident triage system using Amazon CloudWatch and Amazon Bedrock AgentCore for root cause analysis

AI-powered security findings deduplication and prioritisation

  • Deduplicate and prioritise security findings using Amazon Bedrock AgentCore Gateway, Runtime, and Memory

Code review copilot: GenAI meets GitOps

  • Build an event-driven AI code review pipeline using Amazon EventBridge, AWS Lambda, and Amazon Bedrock AgentCore

Debug the enterprise AI agent: From broken to brilliant

  • Learn about Strands and AgentCore Runtime, Memory, and Gateway while fixing progressive challenges

Factory blackout: AI agents control a production line

  • Operate Amazon Bedrock AgentCore agents to safely diagnose and recover a stopped manufacturing line

Mission A2A: From solo to symphony

  • Master Amazon Bedrock AgentCore through agent migration, A2A communication, and multi-agent orchestration

Securing AI agents with Amazon Bedrock Guardrails

  • Implement multi-layered security controls for an AI-powered customer service assistant

The agent will see you now

  • Build production AI agents for insurance claims using Amazon Bedrock AgentCore, Lambda, and DynamoDB

The underwriting agent: AI-powered risk assessment and fraud detection

  • Build an AI underwriting agent using the Strands Agents SDK for risk assessment and fraud detection

Thermal recall: Pit stop for AI

  • Repair a broken AI-powered battery safety pipeline using IoT Core, Lambda, SNS, and an MCP-based agent architecture

Trust but verify: Shipping a governed AI agent

  • Fix a blocked GA launch by hardening a misconfigured AgentCore Gateway and proving guardrails hold end-to-end

Exams and assessments

There is no specific certification associated with this course.

Hands-on learning

Participants engage in team-based, gamified challenges in a real AWS environment, applying their learning to solve practical problems and build advanced agentic AI systems.

Upcoming Dates

Dates and locations are available on request. Please contact us for the latest schedule.

Advance Your Career with AWS Jam - Building Advanced Agentic Systems on AWS

Gain the skills you need to succeed. Enrol in AWS Jam - Building Advanced Agentic Systems on AWS with Newto Training today.