Building Advanced Agentic Systems on AWS

In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering mulit-agent patterns, context optimization techniques, security configurations, and monitoring frameworks. You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.

Course objectives

This course includes presentations, hands-on lab, and group exercises.

In this course, learners will: 

  • Analyze scenarios that require multi-agent architectures.
  • Describe primary multi-agent communication patterns and their use cases.
  • Configure agent-as-tool patterns for production deployments.
  • Implement memory sharing using available platform capabilities.
  • Implement context management strategies for production workloads.
  • Design context compression and optimization mechanisms.
  • Optimize resource usage and cost management across multi-agent systems.
  • Configure policy-based access control using AgentCore Policy Engine.
  • Implement VPC integration for secure agent deployments.
  • Implement distributed tracing and monitoring across multi-agent systems.
  • Establish comprehensive agent evaluation frameworks.
  • Configure integration patterns for enterprise observability systems
  • Establish comprehensive audit trails and compliance monitoring.
  • Integrate agentic systems with production APIs and services.
  • Design deployment strategies for production environments.
  • Assess production readiness and establish continuous improvement processes.

Target Audience

  • Course level: Advanced (300)
  • Software developers seeking intermediate knowledge for building advanced agentic AI systems
  • Technical professionals exploring AI capabilities and interested in building advanced agentic AI systems.
  • Development teams building advanced agentic AI solutions.

Prerequisites

We recommend that attendees of this course have:

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

Module 1: Multi-Agent Architecture and Communications Patterns

  • Single agent limitations and multi-agent benefits
  • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 1: Building a Personal Budget Assistant with Strands Agents
  • Multi-agent communication patterns
  • Memory and state management
  • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 2: Building a Multi-Agent System for Complex Financial Analysis

Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore

Module 2: Context Engineering and Performance Optimization

  • Context as finite resource
  • Context optimization techniques
  • Tool design for context efficiency

Module 3: Security and Compliance Implementation

  • Production Identity and Access Management
  • VPC integration and network security

Module 4: Production Monitoring, Observability, and Evaluation

  • Monitoring architecture
  • AgentCore evaluation
  • Enterprise observability integration
  • Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 3: Deploying Production-Ready Agents with Amazon Bedrock AgentCore

Module 5: Well-Architected Agentic AI Systems

  • Applying the Well-Architected framework
  • Well-Architected deployment
  • Production readiness

Module 6: Course Wrap-up

  • Next steps and additional resources
  • Course summary

Practical information

Duration: 1 day
Price: 9.900
Language: English, Norwegian
Format: Can be delivered as an open course or as an in-house course

FAQ

Hva betyr “agentic systems”?
Agentic systems er intelligente systemer som kan oppfatte mål, planlegge handlinger og utføre oppgaver på egen hånd ved hjelp av AI-agentteknikker, ofte med tilgang til verktøy og API-er for å løse komplekse problemer.

Hva er forskjellen mellom dette kurset og grunnleggende agentic AI-kurs?
Dette kurset går dypere inn i avanserte teknikker for å bygge robuste, skalerbare agentbaserte løsninger på AWS, inkludert integrasjon med flere tjenester, forbedret sikkerhet, orchestrering og produksjonsklar drift.

Hvilke AWS-tjenester er relevante for kurset?
Kurset dekker typiske AWS-tjenester som Amazon Bedrock, Lambda, EventBridge, Step Functions, DynamoDB, API Gateway og andre komponenter som er relevante for å drifte og orkestrere avanserte agentiske systemer.

Trenger jeg erfaring med AWS for å ta dette kurset?
Ja, det anbefales at du har grunnleggende kjennskap til AWS, særlig IAM, Lambda og serverløse arkitekturer, for å få fullt utbytte av kurset.

Hvordan brukes agentic AI i praksis?
Agentic AI brukes til å automatisere oppgaver som krever beslutningstaking, arbeidsflytkoordinering, flertrinnsinteraksjon med data- og tjenestesystemer, og kan forbedre effektivitet og pålitelighet i løsninger som kundedialog, datarensing, analyse og intelligent automatisering.

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