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Building Advanced Agentic Systems on AWS



Building Advanced Agentic Systems on AWS

Please find our upcoming course dates at the end of this page!

Course description

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

In this course, you will learn to:

  • 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.

INTENDED AUDIENCE

This course is intended for:

  • 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:

    ACTIVITIES

    This course includes:

    • Presentations
    • Hands-on lab,
    • Group exercises

    COURSE DURATION / PRICE

    • 1 day
    • € 750.00 (excl. tax) per person (DE)

    Course outline

    Day 1

    • 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
    • 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

    IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

    Course materials are in English, on request also in German (if available).
    The Course language is German, on request also in English.


    Neue Termine in Planung!

    Continue reading

    Building Agentic AI with Amazon Bedrock AgentCore



    Building Agentic AI with Amazon Bedrock AgentCore

    Please find our upcoming course dates at the end of this page!

    Course description

    In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Strands Agents SDK, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

    COURSE OBJECTIVES

    In this course, you will learn to:

    • Define agentic AI characteristics and differentiate them from traditional AI systems.
    • Identify the core agent components and their interactions.
    • Describe how Bedrock AgentCore services support agentic AI.
    • Deploy agents by using supported frameworks with AgentCore Runtime.
    • Describe the core features of AgentCore Runtime.
    • Configure serverless execution with session isolation.
    • Configure AgentCore Identity for enterprise security requirements.
    • Create policies to secure agent tool calls using AgentCore Policy.
    • Implement secure token management and permission delegation.
    • Ensure compliance with data governance and audit requirements.
    • Implement different tool integration patterns, including built-in tools and protocol-based tools.
    • Design and deploy Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
    • Describe common authentication patterns for agent tool use.
    • Configure AgentCore Gateway components for secure and authorized tool access.
    • Implement agentic memory patterns for different use cases.
    • Configure AgentCore Memory operations for context-aware development.
    • Optimize memory performance for production workloads.
    • Configure AgentCore Observability for production monitoring.
    • Implement Amazon CloudWatch integration and specialized tracing.
    • Describe the core features of AgentCore Evaluations.
    • Integrate agentic systems with production APIs and services.
    • Design deployment strategies for production environments.

    INTENDED AUDIENCE

    This course is intended for:

    • 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:

      ACTIVITIES

      This course includes:

      • Presentations
      • Hands-on lab,
      • Group exercises

      COURSE DURATION / PRICE

      • 1 day
      • € 750.00 (excl. tax) per person (DE)

      Course outline

      Day 1

      • Module 1: Foundations of Agentic AI Patterns
        • Agent building blocks
        • Amazon Bedrock AgentCore introduction
      • Module 2: AgentCore Runtime and Framework Integration
        • Supported frameworks and implementation
        • AgentCore Runtime overview
        • Infrastructure and deployment
      • Module 3: Security and Identity Management
        • Security and identity management
        • Securing your agents with AgentCore Identity
      • Module 4: Tool Integration and AgentCore Gateway
        • Amazon Bedrock AgentCore Policy
        • Built-in tools and custom integration
        • Model Context Protocol (MCP)
        • AgentCore Gateway
        • Implementing AgentCore Gateway
      • Module 5: Agentic Memory Implementation
        • Agentic memory core concepts
        • AgentCore Memory
        • Securing AgentCore Memory
        • Hands-on Lab: Enhance and Scale Agents with Amazon Bedrock AgentCore 
      • Module 6: Production Monitoring and Observability
        • Monitoring agents with AgentCore Observability
        • Verifying agent performance with AgentCore Evaluation
      • Module 7: Course Wrap-up
        • Next steps and additional resources
        • Course summary

      IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

      Course materials are in English, on request also in German (if available).
      The Course language is German, on request also in English.


      Neue Termine in Planung!

      Continue reading

      Exam Prep: AWS Certified Data Engineer – Associate



      Exam Prep: AWS Certified Data Engineer – Associate

      Please find our upcoming course dates at the end of this page!

      Course description

      In this 1-day instructor-led training course, you will prepare for the AWS Certified Data Engineer – Associate exam. This course helps you understand what is important for the exam, how to approach different question types, and how to identify common misconceptions that appear on the test. Our instructor will guide you through exam-focused reviews of each domain, highlighting frequently tested concepts, clarifying easily confused topics, and providing strategic approaches to question analysis. Through targeted practice with exam-style questions, you will develop the specific knowledge and testtaking skills needed to succeed on the certification exam.

      COURSE OBJECTIVES

      In this course, you will:

      • Identify the scope and content tested by the AWS Certified Data Engineer – Associate exam
      • Apply effective test-taking strategies for different question types
      • Practice with exam-style questions to build confidence and identify knowledge gaps
      • Understand key concepts across all exam domains including data ingestion, transformation, data store management, operations, and security

      INTENDED AUDIENCE

      This course is intended for:

      • data professionals with 2-3 years of experience in data engineering and 1-2 years of hands-on experience with AWS services who are preparing to take the AWS Certified Data Engineer – Associate exam

      Prerequisites

      To be successful in this course, you should have:

      • 2-3 years of experience in data engineering
      • 1-2 years of hands-on experience with AWS services
      • Basic familiarity with AWS data services

        ACTIVITIES

        This course includes:

        • Presentations
        • Discussions
        • Guided practice with exam-style questions
        • Scenario-based discussions

        COURSE DURATION / PRICE

        • 1 day
        • € 750.00 (excl. tax) per person (DE)

        Course outline

        Day 1

        • Module 0: Introduction
          • Exam format and structure
          • Question types and scoring
          • Test-taking strategies
          • Preparation resources
        • Module 1: Data Ingestion and Transformation
          • Perform data ingestion
          • Transform and process data
          • Orchestrate data pipelines
          • Apply programming concepts
          • Walkthrough of exam-style questions
          • Additional questions
        • Module 2: Data Store Management
          • Choose a data store
          • Understand data cataloging systems
          • Manage the lifecycle of data
          • Design data models and schema evolution
          • Walkthrough of exam-style questions
          • Additional questions
        • Module 3: Data Operations and Support
          • Automate data processing by using AWS services
          • Analyze data by using AWS services
          • Maintain and monitor data pipelines
          • Ensure data quality
          • Walkthrough of exam-style questions
          • Additional questions
        • Module 4: Data Security and Governance
          • Apply authentication mechanisms
          • Apply authorization mechanisms
          • Ensure data encryption and masking
          • Prepare logs for audit
          • Understand data privacy and governance
          • Walkthrough of exam-style questions
          • Additional questions
        • Module 5: Course Wrap-up
          • Review of exam domains
          • Final test-taking strategies
          • Additional preparation resources
          • Next steps

        IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

        Course materials are in English, on request also in German (if available).
        The Course language is German, on request also in English.


        Neue Termine in Planung!

        Continue reading

        Exam Prep: AWS Certified Cloud Practitioner



        Exam Prep: AWS Certified Cloud Practitioner

        Please find our upcoming course dates at the end of this page!

        Course description

        In this 1-day instructor-led training course, you will prepare for the AWS Certified Cloud Practitioner exam. This course helps you understand what is important for the exam, how to approach different question types, and how to identify common misconceptions that appear on the test. Our instructor will guide you through exam-focused reviews of each domain, highlighting frequently tested concepts, clarifying easily confused topics, and providing strategic approaches to question analysis. Through targeted practice with exam-style questions, you will develop the specific knowledge and test-taking skills needed to succeed on the certification exam.

        COURSE OBJECTIVES

        In this course, you will:

        • Identify the scope and content tested by the AWS Certified Cloud Practitioner exam
        • Apply effective test-taking strategies for different question types
        • Practice with exam-style questions to build confidence and identify knowledge gaps
        • Understand key concepts across all exam domains including cloud concepts, security and compliance, cloud technology and services, and billing, pricing, and support

        INTENDED AUDIENCE

        This course is intended for:

        • individuals with up to 6 months of exposure to AWS Cloud design, implementation, and/or operations who are preparing to take the AWS Certified Cloud Practitioner exam

        Prerequisites

        To be successful in this course, you should have:

        • Up to 6 months of exposure to AWS Cloud design, implementation, and/or operations
        • Basic understanding of IT services and their uses in the AWS Cloud platform
        • Some familiarity with AWS services and the AWS Management Console

          ACTIVITIES

          This course includes:

          • Presentations
          • Discussions
          • Guided practice with exam-style questions
          • Scenario-based discussions

          COURSE DURATION / PRICE

          • 1 day
          • € 750.00 (excl. tax) per person (DE)

          Course outline

          Day 1

          • Module 0: Introduction and Exam Overview
            • About this course
            • About the exam
              • Format and structure
              • Question types and scoring
              • Test-taking strategies
              • Preparation resources
          • Module 1: Cloud Concepts
            • Define the benefits of the AWS Cloud
            • Identify design principles of the AWS Cloud
            • Understand the benefits of and strategies for migration to the AWS Cloud
            • Understand concepts of cloud economics
            • Walkthrough of exam-style questions
            • Additional questions
          • Module 2: Security and Compliance
            • Understand the AWS shared responsibility model
            • Understand AWS Cloud security, governance, and compliance concepts
            • Identify AWS access management capabilities
            • Identify components and resources for security
            • Walkthrough of exam-style questions
            • Additional questions
          • Module 3: Cloud Technology and Services
            • Define methods of deploying and operating in the AWS Cloud
            • Define the AWS global infrastructure
            • Identify AWS compute services
            • Identify AWS database services
            • Identify AWS network services
            • Identify AWS storage services
            • Identify AWS artificial intelligence and machine learning (AI/ML) services and analytics services
            • Identify services from other in-scope AWS service categories
            • Walkthrough of exam-style questions
            • Additional questions
          • Module 4: Billing, Pricing, and Support
            • Compare AWS pricing models
            • Understand resources for billing, budget, and cost management
            • Identify AWS technical resources and AWS Support options
            • Walkthrough of exam-style questions
            • Additional questions
          • Module 5: Course Wrap-up
            • Review of exam domains
            • Final test-taking strategies
            • Additional preparation resources
            • Next steps

          IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

          Course materials are in English, on request also in German (if available).
          The Course language is German, on request also in English.


          Neue Termine in Planung!

          Continue reading

          Agentic AI Foundations



          Agentic AI Foundations

          Please find our upcoming course dates at the end of this page!

          Course description

          In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

          COURSE OBJECTIVES

          In this course, you will learn to:

          • Summarize the evolution of Agentic AI and define what makes something “agentic” 
          • Identify core components of agentic systems
          • Distinguish between workflow, autonomous, and hybrid agents
          • Compare AWS service options for Agentic AI
          • Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
          • Explain Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
          • Identify basic implementation patterns for Agentic AI
          • Describe observability and interoperability patterns for production agentic AI systems

          INTENDED AUDIENCE

          This course is intended for:

          • Software developers new to Agentic AI seeking foundational knowledge
          • Technical professionals exploring AI capabilities and interested in core components and applications of agentic AI
          • Development teams evaluating Agentic AI solutions and needing to differentiate between agent types
          • AWS Users expanding into Agentic AI, including current users of Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents

          Prerequisites

          We recommend that attendees of this course have:

            ACTIVITIES

            This course includes:

            • Presentations
            • Hands-on lab,
            • Group exercises

            COURSE DURATION / PRICE

            • 1 day
            • € 750.00 (excl. tax) per person (DE)

            Course outline

            Day 1

            • Module 1: From LLMs to Agents
              • Understanding Large Language Models (LLMs)
              • Innovations powering agents
              • Evolution timeline from LLMs to Agents
            • Module 2: Exploring Agentic AI
              • Understanding Agentic AI
              • Types of AI agents
              • Agentic AI applications
            • Module 3: Understanding Agentic AI Workflows
              • Workflow patterns
              • Amazon Bedrock flows overview
            • Module 4: Introducing Autonomous Agents
              • How Autonomous Agents work
              • ReAct
              • ReWoo
              • Multi-agent collaboration
              • AWS Agentic AI solutions
            • Module 5: Amazon Q and Agentic Development Tools
              • Amazon Q Developer
              • Amazon Q Business
              • Amazon Q in AWS Services
              • Kiro: AI-powered IDE with spec-driven development
            • Module 6: Agentic AI with Amazon Bedrock
              • Amazon Bedrock Agents
              • Amazon Bedrock AgentCore
              • Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails
            • Module 7: Building DIY Solutions
              • DIY solutions
              • Observability and Monitoring
              • Agent Interoperability
            • Module 8: Course Wrap-up
              • Next steps and additional resources
              • Course summary

            IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

            Course materials are in English, on request also in German (if available).
            The Course language is German, on request also in English.


            Neue Termine in Planung!

            Continue reading