Agentic AI Foundation AWS; Stockholm - Virtual Session (AAGA2512SEV)

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 level: Fundamental
• Duration: 1 day

PRICE

EUR 770.00 (excl VAT)

ABOUT THE COURSE

Transform your AI development skills by learning the essentials of agentic AI systems on AWS. This hands-on course empowers you to create autonomous AI agents that go beyond simple chatbots. Through practical exercises and real-world examples, you'll learn to leverage AWS services to build AI systems that can reason, plan, and act independently. Learn core concepts like agent architecture, decision-making frameworks, and autonomous behavior implementation. By course completion, you'll be able to identify agentic AI solution architectures, explain key differences between traditional conversational AI and agentic systems, and describe implementation patterns for autonomous agents using AWS services. Our expert-led instruction combines theoretical foundations with practical application, ensuring you gain both deep understanding and hands-on experience. This course includes presentations, hands-on labs, demonstrations, and group exercises.

LANGUAGE

The course will be taught in English.

THIS COURSE IS INTENDED FOR:

• Software developers new to Agentic AI seeking foundational knowledge and practical implementation skills
• 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

RECOMMENDED PREREQUISITES:

We recommend that attendees of this course have:

• Generative AI Essentials course completed or equivalent work experience
• Basic AWS knowledge and software development experience

THIS COURSE IS DESIGNED TO TEACH YOU HOW TO:

• Summarize the evolution of Agentic AI and define what makes something "agentic"
• Identify core components of agentic systems: goals, memory, tools, and environment
• Distinguish between workflow, autonomous, and hybrid agents
• Compare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)
• Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
• Explain Amazon AgentCore and Amazon Bedrock Agents core functionalities
• Identify basic implementation patterns for Agentic AI
• Describe observability and interoperability patterns for production agentic AI systems

AGENDA 

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
• Demo: Amazon Bedrock Flows

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
• Demo: Amazon Q

Module 6: Agentic AI with Amazon Bedrock

• Amazon Bedrock Agents
• Amazon Bedrock AgentCore
• Demo: Amazon Bedrock Agents
• 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

TECHNICAL REQUIREMENTS

You must bring your own laptop device to class in order to run hands-on labs. You are required to bring a device that meets the following requirements:

• A notebook computer with Wi-Fi
• Administrator access to the computer (if Windows, optional)
• Chrome or Firefox (Internet Explorer will not work)

CANCELLATION & PAYMENT POLICY

All prices are net prices. VAT will be added to the price. You have the right to cancel your registration free of charge up until 15 days prior to the event. Nordcloud holds the right to cancel the event 14 days prior to the event, in which case all paid seats will be refunded. A final event confirmation message will be sent to all registrants 14 days prior to the event. No refunds will be paid after the final event confirmation message has been sent. In case the event is cancelled a cancellation message will be sent