Agentic AI Foundations - 1 Day Instructor Led Training
NetCom Learning · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
# Course Overview
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.
Show the rest of the publisher’s description (56 more lines)
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Level: Beginner
Duration: 1 Day/8 hours
Delivery Type: Instructor-Led Training
# Course Objectives
- 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 Bedrock AgentCore and Amazon Bedrock Agents core functionalities
- Identify basic implementation patterns for Agentic AI
- Describe observability and interoperability patterns for production agentic AI systems
# Who Should Go For This Training?
- AI Engineer
- Data Scientist
- Software Developer
- AWS Architect
# Course Outline
**From LLMs to Agents**
- Understanding Large Language Models (LLMs)
- Innovations powering agents
- Evolution timeline from LLMs to Agents
**Exploring Agentic AI**
- Understanding Agentic AI
- Types of AI agents
- Agentic AI applications
**Understanding Agentic AI Workflows**
- Workflow patterns
- Amazon Bedrock flows overview
- Demo: Amazon Bedrock Flows
**Introducing Autonomous Agents**
- How Autonomous Agents work
- ReAct
- ReWoo
- Multi-agent collaboration
- AWS Agentic AI solutions
**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
**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
**Building DIY Solutions**
- DIY solutions
- Observability and Monitoring
- Agent Interoperability
**Course Wrap-up**
- Next steps and additional resources
- Course summary
Highlights
Highlighted by the publisher on AWS Marketplace.
Unlock the power of Agentic AI on AWS to design smarter, autonomous solutions that go beyond traditional conversational systems.
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- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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