Agent Runtime Orientation (Skill Builder)
AWS Agentic AI Demonstrated
Agent Runtime Orientation (Skill Builder)
This lesson turns the official Skill Builder microcredential outline into a short preparation path. Read it once for orientation, then answer the linked MCQs from the syllabus branch before moving to the next module.
What To Master
Understand how Bedrock-powered agents receive instructions, use tools, access knowledge, and return controlled responses.
Fast Prep Tasks
- Identify the moving parts of an agentic workflow.
- Trace the path from user request to model reasoning, tool call, action result, and final response.
- Recognize where instructions, tool schemas, permissions, and knowledge sources affect behavior.
AWS Services To Recognize
- Amazon Bedrock Agents
- Amazon Bedrock AgentCore
- AWS Lambda
- Amazon S3
Scenario Traps
- Debugging only the prompt when the failing component is a tool, policy, or data source.
- Treating an agent as a chatbot without action boundaries.
Speed Drill
After this lesson, open the matching syllabus branch and answer MCQs until you can explain why the wrong options are attractive but not best. Then run a short quiz with this module plus one previous weak module.
Official Source
Use the AWS exam guide as the source of truth for final scope checks: Skill Builder microcredential exam guide.