Władysław Reginiewicz
Agentic AI Foundations
Completed the Agentic AI Foundations course, gaining foundational knowledge of agentic AI concepts, core system components, agent patterns, AWS service options, and production considerations including observability and interoperability.
Credential Validity
Verified
Issued:
4/26/2026 8:01 PM
Valid from:
4/26/2026 8:01 PM
Validity:
Does not expire
Credential URI
urn:uuid:c1ef3de2-d2fa-5cdf-9c31-ac1948a3306c
Claims
Learning outcomes
- 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
Learning modeNon-formal education
In this course, you will learn the fundamental principles and strategies for designing agentic AI systems using AWS services. You will understand how agentic AI differs from traditional conversational systems, and how to use tools to build autonomous, goal-oriented solutions that can solve real-world problems.
Contributes to achievementCompletion of Agentic AI Foundations
Start date2026-04-22
End date2026-04-22
Learning methodOnline
Type of educational activityClassroom teaching
LanguagePolish
Contact hours8 hours
OrganizerCloudTeam Sp. z o.o.
Organizer countryPOL
Organizer homepagehttps://cloudteam.global/
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