Welcome to the second part of this learning plan centered around the role and responsibilities of a generative AI professional developer.In part one, you learned how to analyze your generative AI solution requirements, select foundation models (FMs), process and store data for model consumption, and implement model augmentation, and prompt engineering strategies.In this part, you'll learn how to implement agentic AI solutions, perform various model deployment strategies, design enterprise AI enh
Gen AI Dev- Agentic AI Solutions and Tool Integrations
Gen AI Dev- Agentic AI Solutions and Tool Integrations
This course is part of AWS Generative AI Developer Advanced Specialization
Instructor: AWS Instructor
Access provided by Technical University of Munich
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Implement Strands Agent modular patterns for agent development
Describe the core benefits of model extension frameworks for foundation model enhancement
Implement a text summarization workflow using Strands Agents, AgentCore, and MCP
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
September 2026
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Build your subject-matter expertise
This course is part of the AWS Generative AI Developer Advanced Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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