Gen AI Dev- Agentic AI Solutions and Tool Integrations

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Gen AI Dev- Agentic AI Solutions and Tool Integrations

Instructor: AWS Instructor

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6 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

6 modules

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

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There are 6 modules in this course

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

What's included

6 readings

What's included

25 readings

25 readingsTotal 34 minutes

Introduction1 minute
Strands Agent Framework1 minute
Advantages and Considerations1 minute
Strands Agent Architecture1 minute
Use Cases for Strands Agents1 minute
Example Workflow: Content Generation3 minutes
Introduction1 minute
Multi-Agent Patterns2 minutes
Orchestration Pattern Selection1 minute
Advantages and Considerations1 minute
Multi-Agent Use Cases1 minute
Multi-Agent Architecture1 minute
Introduction1 minute
Core principles of advanced problem-solving systems1 minute
Agent Design Patterns1 minute
AWS Step Functions for Agent Design Patterns1 minute
Advantages and Considerations of AWS Step Functions for Advanced Problem-Solving1 minute
Advanced Problem-Solving Use Cases1 minute
Implementation Architecture with AWS Step Functions3 minutes
Introduction1 minute
Introduction to Model Context Protocol1 minute
MCP Implementation Patterns1 minute
Advantages and Considerations1 minute
MCP Implementation Use Cases1 minute
Example MCP Workflow5 minutes

What's included

13 readings

13 readingsTotal 13 minutes

Introduction1 minute
External Data and Context Access1 minute
Dynamic Adaption Capabilities1 minute
External Service Integration1 minute
Personalization and User Adaptation1 minute
Efficiency and Performance Benefits1 minute
Security and Access Control1 minute
Introduction1 minute
AWS Lambda for Stateless MCP Servers1 minute
Amazon ECS for Persistent MCP Servers1 minute
MCP Client Libraries and Access Patterns1 minute
Best Practices1 minute
Integration with AWS Services1 minute

What's included

12 readings

12 readingsTotal 13 minutes

Introduction1 minute
Enhanced Model Accuracy and Relevance1 minute
Enhanced User Trust and Engagement1 minute
Adaptive Learning and Responsiveness1 minute
Example Workflow: Ethical Decision-Making and Fairness1 minute
Introduction1 minute
AWS Step Functions for Review and Approval Processes1 minute
Amazon API Gateway for Feedback Collection1 minute
Human Augmentation Patterns1 minute
Best Practices1 minute
Integration with AWS Services1 minute
Workflow Example: Human Review Integration2 minutes

What's included

7 readings

What's included

4 readings1 assignment

Instructor

AWS Instructor

Amazon Web Services

168 Courses365,088 learners

Offered by

Amazon Web Services

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