Gen AI Dev- Implement App Integration Patterns & Dev Tools

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Gen AI Dev- Implement App Integration Patterns & Dev Tools

This course is part of AWS Generative AI Developer Advanced Specialization

Instructor: AWS Instructor

Included with Learn more

5 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

5 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

Enhance enterprise systems by using AI-assisted AWS services
Create automated content enhancement and transformation workflows
Use spec-driven development features for complex projects

Details to know

Shareable certificate

Add to your LinkedIn profile

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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 5 modules in this course

In this module, you will learn how to do the following:Enhance enterprise systems by using AI-assisted AWS servicesImplement AI-powered enhancements for CRM systems, document processing, knowledge management, data processing workflows, and development productivity toolsIn this module, you learn how to implement application integration patterns and AI-assisted development tools for generative AI applications.

What's included

1 reading

What's included

10 readings

10 readingsTotal 30 minutes

Introduction1 minute
AI model deployment patterns3 minutes
Infrastructure as code for AI deployments2 minutes
Multi-account architecture considerations7 minutes
Resources1 minute
Introduction1 minute
Benefits of AI enterprise system enhancements4 minutes
Enterprise system enhancement opportunities5 minutes
Implementation strategy and considerations3 minutes
Enterprise AI implementation best practices3 minutes

What's included

27 readings

27 readingsTotal 54 minutes

Introduction1 minute
CRM enhancement configuration1 minute
Customer interaction enhancement4 minutes
Data analysis and insights generation4 minutes
Content creation and automation3 minutes
CRM-specific implementation considerations1 minute
Introduction1 minute
Step Functions workflow configuration1 minute
Intelligent document extraction4 minutes
Content enhancement and transformation5 minutes
Workflow automation and orchestration4 minutes
Amazon Bedrock Data Automation1 minute
Document processing implementation considerations1 minute
Introduction1 minute
Amazon Q business configuration1 minute
Intelligent knowledge retrieval4 minutes
Content enhancement and generation5 minutes
Amazon Bedrock Knowledge Bases1 minute
Knowledge discovery and analytics3 minutes
Knowledge management implementation considerations1 minute
Introduction1 minute
Understanding Automated Data Processing1 minute
Workflow Processing Transformations1 minute
Processing Approaches: Standard and Custom Output1 minute
Organizing Workflows with Projects1 minute
Implementing a BDA API Workflow1 minute
Data processing implementation considerations1 minute

What's included

3 readings

What's included

4 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

AWS Instructor

Amazon Web Services

187 Courses366,231 learners

Offered by

Amazon Web Services

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Frequently asked questions

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