Generative AI Essentials on AWS Training

Live Online & Classroom Enterprise Certification Training

Generative AI Essentials on AWS is a foundational course that introduces the core concepts, tools, and services for building and deploying generative AI applications using AWS technologies like Amazon Bedrock and SageMaker.

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What is Generative AI Essentials on AWS Certification Training about?

In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.

What are the objectives of Generative AI Essentials on AWS Certification Training ?

In this course, you will learn to:

Summarize generative AI concepts, methods, and strategies
Discuss the appropriate use of generative AI and machine learning and their technologies
Describe how to use generative AI responsibly and safely
Recognize the types of generative AI solutions with specific use cases
Explain implementation and project planning of generative AI to your organization

Who is Generative AI Essentials on AWS Certification Training for?

Business analysts
IT supports
Marketing professionals
Product or project managers
Line-of-business or IT managers
Sales professionals

What are the prerequisites for Generative AI Essentials on AWS Certification Training?

None

Available Training Modes

Live Online Training

Classroom Training

1 Days

Course Outline Expand All

Expand All

Module 1: Introducing Generative AI

Generative AI explained

Foundation models

AWS generative AI services

Demo: Generative AI solution

Module 2: Exploring Generative AI Use Cases

Identify suitable use cases

Generative AI applications and use cases

Explore generative AI use case scenarios

Use case for class

Module 3: Essentials of Prompt Engineering

Introduction to prompt engineering

Prompt design best practices

Advanced prompting strategies

Model settings and parameters

Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock

Module 4: Responsible AI Principles and Considerations

Introduction to responsible AI

Core dimensions of responsible AI

Generative AI considerations

Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails

Module 5: Security, Governance, and Compliance

Security overview

Adverse prompts

Generative AI security services

Governance

Compliance

Module 6: Implementing Generative AI Projects

Introduction – Generative AI application

Define a use case

Select a foundational model

Improve performance

Evaluate results

Deploy the application

Demo: Amazon Q Business

Module 7: Integrating Generative AI into the Development Lifecycle

Introduction

Hands-on Lab: Capstone – Creating a Project Plan with Generative AI

Module 8: Course Wrap-up

Next steps and additional resources

Course summary

DOWNLOAD COURSE BROCHURE

Who is the instructor for this training?

The trainer for this Generative AI Essentials on AWS Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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