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Generative AI Essentials on AWS

Course 1248

  • Duration: 1 day
  • Language: English
  • Level: Foundation

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.

Generative AI Essentials on AWS Delivery Methods

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Generative AI Essentials on AWS Course Information

Upon completing this course, students should be able 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.

Prerequisites

None.

Generative AI Essentials on AWS

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
Get This Course $895 $620 For Team Prices Call: 888-843-8733

  • 1-Day Instructor-Led Training

  • Hands On Labs

  • After-Course Instructor-Coaching Included

#1248
  • Dec 8 9:00 AM - 4:30 PM EST
    Virtual
  • Mar 9 9:00 AM - 4:30 PM EDT
    Virtual
  • Jun 17 9:00 AM - 4:30 PM EDT
    Virtual
  • Sep 8 9:00 AM - 4:30 PM EDT
    Virtual

  • 1-Day Instructor-Led Training

  • Hands On Labs

  • After-Course Instructor-Coaching Included

#1248
  • Dec 8 9:00 AM - 4:30 PM EST
    Virtual
  • Mar 9 9:00 AM - 4:30 PM EDT
    Virtual
  • Jun 17 9:00 AM - 4:30 PM EDT
    Virtual
  • Sep 8 9:00 AM - 4:30 PM EDT
    Virtual

  • Bring this or any training to your organization

  • Full-scale program development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

#1248
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Generative AI Essentials on AWS FAQs

The course introduces key AWS services used in generative AI, including:

  • Amazon Bedrock – Building and deploying generative AI applications
  • AWS SageMaker – Training and deploying AI models
  • Amazon Lex – Conversational AI for chatbots
  • AWS Lambda & API Gateway – Integrating AI into cloud applications

No, this is a beginner-friendly course that focuses on AWS services and concepts. However, some hands-on exercises may include code examples, and familiarity with Python or cloud-based AI tools can be helpful.

Yes, this course helps build foundational knowledge for the AI Practitioner - Foundational certification.

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