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Generative AI Essentials on AWS

Generative AI Essentials on AWS

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.

Training code
AWS-GAIE
Duration
1 day
Level
Easy
Price
2300 zł
Who is it for?

This course is intended for those with limited prior knowledge of generative AI:

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

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
Prerequisites

None

Scope of training

Introducing Generative AI

  • Generative AI explained
  • Foundation models
  • AWS generative AI services
  • Demo: Generative AI solution

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

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

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

Security, Governance, and Compliance

  • Security overview
  • Adverse prompts
  • Generative AI security services
  • Governance
  • Compliance

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

Integrating Generative AI into the Development Lifecycle

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

Course Wrap-up

  • Next steps and additional resources
  • Course summary

Enquire about the date and quotation

This training is available on request. Let us know and we will arrange a date and format (online/in-person).

We will respond with a proposed date within 24 hours
No obligation – simply enquiring does not reserve anything
Available exclusively for your team