Generative AI Essentials on AWS

Key Course Points

Course Code: SSAWS27 Course Data Sheet Course Duration 1 days Start & End Time 9:00 am- 5:00 pm

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Course Information

Dive into the world of generative AI with this comprehensive one-day course designed for business professionals and IT specialists. Gain a solid foundation in generative AI concepts, methods, and strategies, empowering you to identify suitable use cases and leverage cutting-edge technologies to solve real-world problems. Through hands-on labs, demonstrations, and group exercises, you’ll master prompt engineering, explore responsible AI principles, and learn to implement generative AI projects securely. By the end of the course, you’ll be equipped to discuss implementation strategies with confidence, optimize slogan generation, create project plans using AI, and integrate generative AI into your organization’s development lifecycle. Whether you’re a business analyst, marketing professional, or IT manager, this course will transform your understanding of generative AI and its practical applications in today’s business landscape.

 

What you’ll learn

·       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

·       And much more

Activities

This course includes presentations, hands-on labs, demonstrations, and group exercises

 

Course outline

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

None

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Whether you are thinking of doing any of our courses you can book it here now. Alternatively, if you need advice or would like to discuss a business discount account - email: info@sureskills.com or call: 01 240 22 62 (Irl)/ 028 9093 5565 (UK).

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