Generative AI Essentials on AWS

Length 1 day
Price $950 inc GST

Course overview

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Why study this course

In this one-day 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 organisation.

Extra material will be included for students preparing for the AWS Certified AI Practitioner exam.

Aligns to certification

AWS Certified AI Practitioner

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What you’ll learn

This course is designed to teach participants how to:

Summarise 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
Recognise the types of generative AI solutions with specific use cases
Explain implementation and project planning of generative AI to your organisation

AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

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Who is the course 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

Course subjects

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: Optimising 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

Please note: This is an emerging technology course. Course outline is subject to change as needed.

Prerequisites

None

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.