Get to grips with generative AI’s potential and drive strategic, ethical decisions for your business.

Duration
3 weeksWeekly study
3 hoursLanguages
English, Italiano, Español, Français, PortuguêsEnglish, Italiano, Español100% online
How it worksDigital upgrade
Free
AWS Generative AI for Decision Makers
This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.
Turn generative AI into your business’s competitive advantage
Generative AI is on the rise, and many organisations are ramping up their efforts to capture its value. Stay ahead by developing the knowledge and confidence to understand what it can do, where it fits, and how to use it responsibly on this online course from Amazon Web Services.
A step-by-step guide, this course will help you learn the essentials of generative AI and how to apply it in your own decision-making.
You’ll start with the fundamentals, move on to building a clear strategy for adoption, and finish by putting your learning into practice through real-world applications.
Begin with the AI basics
You’ll kick off this course by getting a clear understanding of what generative AI is, how it works, and why it’s different from other AI.
You’ll explore the models and technologies behind it and see how they’re already reshaping industries. Plus, grasp how they’re optimising workflows, sparking creativity, and delivering new insights to businesses worldwide.
Build your strategic approach
You’ll then focus on how to make AI adoption work within your organisation. Learn to evaluate opportunities, assess risks, and embed ethical principles into your planning.
At this point in the course, you’ll also develop an understanding of governance, transparency, bias reduction, and data privacy as part of responsible AI practice.
Put your learning into practice
Bring your learning together through case studies and interactive exercises.
You’ll finish the course with practical frameworks for applying AI to business intelligence, customer engagement, product development, and operations, leaving you equipped to make decisions that are faster, smarter, and ethically sound.
Syllabus
Week 1
Introduction to Generative AI - Art of the Possible
Introduction to Generative AI
In this activity you will learn about the relationship between ML and generative AI.
Basics of Generative AI
In this activity you will get an introduction to generative AI and how businesses are deriving business value from the use of generative AI.
Generative AI use cases
In this lesson you will learn about some of the typical use cases for generative AI.
Generative AI in Practice
This activity describes a real-world scenario about how generative AI can benefit customers like you.
Risks and Benefits
This lesson reviews some of the risks and benefits involved in using generative AI in your organisation.
Week 2
Planning a Generative AI Project
Technical Foundations and terminology for generative AI
The purpose of this activity is to give you a better understanding of how generative AI works. You will cover some key factors such as foundation models (FMs), pretraining, and how transformers play a major role in the process.
Planning a Generative AI Project
In this activity, you will learn about the process of defining the problem and use case based on the immediate and future needs of the business.
Risks and Mitigation
In this activity, you will continue the process of evaluating the use of generative AI for your business needs.
Week 3
Building a Generative AI-Ready Organisation
Preparing your organisation
Your organisation is looking at generative AI to deliver business value and stay competitive. To use it effectively, your organisation should take a people-first approach by providing your employees with training and resources and
Organising for Success
Generative AI introduction transforms how your organisation operates its cloud environment. This transformation can have a trickle-down effect on organisational structure, roles, and more.
Taking Action Now
This activity introduces generative AI thinking into your organisation with what you need to understand the technology and its potential applications.
Amazon Q Introduction
This activity gives a high-level overview of Amazon Q, a generative artificial intelligence (AI) powered assistant.
When would you like to start?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Describe the basics of generative AI
- Understand risks and benefits of generative AI
- Articulate how content generation can be used in business
Who is the course for?
This course is ideal for senior leaders, executives, managers, entrepreneurs, and professionals looking for strategic ways to incorporate AI in their businesses.
What's included?
Amazon Web Services (AWS) are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get:
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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