Introduction to Generative AI - Art of the Possible

The Introduction to Generative AI - Art of the Possible course provides an introduction to generative AI, use cases, risks and benefits. With the help of a content generation example, we illustrate the art of the possible.

Planning a Generative AI Project

Planning a Generative AI Project is the second course in the three-part series called Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, start with the first course in the series, Introduction to Generative AI - Art of the Possible.

You will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will explore the steps to planning a generative AI project, and evaluate the risks and benefits of using generative AI.

Developing Generative Artificial Intelligence Solutions

You will explore the generative artificial intelligence (generative AI) application lifecycle, which includes defining a business use case, selecting a foundation model (FM), improving the performance of an FM, evaluating the performance of an FM, and deployment and its impact on business objectives.

This course is a primer to generative AI courses, which dive deeper into concepts related to customizing an FM using prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning.

Please note that to access the course content for this AWS course, you will go via an LTI link(s) to the AWS platform; you can then return to the FutureLearn course and mark the step as complete in order to receive your certificate.

Syllabus

Week 1
Introduction to Generative AI - Art of the Possible
- Introduction to Generative AI - Art of the Possible
  In this activity, you will learn machine learning basics and generative AI fundamentals, exploring real-world use cases, AWS tools, small business implementations, and ethical considerations.

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 what generative AI is and how it fits in with machine learning (ML).
Identify the generative AI services available at Amazon.
Describe some of the risks and benefits of generative AI.
Explore the steps to planning a generative AI project.
Define Retrieval Augmented Generation (RAG) and describe its business application.
Understand approaches to evaluate foundation model performance.
Explain the cost trade-offs of various approaches to foundation model customization.

Who is the course for?

This course is ideal for Business and technical decision makers, individuals interested in machine learning and artificial intelligence, independent of a specific job role. Alliance Leads, Architects, Business Development/Analyst, Managers, Business Users, Cloud Operators, Data Engineers, Data Scientists, Decision Makers, Developers, DevOps Engineers

Who developed the course?

Amazon Web Services (AWS)

AWS is the world’s most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently.

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:

Unlimited access to this course

Includes any articles, videos, peer reviews and quizzes

A PDF Certificate of Achievement to prove your success when you’re eligible

Learning on FutureLearn

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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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