Lay the groundwork for successful machine learning projects

Explore how successful machine learning projects begin by evaluating business challenges, assessing organisational readiness, and determining when machine learning is the right approach to achieve meaningful outcomes.

Turn business requirements into machine learning strategies

Discover how to identify suitable machine learning use cases, assess data readiness, consider project timelines, and plan for successful deployment, helping you make informed decisions throughout the machine learning project lifecycle.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

Syllabus

Week 1
Planning a Machine Learning Project
- Planning a Machine Learning Project
  In this activity, business decision makers will learn to determine if machine learning fits a business problem by identifying the data, time, and production requirements needed for a successful ML project.

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 how to determine if machine learning is the right solution to your business problem
Describe the process of ensuring if your business data is machine learning ready
Explain the impacts machine learning has to a project timeline
Ask questions that affect machine learning model deployment to production

Who is the course for?

This course is ideal for non-technical business leaders and decision-makers who are involved in, or preparing to support, machine learning projects. It is also suitable for participants of the AWS Machine Learning Embark program and Machine Learning Solutions Lab (MLSL) discovery workshops.

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

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

Want to know more about learning on FutureLearn? Using FutureLearn