All courses are free and available on demand—so you can study machine learning theory and real-world applications however, whenever, and wherever you want. Remember, this is training built on the curriculum Amazon trusts to help its own machine learning experts. As you develop your abilities, you can apply your knowledge to your own real-world projects, achieve an industry-recognized certification to advance your career, and position yourself as a trusted advisor to your team.
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Learn how to empower your team with machine learning skills that will drive innovation for your business.
Organizations are struggling to find data scientists and developers with machine learning experience. Learn how you can become the machine learning problem-solver others look to.
In this webinar, prepare for the AWS Certified Machine Learning - Specialty exam by exploring its topic areas and how they map to machine learning on AWS.
A variety of resources to help you build your machine learning skills including carefully selected digital training, classroom courses, videos, whitepapers, certifications and more.
Infographic for team leaders on the 5 reasons to upskill your team in machine learning.
55:13Learn how you can unlock new insights and value for your business using machine learning.
1:02:14Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline.
57:37Quick Start on AWS: Machine Learning Episode 1 - Getting to Know Machine Learning
Episode 1: Getting Started with Machine Learning In this episode, you'll meet your hosts and jump into the basics of Machine Learning (ML). What is it, and why does it seem like everyone is talking a
1:01:05Quick Start on AWS: Machine Learning Episode 2 - Machine Learning End to End
Episode 2: Machine Learning End to End This week, you'll increase your understanding of the ML process, from end to end. Using one consistent example, we'll start with a clear business problem and yo
1:00:15Quick Start on AWS: Machine Learning Episode 3 - Machines Can Learn?!
Episode 3: Machines Can Learn?! Now that you've covered some of the basics, it's time to start thinking about how machines learn. You'll follow a naïve example to understand what a model is, and lear
56:50Quick Start on AWS: Machine Learning Episode 4 - Love Your Data
Episode 4: Love Your Data This episode, we'll talk about all things data - cleaning it, preparing it, and more. You'll even learn how to do some exploratory data analysis so that you can develop your
57:32Quick Start on AWS: Machine Learning Episode 5 - Tear-Free Algorithms
Episode 5: Tear-Free Algorithms Algorithms don't have to be as scary as they sound. You'll learn some popular algorithms and their use cases so you can start to develop your understanding. You'll als
51:45Quick Start on AWS: Machine Learning Episode 6 - ML in the Real World
Episode 6: ML in the Real World Let's explore a real-world use case of machine learning in Amazon Alexa and beyond.
1:01:00Quick Start on AWS: Machine Learning Episode 7 - Is My Model Good Enough?
Episode 7 - Is My Model Good Enough? Once you've built a model, how will you know if it's good enough? Here you'll learn to apply different methods of evaluation and what metrics you should use.
53:00Quick Start on AWS: Machine Learning Episode 8 - Ready for Production
Episode 8: Ready for Production What do you do when it's time to wrap everything up and send your model to production? We'll show you what that looks like and how you can get started.