AWS Machine Learning Foundations Course
About this Course
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.
Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement learning, and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepRacer and AWS DeepComposer).
Learn how to prepare, build, train, and …
AWS Machine Learning Foundations Course
About this Course
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.
Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement learning, and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepRacer and AWS DeepComposer).
Learn how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker and learn object-oriented programming best practices.
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.
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Machine learning is expected to transform virtually every industry and customer experience we know today. However, there is a shortage of trained and experienced ML developers. Of 23 million developers worldwide, only 1.3% (300,000) have AI/ML expertise, and by 2022 it is predicted there will be 58 million AI/ML jobs, further deepening this talent shortage.
,Upon completion of the course, learners will have a strong foundation in object-oriented programming and an introduction to key AWS machine learning technologies, which is a great start on the path towards becoming a Machine Learning Engineer.
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lesson 1
Welcome to the AWS Machine Learning Foundations Course
Meet your instructors
What you will learn
Pre-requisites
lesson 2
Introduction to Machine Learning
Differentiate between supervised and unsupervised learning
Identify problems that can be solved with machine learning
Describe commonly used algorithms including linear regression, logistic regression, and k-means
Describe how model training and testing works
Evaluate the performance of a machine learning model using metrics
lesson 3
Machine Learning with AWS
Identify AWS machine learning offerings and understand how different services are used for different applications
Explain the fundamentals of computer vision and provide examples of popular tasks
Describe how reinforcement learning works in the context of AWS DeepRacer
Explain the fundamentals of generative AI and its applications, and describe three famous generative AI models in the context of music and AWS DeepComposer
lesson 4
Software Engineering Practices, Part 1
Writing clean and modular code
Writing efficient code
Code refactoring
Adding meaningful documentation
Using version control
lesson 5
Software Engineering Practices, Part 2
Testing
Logging
Code reviews
lesson 6
Introduction to Object-Oriented Programming
Object-oriented programming syntax
Using object-oriented programming to make a Python package
