AWS Machine Learning Foundations Course

What you will learn

1. Welcome to the AWS Machine Learning Foundations Course

   • Meet your instructors
   • What you will learn
   • Pre-requisites

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

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

4. Software Engineering Practices, Part 1

   • Writing clean and modular code
   • Writing efficient code
   • Code refactoring
   • Adding meaningful documentation
   • Using version control

5. Software Engineering Practices, Part 2

   • Testing
   • Logging
   • Code reviews

6. Introduction to Object-Oriented Programming

   • Object-oriented programming syntax
   • Using object-oriented programming to make a Python package