AWS Academy Machine Learning Foundations

AWS Academy Machine Learning Foundations introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.

In order to get the full benefit from this course, you require the following:

• Computer/Laptop/Tablet
• Stable internet connection
• Firefox/Microsoft Edge/Chrome web browser (latest version)
• Email/Cell phone for notifications and communication

Upon completion of this course, students will be able to

• Describe machine learning (ML)
• Implement a machine learning pipeline using Amazon SageMaker
• Use managed Amazon ML services for forecasting
• Use managed Amazon ML services for computer vision
• Use managed Amazon ML services for natural language processing

• MODULE 1
  Welcome to AWS Academy Machine Learning Foundations
• MODULE 2
  Introducing Machine Learning
• MODULE 3
  Implementing a Machine Learning pipeline with Amazon SageMaker/li>
• MODULE 4
  Introducing Forecasting
• MODULE 5
  Introducing Computer Vision
• MODULE 6
  Introducing Natural Language Processing

This introductory course is intended for students interested in pursuing a career in data science, ML, and AI.

To ensure success in this course, students should have the following

• Completed AWS Academy Cloud Foundations (or another introductory cloud computing course)
• Experience scripting with Python or equivalent
• •A basic understanding of statistics