Fundamentals of Machine Learning on AWS

Unlock the Power of Machine Learning with AWS

Interested in leveraging artificial intelligence and deep learning to solve real-world business challenges? This course, Fundamentals of Machine Learning on AWS, provides a comprehensive introduction to applying machine learning technologies using Amazon Web Services.

What You'll Learn:

• Understanding Machine Learning: Explore the core concepts of machine learning, its relationship to artificial intelligence, and deep learning.
• Identifying ML Opportunities: Learn how to effectively identify and frame business problems that can be solved with machine learning.
• End-to-End ML Process: Master the complete machine learning lifecycle, from data acquisition and preparation to model deployment and monitoring. This includes:
  • Data fetching, cleaning, and preparation
  • Model training and evaluation
  • Model deployment
  • Model monitoring
• AWS AI/ML Technologies: Discover and utilize the powerful AWS artificial intelligence and machine learning services.
• Amazon SageMaker Studio: Gain hands-on experience with Amazon SageMaker Studio, a comprehensive platform for building, training, and deploying machine learning models.

By the end of this course, you will be able to:

• Apply AWS machine learning technologies to solve practical business problems.
• Possess the foundational skills and knowledge required to pursue the AWS Machine Learning Specialty certification.
• Confidently navigate the machine learning landscape and leverage its potential.

This course is perfect for anyone looking to get started with machine learning and build a career in this rapidly growing field.