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AWS Machine Learning in Cloud

Learn to resolve business problems with Artificial Intelligence and machine learning

Collaborating with AWS Academy, this course 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.

This is course #4 in a series focused on Amazon Web Services (AWS), including: AWS Cloud Foundations (Course #1), AWS Cloud Architectures (Course #2), and AWS Data Analytics in Cloud (Course #3). Take one class or all four in the series.

This program is designed for:

  • Individuals who want to get a job in cloud computing.
  • Professionals in the IT industry who want to advance their career.
  • Program Details
  • What You'll Learn
  • Topics Covered
  • Program Author
  • Program Details

    Program Format: Hybrid (in person and online). The course consists of an initial 3-hour in-person session with the instructor and labs, followed by 20 hours of online self-guided work.

    Cost: $499.00

    CEUs (Continuing Education Units): 2.3

    Length of Program: 23 hours

    What You'll Learn

    When you've completed the program "AWS Machine Learning in Cloud," you 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

    Topics Covered

    This program will include:

    • Introducing Machine Learning
    • Implementing a Machine Learning pipeline with Amazon SageMaker
    • Forecasting
    • Computer Vision
    • Natural Language Processing

    Program Author

    Ron Chiang

    Ron C. Chiang is an Associate Professor at the University of St. Thomas, Minnesota. He received his Ph.D. in Electrical and Computer Engineering at the George Washington University, Washington, D.C. His research interest includes cloud computing, and computer systems. He works extensively with AWS and is an AWS Educate Cloud ambassador, an AWS Academy accredited educator, and an AWS certified professional.

    Program Details

    Program Format: Hybrid (in person and online). The course consists of an initial 3-hour in-person session with the instructor and labs, followed by 20 hours of online self-guided work.

    Cost: $499.00

    CEUs (Continuing Education Units): 2.3

    Length of Program: 23 hours

    What You'll Learn

    When you've completed the program "AWS Machine Learning in Cloud," you 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

    Topics Covered

    This program will include:

    • Introducing Machine Learning
    • Implementing a Machine Learning pipeline with Amazon SageMaker
    • Forecasting
    • Computer Vision
    • Natural Language Processing

    Program Author

    Ron Chiang

    Ron C. Chiang is an Associate Professor at the University of St. Thomas, Minnesota. He received his Ph.D. in Electrical and Computer Engineering at the George Washington University, Washington, D.C. His research interest includes cloud computing, and computer systems. He works extensively with AWS and is an AWS Educate Cloud ambassador, an AWS Academy accredited educator, and an AWS certified professional.

    Take the Next Step

    CAPE programs from St. Thomas can help you gain CEU credits and stay current with technology.