Ashton College’s AWS Academy Machine Learning Foundations 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.
To ensure success in this course, students should have:
Upon completion of this course, the successful student will have reliably demonstrated the ability to:
Module 1: Welcome to AWS Academy Machine Learning Foundations
Module 2: Introducing Machine Learning
Module 3: Implementing a Machine Learning Pipeline with Amazon SageMaker
Challenge Lab 1 Class Project –Select and Train an algorithm
Module 4: Introducing Forecasting
Module 5: Introducing Computer Vision (CV)
Module 6: Introducing Natural Language Processing
Module 7: Course Wrap-Up
Richard Spencer has worn many hats during his time in the IT industry over the last 15 years. Starting his career in the telecommunications field, Richard is now a full-time information technology instructor. Richard has successfully attained his CCNA certification, CCNA “Train the Trainer” certification, and three certifications from Amazon Web Services: Solutions Architect Associate, Sysops Administrator, and DevOps associate. His professional expertise and interest align with all things AWS and networking.
Roman Mirakhmedov holds a Master’s in Applied Mathematics and Computer Science from Lomonosov Moscow State University and is a Ph. D. candidate in Artificial Intelligence. He loves building next-generation cloud-native solutions to help generate maximum value from the cloud. Roman is an AWS Academy Accredited Educator for Cloud Foundations, Cloud Architecture, SysOps, DevOps and Machine Learning. He is one of the very few people to hold all AWS certifications. He teaches cloud, machine learning, artificial intelligence, software development and applied mathematics. He is also a Senior Director, Cloud Consulting with Prodapt Solutions, a global system integrator.
*Subject to change without notice
Registration fee for this course is $595.
Live Online Students
Ashton College uses web conferencing tools for conducting online classes and online learning management systems for managing resources, assignments, and grades. These tools help instructors and students connect live online as well as asynchronously. The basic requirements for online learning include a computer, webcam, speakers, and a microphone or a headset and headphones, along with a reliable internet connection. Though online learning can be pursued using smartphones and tablets, the use of laptops or desktop computers is encouraged for an enhanced learning experience.
This course does not require approval by the Private Training Institutions Branch of the Ministry of Advanced Education, Skills & Training. As such, it was not reviewed.