AWS Academy Machine Learning Foundations

Ready to build with AI and Machine Learning? Gain a strong foundation in machine learning through practical AWS training. Learn to build and deploy models that solve real business problems. 

Course Description

This online, self-guided course introduces students to the concepts and terminology of Artificial Intelligence (AI), machine learning, and generative AI. Through pre-recorded videos, student guides, interactive labs and knowledge checks, you’ll gain the skills to apply ML services to real-world challenges and build, train, and deploy custom machine learning models. 

This foundational course builds essential Machine Learning knowledge and hands-on skills to begin your journey toward the AWS Certified Machine Learning–Specialty certification. Preparation centers on substantive AWS knowledge, not test-taking techniques.  

Want a bigger picture of your potential AWS Academy Certification journey? Check out other AWS Academy courses and potential certification pathways. Stay tuned for these course launches! 

The University of Denver is proud to be a member institution of the AWS Academy, giving students access to official Amazon Web Services (AWS) curriculum and learning resources that prepare them for industry-recognized certifications. 

man smiling at camera from his desk

Who should take this course?

  • Students exploring career paths in data science, machine learning, or AI 

  • Technical professionals seeking to apply ML solutions across industries 

  • Career changers ready to build foundational machine learning skills

Course Details

Requirements

This is an introductory-level course. To help ensure your success in this online, self-guided course, the following general competencies are required: 

  • General Knowledge 

    • IT Technical Skills

      • Foundational computer literacy skills including familiarity with computer concepts, email, file management, and effective internet use 

      • Completion of the AWS Academy Cloud Foundations course 

      • Intermediate skills with Python programming 

      • A basic understanding of applied statistics 

    • Business Awareness: Insight into how information technology is used in business, along with communication skills, leadership abilities, and a customer service orientation.  

  • Technical Background

    Learners who are best prepared to excel in this course typically have:  

    • Familiarity with cloud computing concepts 

    • A working knowledge of distributed systems 

    • Familiarity with networking fundamentals  

    • A working knowledge of multi-tier architectures 

Format

Designed with your busy schedule in mind, this course is:  

  • 100% online: Learn from anywhere 

  • Self-guided: Built for self-starters who want to drive their own learning experience and work at their own pace. 

  • 23 hours of content: Advance your skills and accelerate your career 

  • Skills-Based: Earn a digital badge by scoring 70%+ on graded activities

sunny scenic overview of campus

Ready to Enroll?

Sessions start monthly! Enroll and begin your course anytime within that month. You’ll have 5 months of access to course materials.

AWS Academy Machine Learning Foundations - November

Professional and Workforce Development (PWD)
$230.00 Starts 11/03/2025

AWS Academy Machine Learning Foundations - December

Professional and Workforce Development (PWD)
$230.00 Starts 12/01/2025

AWS Academy Machine Learning Foundations - January

Professional and Workforce Development (PWD)
$230.00 Starts 01/01/2026

What You'll Learn

  • Outcomes

    When you’ve completed this course, 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  

    • Identify how Amazon ML services for generative AI are used  

  • Course Outline

    • Module 1: Welcome to AWS Academy Machine Learning 

    • Module 2: Introducing Machine Learning 

    • Module 3: Implementing a Machine Learning Pipeline with Amazon SageMaker 

    • Module 4: Introducing Forecasting 

    • Module 5: Introducing Computer Vision 

    • Module 6: Introducing Natural Language Processing 

    • Module 7: Introducing Generative AI 

    • Module 8: Course Summary 

scenic view of DU

AWS Skill Builder Access

Enroll today and receive a complimentary 12-month subscription to AWS Skill Builder. This platform of over 600 self-paced courses, labs, and certification prep resources is designed to reinforce what you've learned and help you prepare for your AWS certification exam.