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Cloud Computing & DevOps

The Machine Learning Pipeline on AWS

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  • Overview

    Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so you’ll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You’ll have a choice of projects: fraud detection, recommendation engines, or flight delays.

  • Who Should Take This Course

    AUDIENCE

    • Developers
    • Solutions architects
    • Data engineers
    • Anyone who wants to learn about the ML pipeline via Amazon SageMaker, even if you have little to no experience with machine learning

    PREREQUISITES

    • Basic knowledge of Python
    • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
    • Basic understanding of working in a Jupyter notebook environment
  • Why You Should Take This Course

    This course will prepare you to:

    • Select and justify the appropriate ML approach for a given business problem
    • Use the ML pipeline to solve a specific business problem
    • Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
    • Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
    • Apply machine learning to a real-life business problem after the course is complete
  • Schedule
  • Course Outline

    Day 1

    • Module 0: Introduction
    • Module 1: Introduction to Machine Learning and the ML Pipeline
    • Module 2: Introduction to Amazon SageMaker
    • Module 3: Problem Formulation

    Day 2

    • Module 3: Problem Formulation (continued)
    • Module 4: Preprocessing

    Day 3

    • Module 5: Model Training
    • Module 6: Model Evaluation

    Day 4

    • Module 7: Feature Engineering and Model Tuning
    • Module 8: Deployment
  • FAQs
    Is there a discount available for current students?

    UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

    What is the cancellation and refund policy?

    Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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