MLOps2 (AWS): Data Pipeline Automation & Optimization Using Amazon Web Services

Training overview
Professional Course
Self-paced Online
4 weeks
From 149 USD

Start dates
149 USD
Start anytime

Course description

MLOps2 (AWS): Data Pipeline Automation & Optimization Using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services. In this course you will learn how to set up automated monitoring of your data pipeline for prediction. Data drift, model drift and feedback loops can impair model performance and model stability, and you will learn how to monitor for those phenomena. You will also learn about setting triggers and alarms, so that operators can deal with problems with model instability. You will also cover ethical issues in machine learning and the risks they pose, and learn about the "Responsible Data Science" framework.

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Who should attend?


Participants should have taken the first two courses (below)andbe comfortable working with Python in a cloud-based environment. Learners will gain maximum benefit if they have some familiarity with software development, including git, logging, testing, debugging, code optimization and security.

  • Predictive Analytics: Basic Modeling Techniques
  • MLOps1 (AWS): Deploying AI and ML Models in Production using Amazon Web Services

Training content

Week 1 – Drift and Feedback Loops

  • Module 1: Training Versus Inference Pipelines
  • Module 2: Drift & Feedback Loops

Week 2 – Triggers, Alarms & Model Stability

  • Module 3: Triggers & Alarms
  • Module 4: Model Stability

Week 3 – CI/CD (Continuous Integration & Continuous Deployment/Delivery)

  • Module 5: CI/CD

Week 4 – Model Security and Responsible AI

  • Module 6: Responsible AI

Course delivery details

This course is offered through, a partner institute of EdX.

5-6 hours per week


  • Verified Track -$149
  • Audit Track - Free

Certification / Credits

What you'll learn

You will learn how to set up automated monitoring of your data pipeline for prediction and get hands on experience with topics like data pipelines, drift and feedback loops, model stability, triggers & alarms, model security, responsible AI and much more.

But most importantly, by the end of this course, you will know…

  • How to meet the differing requirements of model training versus model inference in your pipeline
  • How to check for model drift, data drift, and feedback loops
  • How to apply the principles of Continuous Integration (CI), Continuous Delivery (CDE) and Continuous Deployment (CD)

About edX


edX For Business helps leading companies upskill their labor forces by making the world’s greatest educational resources available to learners across a wide variety of in-demand fields. edX For Business delivers high-quality corporate eLearning to train and engage your employees...

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141 Portland Street
02139 Cambridge Massachusetts

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