What is MLOps?

MLOps for Business

Arne Jonas Warnke

Head of Emerging Curriculum

Course Outline

Chapter 1

  • What is MLOps?
  • Business arguments and prerequisites

Chapter 2

  • MLOps life cycle

Chapter 3

  • From theory to practice
    • E.g., business risks
    • Making MLOps teams shine

Chapter 4

  • Best practices
  • Pitfalls
  • Case study
MLOps for Business

Prerequisites

$$ DataCamp's Machine Learning for Business course

$$

Please take a course such as DataCamp's

before starting this course.

MLOps for Business

What is MLOps?

Machine Learning Operations

Derived from DevOps which integrates

  • Software development (Dev) and

  • IT operations (Ops)

into one unit

MLOps applies successful DevOps-principles to data science & machine learning

DevOps

MLOps for Business

What is MLOps (continued)?

Emerging set of concepts, tools and best practices to

  • Standardize,
  • Streamline, and
  • Automate

machine learning development and operations.

Allowing businesses to operate hundreds of ML models in parallel

MLOps for Business

Supply chain forecasts

Imagine a monthly key product forecast

  • Standardize

    • Run each available model for each product

  • Scaling and streamline

    • Forecast all products
    • Move to weekly or daily predictions
  • Automate
    • Automate all forecasts and tests

$$

Supermarket shelf

MLOps for Business

How is MLOps used

Applications are

  • Automated translation
  • Self-driving cars
  • Customer recommendation engines
  • Predictive maintenance
  • Search engine optimization

MLOps for Business

Benefits of MLOps

Well-designed MLOps applications will be

  • Scalable
  • (largely) Automated
  • Stable
  • Maintainable and adaptable
MLOps for Business

Let's practice!

MLOps for Business

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