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MLOps Fundamentals

MLOps Fundamentals is a comprehensive guide to the principles, components, and tools used in Machine Learning Operations (MLOps). It provides a thorough understanding of the machine learning lifecycle, MLOps lifecycle, and the benefits and tools involved, such as MLFlow and KubeFlow.

We will take a look at setting up an ML project, including using Git and GitHub, setting up virtual environments, and pre-commit hooks. The course will then delve into the fundamentals of data management, such as understanding data lifecycles, data versioning, governance, and storage solutions.

Practical, hands-on demonstrations will be provided on Exploratory Data Analysis (EDA), feature engineering, and data cleaning using pandas and matplotlib. The course will further explore the concept of feature stores, their types, working, best practices, and implementation challenges.

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Delivery Format

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

8 courses found

    • Delivery Format: Virtual Learning
    • Date 30 November-02 December, 2026 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 16-18 December, 2026 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 22-24 February, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 26-28 April, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 21-23 June, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 09-11 August, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 18-20 October, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

    • Delivery Format: Virtual Learning
    • Date 06-08 December, 2027 | 8:30 AM to 4:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,195.00

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