Skip to main Content

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.

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

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

    $2,650.00

Request a date or location for this course

Dates in Other Countries

We Care About Your Privacy

We are using cookies to give you the best experience on our site. Cookies are files stored in your browser and are used by most websites to help personalise your web experience. By continuing to use our website without changing the settings, you are agreeing to our use of cookies.

About your Privacy

We process your data for purposes such as delivering content or advertisements and measuring the delivery of such content or advertisements to extract insights about our website. We may share this information with our partners. Cookies set by Global Knowledge are labelled “first party”; you may exercise your preferences in relation to first party cookies by toggling the switch for each first party cookie category below. The remaining cookies are third party cookies; you may exercise your preferences in relation to each purpose by toggling the relevant switch below or by vendor by clicking “List of IAB Vendors.” These choices will be signaled globally to other websites participating in the Transparency and Consent Framework.
Privacy Statement

Necessary Cookies

These are cookies that are required for the Global Knowledge website to function and cannot be switched off in our systems. They include, for example, cookies that enable you to use a shopping cart or log into the booking area of our website.

Analytics Cookies

Analytics cookies are an optional but important part of our website's functionality. They help us to understand how you interact with our site by collecting and reporting information anonymously. The data collected by analytics cookies is used to improve the website's performance and enhance the user experience. It is important to note that these cookies do not collect any personal information that can be used to identify you.

Preferences Cookies

The preference cookies are used to track visitors across websites with the intention to display ads that are relevant and engaging to your interests.

Performance Cookies

These cookies allow us to recognise and count the number of visitors to our website, traffic sources and to see how website visitors move around the website when they are using it. This helps us to improve the way the website works and improve your website experience. All information these cookies collect is aggregated and therefore anonymous.

Marketing Cookies

Marketing cookies help us understand how visitors interact with our website. Should you grant consent for marketing purposes, this information will be used for general marketing analysis — allowing us to measure the effectiveness of our campaigns, better understand our audience, and improve the content and offers we provide. These cookies are not essential to the website’s function, and you may withdraw or amend your consent at any time through our cookie settings.

Cookie Control toggle icon