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MLOps Engineering on AWS

This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy machine learning (ML) models. The course is based on the four-level MLOPs maturity framework. The course focuses on the first three levels, including the initial, repeatable, and reliable levels. The course stresses the importance of data, model, and code to successful ML deployments. It demonstrates the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course also discusses the use of tools and processes to monitor and take action when the model prediction in production drifts from agreed-upon key performance indicators.

Delivery Format

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

4 courses found

    • Delivery Format: Virtual Learning
    • Date 02-04 February, 2026 | 9:00 AM to 5:30 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £2,595.00

    • Delivery Format: Virtual Learning
    • Date 13-15 April, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £2,595.00

    • Delivery Format: Virtual Learning
    • Date 17-19 August, 2026 | 9:00 AM to 5:30 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £2,595.00

    • Delivery Format: Virtual Learning
    • Date 02-04 September, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £2,595.00

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