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MLOps Essentials: Model Deployment and Monitoring Preview

MLOps Essentials: Model Deployment and Monitoring

With Kumaran Ponnambalam Liked by 301 users
Duration: 1h 24m Skill level: Intermediate Released: 10/7/2022

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Course details

Suggested Prerequisites

Machine learning operations (MLOps) is one of the fastest growing subfields of artificial intelligence. In this course, instructor Kumaran Ponnambalam shows you how to deploy and monitor ML models to create structured, improved outcomes in your everyday workflow.

Learn how to implement MLOps to:

  • Create smooth upgrades of models in production on your next machine learning project.
  • Ensure continuous delivery with deployment pipelines, rollout strategies, infrastructure, and best practices.
  • Pattern, scale, build resilience, optimize, and utilize automation management tools for model serving.
  • Use monitoring pipelines, observability, metrics, production data, alerts, and thresholds for continuous monitoring.
  • Manage concept drift and feature drift, retraining models when necessary.
  • Practice effective, fair, explainable, secure, and responsible artificial intelligence.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.5 out of 5

206 ratings
  • 5 star
    Current value: 140 68%
  • 4 star
    Current value: 38 18%
  • 3 star
    Current value: 19 9%
  • 2 star
    Current value: 4 2%
  • 1 star
    Current value: 5 2%
  • John McGuire John McGuire

    John McGuire

    Strategic Program & Project Management Leader | 20+ Years Driving Complex, High-Impact Initiatives | Expert in Agile, Portfolio Management, and…

    5/5 July 25, 2024
    Great primer for MLOps
    Helpful · Report
  • Jay Lathia Jay Lathia

    Jay Lathia

    Sr. Lead Software Engineer at Thomson Reuters | Tech Lead | Mentor | POC Engineer | TR Top Learner

    2/5 December 29, 2023
    Not at all interactive, the instructor is going at a pace like reading a book continuously. It starts to feel boring. In this digital era, if we want to just have theory sentences, then anyone can learn from ChatGPT and other libraries. We need a good animation and interactive learning of the modals and how it interacts with actual areas.
    Helpful · Report
  • Appala Raju Chapala Appala Raju Chapala

    Appala Raju Chapala

    C/C++, Java, Python, IoT Telemetry Firmware, Embedded Systems, Linux, TCP/IP, AI/ML, Technical Project Management, Agile, AWS, VoIP/SIP

    4/5 November 30, 2023
    Yes I would recommend for basic MLOps understanding
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 6 quizzes
  • Learn on the go Access on tablet and phone
  • Stay up to date Continuing Education Units

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