Open-source ML observability course

Welcome to our free Open-source ML observability course! Join us to learn production ML monitoring.

The 2023 cohort has completed. Sign up to be notified when the next cohort starts.
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About this course

  • Practice-oriented

    We will walk you through the code examples and provide end-to-end deployment blueprints.

  • Open-source focused

    You will work with tools like Evidently, MLflow, Airflow, and Grafana.

  • Free

    This course is free. Let ML observability be accessible to all!

Course syllabus

Our course is organized into six modules.

  • Module 1: Introduction to ML monitoring and observability

  • Module 2: ML monitoring metrics: model quality, data quality, data drift

  • Module 3: ML monitoring for unstructured data: NLP, LLM and embeddings

  • Module 4: Designing effective ML monitoring

  • Module 5: ML pipelines validation and testing

  • Module 6: Deploying an ML monitoring dashboard

Meet your instructor

Emeli Dral

Co-founder and CTO, Evidently AI

Emeli Dral is a Co-founder and CTO at Evidently AI, a startup developing open-source tools to evaluate, test, and monitor the performance of machine learning models. ‍ Earlier, she co-founded an industrial AI startup and served as the Chief Data Scientist at Yandex Data Factory. She led over 50 applied ML projects for various industries: from banking to manufacturing. Emeli is a data science lecturer at GSOM SpBU and Harbour.Space University. She is a co-author of the Machine Learning and Data Analysis curriculum at Coursera with over 150,000 students.

FAQ

  • Is the course free?

    Yes, the course is 100% free.

  • When does the course start?

    The 2023 cohort has completed. Sign up to be notified when the next cohort starts: https://www.evidentlyai.com/ml-observability-course

  • How is the course structured?

    The course is organized into six modules. Each module consists of on-demand videos and practical code examples.

  • How long does it take to complete the course?

    The course lasts seven weeks.

  • Are there any course prerequisites?

    There are both theoretical and code-focused modules that require knowledge of Python.

  • What if I need help?

    Jump to our Discord #-ml-observability-course channel to chat with fellow learners and get support from the course team: https://discord.gg/PyAJuUD5mB.

  • Where can I find course materials?

    We published all 40 lessons with videos, course notes, and code examples so you can learn at your own pace: https://learn.evidentlyai.com/

  • Is there a newsletter?

    Yes, sign up here to receive course updates and be notified when the next cohort starts: https://www.evidentlyai.com/ml-observability-course

Let ML observability be available to all

Join us to learn production ML monitoring. Sign up to be notified when the next course cohort starts.

SIGN UP FOR FREE