ML Ops - Experimentation and Model Registry

Learn the principles, techniques, and applications of ML experimentation and model registry.

Week 1

Introduction to ML Experimentation

This module covers the basics of ML experimentation, including the importance of experimentation, A/B testing, and design of experiments. Students will learn how to design and run experiments to evaluate machine learning models.

Week 2

Model Registry

This module covers the concepts and use cases of model registry. Students will learn how to organize, version, and deploy models using a model registry system.

Week 3

Causal Inference with Experimental Data

This module covers the continuous integration and deployment of machine learning models. Students will learn how to automate the entire ML lifecycle, from data collection and preprocessing to model training and deployment.

Week 4

Monitoring and Feedback

This module covers the importance of monitoring and feedback in ML systems. Students will learn how to monitor the performance of machine learning models in production, collect feedback from users, and improve the models over time.

Apply

A learning approach that aligns with your company values.

Self-guided

Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.

Apply

Collaborative

Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.

Apply

Engaging

Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.

Apply

Project-based

Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.

Apply

Trusted by teams from global companies

Frequently asked questions

Are all sessions live?

Yes, all sessions during the cohort will be live with the instructor. However, we will record each session and make them available for everyone in the cohort.

What is the time commitment?

Our courses typically have 2-4 modules, with each module lasting for approximately 2h per week which you can block out on your calendar during your work day. You also get some take home projects that you can complete at your own pace.

Do I earn a certificate for this course?

Of course! Once you’ve completed the course modules, you will get a certificate of completion that you can showcase to the world.

What is included in a LearnCrunch membership?

With your LearnCrunch yearly membership, you get access to our live instructor-led cohorts, our catalog of self-guided courses, unlimited real-world projects to learn from and master new skills, exclusive live events for members and a vetted global community of experts and peers.

How much does a LearnCrunch membership cost?

An individual LearnCrunch membership costs $1,000 USD per year. If your company is interested in purchasing multiple seats, please contact hello@learncrunch.com.

Can I expense this course?

Yes. Most LearnCrunch members have expensed this course through their Learning & Development budget, similar to how you expense conferences. You can use this email template to request expense approval from your manager.

I have more questions. Get in touch with us!

If you have more questions, email us at hello@learncrunch.com.

Book a call with us

Victor Chima

Co-Founder at LearnCrunch

Connect with us to learn how we can help you grow your team.

Fill in your details and we’ll reach out to you within 24h.