Machine Learning Engineering for Production with Andrew NG (MLOps)

An event celebrating the launch of Machine Learning Engineering for Production (MLOps) Specialization featuring AI leaders in MLOps



Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.

Earlier last month, DeepLearning.AI launched a much anticipated Machine Learning Engineering for Production (MLOps) Specialization. It covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this efficiently, as well as important concepts in the emerging fields of MLOps and data-centric AI.

To celebrate the launch of the new program, we are pleased to invite you to join us on June 30 for our live virtual event where our instructors for the MLEP Specialization are joined with industry speakers to talk about machine learning engineering for production, as well as a sneak peek of the MLEP Specialization.


Andrew Ng, Founder, DeepLearning.AI

Robert Crowe, TensorFlow Developer Engineer, Google

Laurence Moroney, AI Advocacy Lead, Google

Chip Huyen, Adjunct Lecturer, Stanford University

Rajat Monga, co-founder, Stealth Startup; Former lead of TensorFlow, Google

Event moderator: Ryan Keenan, Director of Product, DeepLearning.AI

The event will start off with an overview of the Specialization, a panel discussion, and follow with a Q&A session. We’ll be using Slido for Q&A. Please note that only the people who sign up for the Slido ticket will have access to Slido to post and upvote questions.

We will send you the livestream link 3 days before the event.

Can’t attend the live YouTube event? Don’t worry. Register now to get the recorded session.

The event is finished.


Jun 30 2021


1:00 pm - 2:00 pm

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