This series ended on 2020 June 04. 
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You can watch the session recordings below (see session resources).


Most of the machine learning is focused on building models. But productionizing machine learning takes more than building a model. We need to figure out train the model at scale, how to effectively use GPU and Cloud technologies. And finally how to test, deploy and monitor models.

This series will focus on Machine Learning Engineering (MLE) and DevOps.

This series is organized as weekly sessions.  Each session is independent.  So you can pick and choose which sessions you want to attend.

This is part of our Learning Series.

This is a live, instructor-led, virtual class.

Can’t attend a live class?
No worries.  Sign up and we will email you recordings once they are ready.

This series ended on 2020 June 04. 
Sign up here to be notified of future sessions

(registration button removed)

Intended Audience

Developers, DevOps, Data Scientists

Series Resources


  • Some knowledge of machine learning is preferred but not required
  • A background in development, data science

What to Bring

  • We will provide code snippets for you to learn and experiment
  • Please bring a reasonably modern laptop (Corporate laptops with overly restrictive firewalls may not work well;  Personal laptops are recommended)
  • Want to setup a Machine Learning environment  on your laptop?

Session Format

  • Each session is about 2 hours
  • lectures + hands-on


Sujee Maniyam

Sujee Maniyam is a seasoned practitioner and founder of Elephant Scale.  He teaches and consults in AI (machine learning and deep learning) and Big Data  (Hadoop, Spark, NoSQL) and and Cloud technologies.  

He is an open source contributor, author ( ‘Hadoop illuminated‘ and ‘HBase Design Patterns‘)  and speaker at conferences.  He also advises and mentors various companies and organizations.

Linkedin  |  Github

Mike Kane

Mike Kane is a Senior Data Scientist specializing in Natural Language Processing. He has a passion for Deep Learning, and has professionally trained teams from multiple Fortune 100 companies in ML and AI

Linkedin  | Github


Session Recordings (On-Demand)