MLOps Starter (Virtual Instructor-led)

This mission provides a high-level overview of the challenges associated with productionizing ML models, and how DataRobot MLOps can be used to address these challenges. You will also learn about the issues that affect the deployment, monitoring, management, and governance of ML models, enabling you to make informed decisions when considering ML model deployment.

Mission format and duration: virtual instructor-led, 2.5 hours

By the end of this mission, you will understand:

• How MLOps facilitates model deployment and management
• The monitoring capabilities of MLOps
• Important ML operations concepts including model decay, data drift, concept drift, Humble AI, challenger models, and ML model governance

Who should complete this mission?

Those who want to learn about the productionizing of ML models but who might not have a technical background or ML model deployment experience. Possible roles include managers, business decision-makers, DevOps administrators, IT administrators.

For those who do not have prior ML deployment experience, this mission is a prerequisite for MLOps I.

Technical requirements

• Chrome browser
• The latest version of Zoom

Completion requirements

Attendance at the instructor-led session as well as passing the skills assessment is required to complete the mission.

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

PST/PDT: Americas/Pacific (San Francisco/Seattle) 
EST/EDT: Americas/Eastern (Boston/New York/Washington DC)
GMT/BST: Europe/UK (London) 
SGT: Asia/Singapore (Singapore)
AEST/AEDT: Australia/Eastern (Sydney/Melbourne)  

Important note

To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days prior to the start of the session. Please refer to our Education Services Policies for additional info.