WORKSHOP | VIRTUAL

MLOps Hands-on Workshop for Domino Data Lab Partners

October 13, 2022
2 Hour Workshop
8:00am PDT / 4:00pm BST / 11:00am EDT

Staying current across the AI/ML landscape with Domino Data Lab

Note: This workshop is meant for Data Science Practitioners and ML Solution Architects from the Domino Service Partner Network.

Join this live virtual workshop to experience first-hand how companies can mature their data science lifecycle through MLOps best practices. This workshop will guide you through an end-to-end workflow while you learn about some new best practices. The workshop includes the following lab exercises:

Read in data from a live source
Prepare your data in an IDE (Integrated Development Environment)
Train your model on various frameworks
Compare model performance across different frameworks and select the best performing model
Deploy a model to a containerized endpoint and web-app frontend for consumption
Leverage collaboration and documentation capabilities throughout to make all work reproducible and shareable

Save your spot

What's in store for you

Prepare
Project & Data

Set up a project, add collaborators, define project goals, and set up data source

Develop
Model

Customize compute environment, leverage preferred IDEs, distributed compute frameworks, and run and track experiments

Deploy
Model

Run jobs, model API, web application, and share and collaborate

Meet the speakers

Ankur Sinha, Global Partner Solutions & GTM Lead at Domino Data Lab

Ankur Sinha is a Global Partner Solutions & GTM Lead at Domino Data Lab, focused on Professional Services Partner Ecosystem globally. He is responsible for enabling partners on Domino platform, build industry specific solution offerings and strategize & lead the joint go-to-market with the Partners. He has worked in technology and technology consulting for 14+ years focussed on Technology Strategy, Solution Selling & Execution prior to joining Domino.

Megan Engstrom, Partner Manager at Domino Data Lab

Megan Engstrom is a Partner Manager at Domino Data Lab, responsible for managing relationships with our regional consulting partners and OEM partners. She was formerly a Customer Success Manager at Domino Data Lab where she worked with many of our large enterprise customers to drive value from their implementation of Domino Data Lab across their organization. Her previous work experience includes consulting at a boutique sales effectiveness firm and sales engineering for a financial data & tech platform.