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ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS®

2h 19m + Hands-On Practice

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ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS®

BDH : BDH22

Companies need to continually adapt to changing business conditions. They can make informed decisions with the help of predictive models, but many businesses still struggle with getting models into production in a reasonable timeframe. This course describes how awareness of ModelOps (model operations) can streamline the journey from preparing data, building models, and deploying them in production environments to managing their performance. Proven DevOps (development operations) disciplines are evolving into the unique practice of deploying models in today’s environment.
Use of SAS Container Runtime and SAS Model Risk Management are also addressed, as are pointers about administrating a production environment.
This course helps candidates prepare for the SAS Certified ModelOps Specialist exam along with the topics covered in the Managing Models in SAS Viya course.

Learn How To

Distinguish ModelOps from DevOps.
Use corporate culture as a positive influence on modeling outcomes.
Control the process of deploying models with the ModelOps approach.
Recognize the hidden impact of model risk.
Deploy models in the cloud using SAS Container Runtime.
Set up administration of the SAS modeling environment.

Who Should Attend

Anyone who needs to know what ModelOps is; anyone responsible for managing the deployment of models in a production environment; operations team members that support model deployment and administration; modeling team leaders wanting to get hands-on experience with ModelOps management software; and those preparing for the SAS Certified ModelOps Specialist exam.

Prerequisites

Although not required, it is highly recommended that students complete the Managing Models in SAS Viya course.

SAS Products Covered

SAS Model Manager

Course Outline

Introduction to ModelOps

Introduction to ModelOps.
Current state of models.
Objectives of ModelOps.
DevOps principles and values background.

The Analytics Life Cycle

A blueprint for ModelOps.
ModelOps initiation phase.
DataOps and model building.
The Register, Document, Validate, and Test phases.
Deploying models.
Monitoring performance.

Model Risk and Governance

SAS Model Risk Management.

SAS Container Runtime and Administration Concepts

SAS Container Runtime.
SAS Model Manager administration concepts.

Live Class Schedule

Duration: 7 hours

Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.

This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.

Private Training

Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.

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Mentoring Services

Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.

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