When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises
This offering teaches you how IBM Watson OpenScale for IBM Cloud Pak for Data lets business analysts, data scientists, and developers build monitors for machine learning (ML) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift. You will also learn how explanations of predictions helps provide business stakeholders confidence in the AI being launched into production.
- Introduction to IBM Watson OpenScale
- IBM Watson OpenScale technical architecture
- Get started with IBM Watson OpenScale on IBM Cloud Pak for Data
- Overview of Watson OpenScale monitors
- Explore a use case for Watson OpenScale
- Configure a quality monitor
- Configure a fairness monitor
- Detect drift and configure the drift monitor
- Monitor a deployed model in production
Business Analysts, Data Scientists, Developers, Researchers, and others who need to monitor machine learning models
- Basic knowledge of cloud platforms, for example IBM Cloud
- Basic understanding of machine learning models, and how they are used
- IBM Cloud Pak for Data (V3.0.x): Foundations - 6X336G (recommended)
Introduction to IBM Watson OpenScale
- Describe the problem that Watson OpenScale solves
- Describe how Watson OpenScale can help
- Explain important terms in the contect of trust in AI
IBM Watson OpenScale technical architecture
- Describe Watson OpenScale architecture for IBM Cloud Pak for Data
- Describe Watson OpenScale components and services
- Describe the various types of data
Get started with IBM Watson OpenScale on IBM Cloud Pak for Data
- Describe the Watson OpenScale system setup
- Describe the Watson OpenScale data mart
- Set up a machine learning provider
- Specify the model details
Overview of Watson OpenScale monitors
- Identify the different Watson OpenScale monitors
- Describe explanations
Explore a use case for Watson OpenScale
- Describe how Watson OpenScale can provide trust in AI in a credit risk example
Configure a quality monitor
- Describe the type of data required to monitor quality
- Explain quality metrics for categorical labels
- Explain quality metrics for quantative labels
- Configure a quality monitor
- Explain predictions
Configure a fairness monitor
- Explain the idea behind assessing fairness
- Describe the type of data required to monitor fariness
- Configure a fairness monitor
Detect drift and configure the drift monitor
- Describe the two types of drift
- Describe the type of data required to monitor fariness
- Configure a drift monitor
Monitor a deployed model in production
- Put a model monitor into production
- Provide feedback data for the quality monitor
- Provide payload data for the fairness and drift monitor
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.
If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
We have training locations across the United States and Canada. View a full list of classroom training locations.
At ExitCertified we offer training that is Instructor-Led, Online, Virtual and Self-Paced.
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.
Had a good time taking course with ExitCertified. The Data Science course with Python was really laid out well and it was very easy to understand and navigate. The setup using Anaconda was really good and it was easy to follow along and do the practise exercises.
Great experience, instructor was professional and he did very well presenting the course material. Great for refresher or high level introduction to the material.
I was really happy with the overall experience of attending a remote course through ExitCeritfied.
Everything went well. Enrollment process was easy and I always felt welcomed throughout the whole experience.
Excellent class and instructors. Pace was a good mixture of challenging without being overwhelming.