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Managing ModelOps with IBM Cloud Pak for Data V4.6
Course Description
Overview
This learning offering tells a comprehensive story of Cloud Pak for Data, and how you can extend the functions with services and integrations. You explore some of the services, and see how they enable effective collaboration across an organization. In this course, you use Watson Knowledge Catalog, Watson Query, and Watson Studio (including Data Refinery and AutoAI). You also examine some of the external data sets and industry accelerators that are available on the platform.
Objectives
By the end of this course, you will be able to:
- Describe the Cloud Pak for Data implementation stack
- Summarize the Cloud Pak for Data workflow that implements the ModelOps process
- Construct a simple predictive model that reflects a typical Data Fabric solution
- Examine external data sets and industry accelerators that promote trustworthy AI
- Select services that align to the goals of a data-driven organization
Audience
Solution Architects, Consultants, Data Specialists, Program Managers, and anyone who wants to explore how IBM Cloud Pak for Data supports the ModelOps process
Prerequisites
- Explain the purpose of Cloud Pak for Data and the value it brings to the business
- Describe the architecture of Cloud Pak for Data
- Differentiate between Cloud Pak for Data and Red Hat OpenShift Container Platform
- Define the AI Ladder and its associated roles and services
Before you start this course, you should be able to complete the following tasks:
You can review these skills in the Solution Architect - Associate learning path.
Topics
- Introduction
- Explore the Cloud Pak for Data environment
- Create a project for analyzing data
- Collect the data
- Govern the data
- Prepare the data
- Analyze the data
- Monitor the model
- Consider other scenarios
- Review and evaluation
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our IBM Cloud Badge Program →Related Courses
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Troubleshooting IBM Cloud Pak for Data (V4.5)
6XL631G- Duration: 6 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 815.00 USD
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Configuring IBM Cloud Pak for Watson AIOps Event Manager
TN412G- Duration: 16 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 1,630.00 USD
This course is eligible for the Managing ModelOps with IBM Cloud Pak for Data V4.6 - Code: 6XL736G
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
Upon receipt of the Order Confirmation Letter which includes your Enrollment Key (Access code); the course begins its twelve (12) month access period. IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (typically 30 days) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you apply the enrollment key. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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