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IBM watsonx.ai: Rapid Machine Learning Model Development and Deployment with AutoAI

This IBM Self-Paced Virtual Class (SPVC) includes: - PDF course guide available to attendee during and after course - Lab environment where students can work through demonstrations and exercises at...

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$500 USD
Duration 7 hours
Course Code W7S555G-SPVC
Available Formats Self Paced

Overview

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

IBM watsonx.ai: Rapid Machine Learning Model Development and Deployment with AutoAI aims to familiarize data science and analytics professionals with the fundamentals of the IBM watsonx.ai AutoAI tool. This course walks users through creating IBM Cloud projects, building, and evaluating AutoAI experiments for various supervised machine learning and time series use cases, and finally, learners leverage Chat in the Prompt Lab for further analysis of the use case.

The course guides participants through AutoAI features, from model development to deployment, using a no-code approach for:

  • Classification models
  • Text classification models
  • Regression models
  • Time series models
  • Hyperparameter tuning
  • Model explainability
  • Data imputation
  • Model evaluation
  • Model testing
  • Deployment

Skills Gained

By the end of the course, learners will be able to:

  • Identify potential machine learning use cases applicable to AutoAI.
  • Differentiate problem types relevant to AutoAI experiments (Classification, Regression, Time Series).
  • Configure settings for various AutoAI experiments.
  • Evaluate pipelines and models produced by AutoAI experiments.
  • Recognize deployment strategies for AutoAI models.

Who Can Benefit

This course is intended for Data Scientists, AI Specialists, watsonx Specialists, Solution Architects, or anyone interested in AutoAI.

Prerequisites

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Course Details

The following topics will be covered throughout the course:

  • Introduction to AutoAI
  • Classification model development and deployment
  • Regression model development
  • Text classification model development
  • Time series model development
  • Model explainability

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

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.

What does GTR stand for?

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.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Overall ExitCertified is a great training provider and the remote learning is as effective as in person.

ExitCertified gave a great course on AWS that covered all of the basics in depth with good lab materials.

The class covered the concepts needed for the AWS Cloud Practitioner Certification.

The training was good but needed the basic skills of maximo before getting deep in the configuration of it.

I was very satisfied about how the course was organized. Sean Did a very good work