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IBM watsonx.ai: Preparing Data for Prompt Tuning with IBM Data Refinery
Course Description
Overview
In this course, you will learn how watsonx.ai can help you put AI to work in your business. You begin by generating synthetic data which mimics enterprise data, then use the data refinery to quickly transform that raw data into consumable, high-quality information that's ready for analytics through data preparation methods such as data cleansing and data shaping. Finally, you use that transformed data to tune a foundation model for a classification use case. The course has a large practical component with hands-on exercises on generating data, cleansing and shaping data, and prompt tuning, in order to solve several use cases.
Objectives
After completing this course, you should be able to:
- Differentiate between data cleansing and data shaping
- Identify use cases where synthetic data may be used to augment or replace real data
- Compare the differences between data profiling and data visualization
- Understand the categories of operations and functions based on data needs
- Administer Data Refinery flow tasks and jobs
- Examine the differences between prompt tuning and prompt engineering and experiment with foundation models in watsonx.ai
Audience
Professional data scientists that are working with IBM watsonx.ai
Topics
- Introduction
- Generate synthetic data
- Profile and visualize data
- Prepare, analyze, and transform data
- Manage Data Refinery flows
- Prompt Tuning
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 Badge Program →
This course is eligible for the IBM watsonx.ai: Preparing Data for Prompt Tuning with IBM Data Refinery -Code: W7L173G
Need Help?
Call us at 877-206-0106 or e-mail us at info@learnquest.com
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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