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watsonx.ai: Introduction to Data Science and Generative AI
Course Description
Overview
In this course, students will learn to use scientific methods, processes, and algorithms to identify patterns, trends, and insights from data - with the goal of enabling better decision-making. Students will use watsonx.ai to synthesize skills from statistics, computer science, and management information systems to analyze and interpret complex datasets. This course includes a practical component with hands-on exercises focused on collecting, preparing, mining, and visualizing data and then building a machine learning and foundation model with methods on how to deploy them.
Objectives
- Understand data concepts and tools
- Learn how to transform, mine, and visualize data
- Build machine learning, large language, and foundation models
- Deploy and measure model performance
Audience
This course is intended for Data Scientists, AI Specialists, watsonx.ai Specialists, Solution Architects, or anyone interested in data science and gen AI.
Topics
Section 1 - Introduction to data science
Section 2 - Tools for data analysis
Section 3 - Data analysis and visualization
Section 4 - Machine learning and methodology
Section 5 - MLOps, deployment, and observability
Section 6 - Data Science and Generative AI
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 watsonx.ai: Introduction to Data Science and Generative AI - Code: W7L187G
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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