watsonx.ai: Introduction to Data Science and Generative AI

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. 

• 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

This course is intended for Data Scientists, AI Specialists, watsonx.ai Specialists, Solution Architects, or anyone interested in data science and gen AI.

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