watsonx.ai: Introduction to Data Science and Generative AI
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Descripción
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.
Objetivos
- 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
Audiencia
This course is intended for Data Scientists, AI Specialists, watsonx.ai Specialists, Solution Architects, or anyone interested in data science and gen AI.
Temario
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