About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Overview
IBM Watson Studio simplifies the process of experimentation to deployment, as well as data exploration, model development, and training. It lets you build, run, and manage AI models, and optimize decisions anywhere on IBM Cloud Pak for Data. You can bring together open source frameworks like PyTorch, TensorFlow, and scikit-learn with IBM for code-based and visual data science.
Skill level
Beginner
Estimated time to complete
Approximately 2 hours.
Learning objectives
With this learning path, you learn:
- What is Watson Studio?
- Data science methodologies
- Common architectures
- Data understanding, visualization, preparation, and transformation
- How to build, deploy, and trust models by using AutoAI, Jupyter Notebooks, and SPSS Modeler
- Testing the model
