Featured resources
Resources
Webinars
Spring 2021: Data science and AI webinar series
Learn what’s next in AI and how to benefit from the latest innovations by watching this 5-part series.
Winter 2020: Data science and AI webinar series
Explore the path forward on scaling AI and data science by watching this 5-part series.
DevOps for AI, featuring Forrester
Gain an understanding of why enterprises need DevOps for AI and how the two are coalescing into ModelOps.
Forrester: AI factory and DevOps for AI
Discover methods and best practices for testing and delivery of AI models using a factory approach.
IBM Innovation Preview on AI and lifecycle automation
Learn about scaling AI engineering and ModelOps to realize the full potential of AI investments.
Forrester: Top 10 AI and technology trends
Hear two leading analysts on macro dynamics, IT investment, AI best practices and emerging tech in 2022.
White papers, solution briefs and infographics
The data and AI platform buyer’s guide
Get your questions answered as you consider the right data and AI platform to accelerate digital transformation and achieve successful ROI.
IBM Cloud Pak for Data solution brief
Get an overview of the IBM Cloud Pak® for Data platform, where you can implement Watson Studio across multiple clouds.
Watson Studio solution brief
Get an overview of how this product helps data scientists and business analysts build, train and manage models and deliver AI-powered applications.
Simplify managing model risk
Discover 5 ways to simplify AI model risk management.
IBM Research on bias mitigation
Follow this framework to learn how to maintain model fairness.
Communities and documentation
Github repository
Find demos, tutorials, sample apps and more for data science with IBM.
Get started documentation
See more of what you can do with Watson Studio on IBM Cloud Pak for Data as a Service, including videos for key tasks.
Open source frameworks
Train and deploy machine learning models using popular tools, libraries and frameworks.
Product tours and tutorials
IBM Machine Learning Accelerator
Get started with this end-to-end deep learning platform by learning about its features.
Creating SPSS modeler flows
Learn how to graphically build and evaluate machine learning models using the IBM® SPSS® Modeler flow feature.
Modeler flows product tour
Create an SPSS machine learning model that evaluates customer churn risk and scores records.
Demo videos
Neural network modeler tool
See how quickly a model can be built using this tool for deep learning experiments.
Model deployment
Learn how to build and prototype models, monitor deployments and retrain models on new data.
Decision optimization modeling
See how to use a modeling assistant to build a decision optimization model for supply demand planning.
Training and certification
Learning journey
Explore demos, e-learning courses and badge quizzes to build foundational knowledge and validate skills.
How-to videos
See how to increase productivity working in a single environment with leading open source and IBM software.
Watson Studio Basics
Learn more in this video, which is part of the Solution Architect, IBM Cloud Pak for Data product certification.
ML rapid prototyping course
Learn how to create an automated pipeline in this course, Machine Learning Rapid Prototyping with IBM Watson Studio.
How-to documentation for popular tasks
Refine data
Use the Data Refinery within IBM Cloud Pak for Data to clean and shape tabular data with a graphical flow editor.
Create Jupyter notebooks
See how create a notebook file, use a sample notebook, or bring your own notebook to Watson Studio on IBM Cloud Pak for Data.
Code and run a notebook
Find the steps and videos showing how to code and run an open source notebook.
Build models visually
Prepare data quickly and develop models visually with SPSS Modeler in Watson Studio.
Get started with AutoAI
Learn about this no-code approach to building and deploying a machine learning model.
Use decision optimization
Learn about using IBM’s industry-leading decision optimization solutions within Watson Studio.
Prepare models for monitoring
See how to use IBM Watson® OpenScale™ to track and monitor models for quality, fairness and drift metrics.
Manage model risk
Learn about using the model risk management solution to compare and evaluate models.
Useful links
Get started
Predict and optimize outcomes with AI and machine learning models.