IBM watsonx basics

• Create a project
• Collaborate in projects
• Tour the Resource Hub
• Load and analyze public data sets

Work with data

• Prepare data with Data Refinery
  
• Generate synthetic tabular data
  
• Analyze data in a Jupyter notebook
  

Build ML models

• Build a model with AutoAI
  
• Build a model in a Jupyter notebook
  
• Build a model with SPSS Modeler
• Build a Decision Optimization model
• Automate the ML lifecycle with pipelines

Use the Prompt Lab

• Prompt a foundation model in Prompt Lab
• Tips for prompting foundation models
• Use Chat mode in Prompt Lab

Work with foundation models

• Introduction to the RAG pattern
• Why tune a foundation model?
• Tune a foundation model
• Deploy a custom foundation model
• Deploy a foundation model on demand

Govern AI

• Track a model in an AI use case
  
• Evaluate a prompt template
  
• Track a prompt template
  
• Evaluate a machine learning model
  
• Evaluate a deployment in spaces
  
• Set up integration with OpenPages
  
• Create an AI use case in OpenPages
  

Other IBM watsonx.ai videos

• Classify text
• Summarize large, complex documents
• Generate content
• Extract text from complex documents

Other IBM watsonx.governance videos

• Tracking and transparency
• Model evaluation and documentation