IBM Watson & watsonx
Master IBM's enterprise AI platform. Learn watsonx.ai for model training and inference, watsonx.data for AI-ready data, watsonx.governance for trusted AI, and Watson Assistant for conversational AI.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Overview of IBM's AI portfolio, the watsonx platform, and how it serves enterprise AI needs.
2. watsonx.ai
Train, validate, tune, and deploy foundation models and ML models with watsonx.ai studio.
3. watsonx.data
Fit-for-purpose data store for AI workloads with open lakehouse architecture and query federation.
4. watsonx.governance
Monitor, govern, and explain AI models with automated compliance and risk management.
5. Watson Assistant
Build enterprise-grade conversational AI assistants with natural language understanding and integrations.
6. Best Practices
Enterprise deployment patterns, security, hybrid cloud strategies, and responsible AI practices.
What You'll Learn
By the end of this course, you'll be able to:
Foundation Models
Train, fine-tune, and deploy foundation models including IBM Granite for enterprise use cases.
AI-Ready Data
Prepare and manage data for AI workloads using watsonx.data's open lakehouse architecture.
AI Governance
Implement model monitoring, bias detection, explainability, and regulatory compliance.
Conversational AI
Build and deploy multi-channel virtual assistants with Watson Assistant.
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