Lab 101 — Automobile Domain¶
Domain Context
In this lab, you'll build a foundational automotive management solution. You'll learn how to manage vehicle inventory, track service records, and create basic customer interfaces using the product's core features.
Scenario¶
You're working with AutoDrive Motors, a multi-location car dealership looking to modernize their operations. They need a solution to manage vehicle inventory, track service appointments, and provide customers with a seamless buying experience.
Available Use Cases¶
Select a use case to begin your hands-on lab:
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Vehicle Maintenance
The Vehicle Maintenance Assistant is an AI Agent designed to help car owners identify and understand vehicle issues by interpreting natural language inputs like “My car is shaking” or “Check engine light is on.” It combines real-time telematics data, diagnostic trouble codes (DTCs), and vehicle documentation to offer personalized, accurate diagnostics and actionable guidance such as finding nearby service centers, etc.
Learning Objectives¶
Regardless of which use case you choose, you will learn:
- Building AI Agents with Low-code Agent Builder
- Building AI Agents with pre-built tools and agents from the Catalog
- Connections in watsonx Orchestrate
- Knowledge Bases - Basic RAG
- Web chat embedding - Basic
- OpenAPI tools
- Monitoring & Observability