In this module, you will build, end to end, your first working AI assistant in a self-service watsonx Orchestrate free-trial environment. The build is scoped to a realistic business scenario — such as employee onboarding queries, supplier-invoice intake, or simple HR self-service — so the design choices stay business-led rather than technical. You will scope the assistant, write instructions and example dialogs that shape its behavior, wire in pre-built skills, and test and iterate against representative requests. The lab produces a complete working assistant with screenshots and a short reflection.

Real automation depends on real data. In this module, you will learn how AI assistants connect to enterprise systems and data sources, what a business analyst needs to specify versus what IT will deliver, and how to think about data quality, freshness, and access control. You will work with integration patterns across HR, CRM, ERP, ITSM, and knowledge bases. The lab has you connect your Module 2 assistant to two data sources in your free-trial instance and write integration requirements for a third.

In this module, you will bring everything together into one of the highest-value patterns in scope: assistants that handle intake, classify and triage incoming work, route it appropriately, and hand off to humans when warranted. You will design conversational intake that produces structured data, configure triage and classification logic, build routing rules, and implement explicit human-in-the-loop checkpoints and exception paths so the assistant fails gracefully. The lab extends your Module 2 assistant into a complete intake-triage-routing flow tested against a provided test pack.

In this final module, you will assemble everything from Modules 1 through 4 into a cumulative project: an End-to-End AI Assistant Build. The deliverable is a configured, working assistant in your watsonx Orchestrate free-trial instance, an instructions document with example dialogs, integration specifications for connected and pending data sources, and a complete intake-triage-routing flow with human-in-the-loop checkpoints and exception paths, evidenced by screenshots and a short test report. The module closes with a wrap-up featuring an SME interview, a day-in-the-life view of an Automation Designer, and a bridge into Course 3's deployment, governance, and scaling work.