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IBM Certified watsonx AI Assistant Engineer v1 - Professional — Requirements & Free Practice

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IBM Certified watsonx AI Assistant Engineer v1 - Professional

IBM professional certification validating design, build, deployment, and back-end integration of watsonx Assistant solutions.

Licensing authority: IBM

Initial by examination
IBM watsonx AI Assistant Engineer v1 - Professional
Availability
Live English exam without a published withdrawal date. Future appointments depend on availability; no particular seat is guaranteed for 2026-11-25 through 2027-02-28.
Award Requirement
Pass C1000-180 and accept the IBM Certification Agreement before issuance.
Preparation
IBM presumes on-the-job experience and recommends learning resources and a preparedness assessment; classes do not guarantee certification. Study Guide p. 8 presents conditional scheduling advice after an assessment pass, while p. 2 characterizes the assessment as a preparedness indicator. The current credential Requirements list identifies only C1000-180, and the current examination record has no prerequisite examination. No additional mandatory assessment is inferred.
Registration
Schedule through Pearson VUE with a candidate profile; test-center candidates must bring required identification. Online proctoring requires an appropriate private environment and system test.
School Arrangements
No mandatory course, school enrollment, or institution-specific arrangement is established by the in-scope requirements.

IBM watsonx AI Assistant Engineer v1 - Professional

Provider
Pearson VUE; IBM-managed events are also described by the official delivery provider.
Format
English proctored answer-scored certification examination; the current owner record enables multiple-choice, build-list and hot-area item types without publishing their shares.
Exam questions
Total questions: 60.
Time limit
90 minutes
Passing score
40 questions to pass
Exam fee
Indicative United States price: $200 USD; applicable taxes and locale availability may affect purchase.
Examination outline
  • Conversational AI Design (16%)
    • Understand industry use cases
    • Apply conversational design best practices
    • Design conversational flow
    • Design a handoff strategy / Live Agent transfer
    • Design domain, channel, topic, content, and integrations
  • Build conversational flows (20%)
    • Build actions and responses
    • Configure the built-in AI capabilities
    • Debug and test
  • Build back-end integrations (10%)
    • Build extension to integrate with external services
    • Understand and implement webhooks
  • Integrate with watsonx (12%)
    • Integrate with watsonx.ai for generative AI capabilities
    • Build conversational search using the RAG pattern
  • Multi-modal integration (10%)
    • Understand cross-channel management
    • Integrate with telephony, SMS, and other channels
    • Build digital web chats
  • Analyze and improve the assistant (12%)
    • Use analytics to review the Assistant
    • Improve performance of the assistant based on analysis
  • Publish across multiple environments (8%)
    • Understand the environment options
    • Preview and share during development
  • Administration (12%)
    • Manage access with Identity and Access Management
    • Secure the Assistant
    • Design for high-availability and disaster-recovery
    • Back-up and restore data
    • Understand and manage the pricing plans
Examination sources