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IBM C1000-180 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyze and Improve the Assistant | 12% | - Evaluate intent and entity recognition performance - Refine NLU models and improve accuracy - Use analytics and reporting tools |
| Build Back-End Integrations | 10% | - Handle errors and manage connectivity - Integrate with external business systems - Implement webhooks and API connections |
| Build Conversational Flows | 20% | - Configure built-in AI capabilities - Create actions and rich responses - Implement context management and slot filling - Test, debug and validate dialog behavior |
| Publish Across Multiple Environments | 8% | - Preview and share assistants safely - Manage development, staging and production - Control versioning and deployment workflows |
| Administration and Governance | 12% | - Monitor performance and usage - Configure compliance and data privacy - Manage access and security settings |
| Conversational AI Design | 16% | - Design conversational flows and dialog structure - Design live agent handoff strategy - Define domain, channel, content and integration requirements - Understand use cases and design principles |
| Multi-Modal Integration | 10% | - Integrate telephony, SMS and social platforms - Design consistent cross-channel experience - Support web, mobile and voice channels |
| Integrate with watsonx | 12% | - Connect to watsonx.ai generative AI models - Implement conversational search using RAG pattern - Apply generative AI for response generation |
