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C1000-180 Exam Topics and Domains
C1000-180 is organized into 8 weighted domains. Expect to work with IBM watsonx Assistant, IBM Cloud, Twilio, Coveo, and more.
Conversational AI Design
Understand industry use cases
- Identify appropriate industry use cases for IBM watsonx Assistant
- Evaluate the business value of deploying conversational AI solutions
Apply conversational design best practices
- Apply conversational design best practices to create effective virtual assistants
- Design conversations that provide natural and intuitive user experiences
Design conversational flow
Design conversational flows that effectively guide users through complex interactions
Design a handoff strategy / Live Agent transfer
Design effective handoff strategies that ensure smooth transitions between AI and human agents
Design domain, channel, topic, content, and integrations
Design comprehensive assistant architectures covering domains, channels, topics, content, and integrations
Build conversational flows
Build actions and responses
- Build complete actions with proper steps, conditions, responses, and variables
- Implement complex conversational logic using action-based architecture
Configure the built-in AI capabilities
- Configure built-in AI capabilities including NLU and generative AI features
- Optimize AI performance through proper configuration of thresholds and settings
Debug and test
Use debugging and testing tools to ensure assistant quality and accuracy
Build back-end integrations
Build extension to integrate with external services
- Build custom extensions to integrate watsonx Assistant with external services
- Configure API-based integrations using OpenAPI specifications
Understand and implement webhooks
- Implement webhooks to extend assistant functionality with external processing
- Understand the different webhook types and their use cases
Integrate with watsonx
Integrate with watsonx.ai for generative AI capabilities
- Integrate watsonx Assistant with watsonx.ai to leverage generative AI capabilities
- Select and configure appropriate language models for assistant responses
Build conversational search using the RAG pattern
- Build conversational search solutions using the RAG pattern
- Configure and optimize knowledge bases for accurate information retrieval
Multi-modal integration
Understand cross-channel management
Understand and implement cross-channel management strategies for consistent user experiences
Integrate with telephony, SMS, and other channels
- Integrate watsonx Assistant with telephony, SMS, and messaging platforms
- Configure voice and messaging channel-specific features
Build digital web chats
Build and customize digital web chat experiences using watsonx Assistant
Analyze and improve the assistant
Use analytics to review the Assistant
Use analytics tools to review assistant performance and identify improvement areas
Improve performance of the assistant based on analysis
Improve assistant performance based on analytical insights and user feedback
Publish across multiple environments
Understand the environment options
Understand and manage different environment options for watsonx Assistant deployment
Preview and share during development
Use preview and sharing features to validate assistants during development
Administration
Manage access with Identity and Access Management
Manage access to watsonx Assistant using IBM Cloud Identity and Access Management
Secure the Assistant
Implement security measures to protect watsonx Assistant deployments
Design for high-availability and disaster-recovery
Design watsonx Assistant deployments for high availability and disaster recovery
Back-up and restore data
Implement backup and restore procedures for watsonx Assistant data and configurations
Understand and manage the pricing plans
Understand and manage watsonx Assistant pricing plans to optimize costs
How do I earn this certification?
Passing C1000-180 earns the IBM Certified watsonx AI Assistant Engineer v1 - Professional certification. It sits in the IBM watsonx / Data, Analytics, and AI track.
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for C1000-180 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
Who should take this exam?
This exam is typically taken by AI Engineers and Developers and Conversational AI Designers.
- Foundational expertise in generative AI and large language models
- Experience designing, building, and deploying watsonx Assistant solutions
- Skills in integrating AI solutions with back-end systems
- Experience with conversational AI design principles
- Familiarity with IBM Cloud platform and Identity and Access Management (IAM)
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