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IBM C1000-012 Exam Syllabus Topics:

Topic	Details
Topic 1	Distinguish The Watson AI Services On IBM Cloud For Which Training Is Required Explain The Watson Sdks Available As Part Of The Watson AI Services On IBM Cloud
Topic 2	Explain Machine Learning Technologies (Supervised, Unsupervised, Reinforcement Learning Approaches) Explain Neural Nets
Topic 3	Fundamentals Of Artificial Intelligence (AI) Computing Define A Common Set Of Use Cases For AI Systems
Topic 4	Explain The Importance Of Separating Training, Validation And Test Data Define The Main Characteristics Of An AI System
Topic 5	Explain The Watson REST Apis Available As Part Of The Watson AI Services On IBM Cloud Fundamentals Of IBM Watson AI Services
Topic 6	Define Common Design Patterns For Composing Multiple Watson Services Together (Across Apis) Explain And Configure The IBM Watson Assistant Service
Topic 7	Explain Use Cases For Integrating External Systems (Such As Twitter, Weather API) Explain The Uses Of The Watson AI Services In The Starter Kits
Topic 8	Measure Accuracy Of A Watson AI Service Define Precision, Recall, And Accuracy Define Intents And Classes
Topic 9	Identify The Difference Between The User Question And The User Intent Perform Domain Adaption Using Watson Knowledge Studio (WKS)
Topic 10	Explain And Configure The Natural Language Classification Service Explain And Configure The Visual Recognition Service
Topic 11	Explain The Advantages Of Using IBM Cloud As The Cloud Platform For AI Application Development And Deployment Call A Watson API To Analyze Content
Topic 12	Provide Examples Of Text Classification Using The NLC Describe The IBM Watson Discovery Service Describe The Watson Conversational Agent
Topic 13	Developing AI Applications Using IBM Watson AI Services On IBM Cloud Explain How The Tone Analyzer Service Works

Reference: https://www.ibm.com/certify/exam?id=C1000-012

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