AI-M-APMP Practice Questions and Study Guide
APMP AI-M-APMP Exam Specifications
- Exam Code:
- AI-M-APMP
- Exam Name:
- AI Micro-Certification (AI-M APMP)
- Provider:
- APMP
- Time:
- 30 min
- Passing Percentage:
- 73%
- Version:
- 6.0
Question Types
- 100 Single Select
100 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (100 total)
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AI Micro-Certification (AI-M APMP) (AI-M-APMP) by APMP: Syllabus Guide
For the AI Micro-Certification (AI-M APMP), candidates apply practical skills across the AI project lifecycle, from opportunity framing and quality data preparation to model selection, evaluation, and deployment with ongoing monitoring. They also cover governance aspects such as ethics, privacy, bias mitigation, explainability, risk and security, and regulatory considerations to build trustworthy, compliant systems.
Detailed Syllabus
- AI fundamentals: terminology, capabilities, and limitations
- Ethics, privacy, fairness, bias mitigation and governance
- Problem framing and opportunity assessment for AI initiatives
- Data management for AI: collection, quality, labeling, and preprocessing
- Overview of core algorithms: supervised learning, unsupervised learning, and basics of neural networks
- Model evaluation and validation: metrics, cross validation, and selection
- Deployment, monitoring, and lifecycle management for AI solutions
- Explainability, transparency, and user trust in AI systems
- Risk management, security, and regulatory considerations for AI
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