Focused multiple-choice refreshers on one AIF-C01 topic at a time - single-answer and "select all that apply", just like the exam. Great between mock exams.
Subject Drills
AI & ML Concepts
7 Qs 7 Qs
Practical AI Use Cases
6 Qs 6 Qs
AI/ML Development Lifecycle
6 Qs 6 Qs
Data Types & Inference
6 Qs 6 Qs
Choosing AWS AI Services
6 Qs 6 Qs
MLOps & Model Metrics
6 Qs 6 Qs
GenAI Concepts & Terminology
6 Qs 6 Qs
GenAI Capabilities & Limits
6 Qs 6 Qs
AWS Infrastructure for GenAI
6 Qs 6 Qs
Agentic AI, Multi-modal & FM Lifecycle
6 Qs 6 Qs
GenAI Selection Factors & Business Value
6 Qs 6 Qs
AWS GenAI Cost & Infrastructure
6 Qs 6 Qs
FM Design Considerations
6 Qs 6 Qs
Prompt Engineering Techniques
6 Qs 6 Qs
Evaluating FM Performance
6 Qs 6 Qs
Training & Fine-Tuning FMs
6 Qs 6 Qs
FM Selection, RAG & Agents
6 Qs 6 Qs
Prompt Techniques, Injection & Guardrails
6 Qs 6 Qs
Fine-Tuning Methods & Data Prep
6 Qs 6 Qs
Evaluation Metrics & Evaluating FM Apps
6 Qs 6 Qs
Responsible AI Development
6 Qs 6 Qs
Transparency & Explainability
6 Qs 6 Qs
Fairness, Datasets & GenAI Risk
6 Qs 6 Qs
Explainability & Transparency Tools
6 Qs 6 Qs
Securing AI Systems
7 Qs 7 Qs
Governance & Compliance
7 Qs 7 Qs
Data Security & Privacy for AI
6 Qs 6 Qs
AI Governance Protocols & Monitoring
6 Qs 6 Qs
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