Lesson 8 · Assessment
AI Fundamentals Quiz
The AI Fundamentals Assessment evaluates a learner’s understanding of the core concepts that underpin modern Artificial Intelligence. Designed for professionals, students, business leaders, and career changers, this assessment covers AI fundamentals, machine learning, generative AI, prompting, data quality, privacy, security, governance, and responsible AI practices. Through a mix of conceptual and scenario-based questions, learners can measure their AI literacy, identify knowledge gaps, and determine their readiness for more advanced AI training and certification programs.
Learning Objectives
Learning Objectives — AI Fundamentals Assessment
By completing this assessment, learners will be able to:
- Evaluate their understanding of core AI concepts and terminology.
- Demonstrate knowledge of machine learning and generative AI fundamentals.
- Identify common real-world applications of AI.
- Recognize the importance of effective prompting and prompt engineering.
- Understand the limitations and risks associated with AI systems.
- Explain the role of data quality in AI performance.
- Identify common sources of bias and fairness concerns in AI.
- Understand privacy principles and data protection concepts.
- Recognize foundational AI security risks and controls.
- Demonstrate awareness of AI governance and responsible AI practices.
- Apply AI concepts to realistic workplace scenarios.
- Assess their readiness for more advanced AI education and certification pathways.
Key Concepts
Key Concepts — AI Fundamentals Assessment
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- AI Applications
- AI Limitations
- Hallucinations
- Human Oversight
- Data Quality
- Data Lifecycle
- Data Labeling
- Bias
- Fairness
- Privacy
- Personally Identifiable Information (PII)
- Differential Privacy
- Synthetic Data
- Data Drift
- Monitoring
- Observability
- AI Security
- Prompt Injection
- Data Poisoning
- Secrets Management
- Governance
- Accountability
- Risk Management
- Responsible AI
- Explainability
- Transparency
- Ethics
- AI Compliance
- Trustworthy AI
Assessment
Complete the lesson assessment to test your understanding.