Learning Objectives by Chapter
- Page ID
- 67077
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The objectives below are drawn from the MBU AI Fundamentals course plan's Weekly Learning Objectives for the corresponding week, and are reproduced here (adapted from CompTIA AI Fundamentals V1) as a study guide for each chapter.
Chapter 1: What is Artificial Intelligence?
- Identify how AI is used in everyday tools and workplaces.
- Define artificial intelligence, machine learning, and generative AI, and explain how the three relate.
- Distinguish generative AI from traditional software and web search.
- Identify major AI tools and models and match them to appropriate academic, personal, and workplace tasks.
- Classify common tasks as good or poor candidates for AI support.
- Distinguish lower-risk from higher-risk ways of using AI.
- Recognize how AI is changing work across industries and how roles, skills, and tasks are shifting.
Chapter 2: The Art of the Prompt
- Identify the components of an effective prompt.
- Construct role–task–context–format (RTCF) prompts for a range of tasks.
- Compare weak and strong prompts by the quality of the output each produces.
- Distinguish zero-shot, one-shot, and few-shot prompting, and select the appropriate approach for a given task.
- Describe how temperature, top-k, and top-p settings shape the variability of AI output.
- Define context files and explain how supplied context changes AI output.
- Select safe, relevant context sources and avoid oversharing sensitive information.
- Configure simple context-aware AI interactions in common tools.
Chapter 3: AI Reasoning
- Treat AI interactions as multi-turn conversations rather than single requests.
- Use follow-up prompts to refine, correct, and deepen an initial output.
- Maintain focus and coherence across an extended AI session.
- Explain how step-by-step (chain-of-reasoning) prompting improves performance on multi-step problems.
- Select among direct-answer, step-by-step, and self-critique approaches based on task complexity and cost of error.
- Recognize the limits of step-by-step prompting, including that it cannot repair missing or incorrect information.
Chapter 4: Responsible AI Use
- Identify key AI risks, including bias, hallucination, privacy exposure, and intellectual property concerns.
- Analyze the potential impact of ethical concerns in AI use on individuals, communities, and the broader world.
- Apply basic privacy and security practices when working with AI tools.
- Recognize situations that require disclosure of AI use or additional caution.
- Identify common AI errors and hallucinations in generated content.
- Detect bias and low-quality or shallow output.
- Select and apply appropriate verification methods for a given level of task risk.
- Execute a repeatable verification workflow from claim identification through documented confirmation.
Chapter 5: Creating and Learning with AI
- Use AI to overcome creative blocks, generate initial ideas, and draft and revise communications.
- Select prompts appropriate to different audiences, tones, and formats.
- Identify safe and ethical uses of AI-generated media.
- Use AI to critique and improve their own work.
- Use AI to explain concepts at an appropriate level of difficulty.
- Generate practice materials and study aids using AI templates.
- Distinguish acceptable AI-supported studying from academic misconduct.
Chapter 6: Analysis, Automation, and Agents
- Use AI as a thought partner in simple decision scenarios.
- Evaluate AI-suggested options for plausibility and risk.
- Explain decisions that combine AI output with human judgment.
- Identify everyday tasks suitable for basic AI-enabled automation.
- Describe common AI-supported workflow patterns.
- Identify the core components of an AI agent.
- Explain human-in-the-loop oversight for AI agents and automation, and place approval checkpoints appropriately.
Chapter 7: AI and Your Career
- Identify when and how to disclose AI use in academic and professional work.
- Recognize roles in AI-augmented team workflows, including prompter, verifier, and editor.
- Select clear, nontechnical explanations of AI use and its limitations for a non-expert audience.
- Describe how AI and related technologies are reshaping work across industries.
- Identify AI-related skills, both explicit and implicit, in job descriptions.
- Apply AI ethically to career preparation, including resumes, cover letters, and interview practice.