AI Courses · Course 2 of 8
Human + AI: AI Foundations for the Workplace
What AI is, how it works, where it shines, and where it fails — plus the prompting and verification habits every worker needs.
Enroll to Download the Study Guide
Study guides are reserved for enrolled HumanEdge Academy students.
New here? Watch this first — how an interactive lesson works (30 seconds).
Course Overview Video
The Scenario
A team member pastes a client report into a public AI tool and sends the AI’s confident summary straight to the client — the summary invents a statistic. Learners audit what went wrong and build the habits that prevent it.
Learning Objectives
- Define AI, machine learning, generative AI, and LLMs in plain language
- Describe three strengths and four limitations of AI at work
- Write structured prompts: task, context, references
- Apply a verification checklist before acting on any AI output
Module Sequence
- What AI is (and isn’t)
- How LLMs produce language
- Strengths: speed, scale, pattern-finding
- Limitations: hallucinations, bias, cutoff, privacy
- Prompting with structure
- Verification lab: evaluate, iterate, decide
Assessment
“Audit the output”: learners receive an AI-generated memo with three planted errors — find all three, correct them, and sign the decision log.
The Human + AI Framework
Every module ends with the human decision. Learners keep a signed decision log: what the AI suggested, what they verified, what they decided.
Direct it. Check it. Question it. Decide.
National Standards Alignment
| Framework | Alignment |
|---|---|
| Career Cluster | Business Management & Administration (National Career Clusters Framework, Advance CTE) |
| Career Ready Practices | CRP-1 Act as a responsible and contributing citizen and employee; CRP-9 Model integrity and ethical leadership in AI-assisted work; CRP-11 Use technology to enhance productivity — directed, not surrendered |
| AI4K12 Big Ideas | Natural Interaction — working alongside AI assistants on the job; Societal Impact — how AI changes roles, responsibility, and accountability at work |
National framework names verified September 25, 2026 against the Advance CTE National Career Clusters Framework, the Common Career Technical Core Career Ready Practices, and the AI4K12 Five Big Ideas (AAAI/CSTA). No codes were invented.