Teaching with AI
AI is already
in your course.
Teach with it.
A practical track for university and college faculty: set the rules for AI in each assignment, assess in a way that holds up, teach students to use AI well and honestly, and leave with a plan for one real course.
The course AI-use scale
One decision for every assignment
- ClosedNo AI use, and the assessment is secured so the rule can hold.
- Open with disclosureAI use within stated bounds, declared in an AI-use statement.
- RequiredAI use is part of the task, and part of what is graded.
Mapped to the five-level scale the sector uses, so a colleague reads your statement the way you meant it.
Teaching When Every Student Has an AI Assistant
A professor now has three jobs at once: using AI for their own work, teaching courses where AI is present whether or not it is allowed, and sending students into a working life where fluent, honest use of AI is assumed. These are the problems the track is built around.
The assignment the tool can do
Problem sets solved in seconds and essays you cannot tell apart. Banning AI on a take-home task does not make the rule hold; the conditions have to.
Detectors are not evidence
A detector score is a probability from an opaque model, wrong often enough to produce false accusations every term, and wrong more often for students writing in a second language. The vendors’ own documentation says not to treat it as proof.
Silence is not a neutral choice
A course that says nothing about AI is already one in which students use it, each with their own private rule about what counts as fair. The rule has to be stated, assignment by assignment.
Are students still learning?
The worry is not only cheating, but whether anyone learns to reason when the tool does the reasoning. AI literacy is now a learning outcome you have to teach and grade.
Privacy, equity and access
Student records cannot go into a tool the institution has not cleared, no student should have to pay for one, and accommodations still stand when AI is in the course.
A different rule in every room
Students who take several courses in one term meet a different AI rule in each. A professor can fix a course; only a department can fix what a student meets across courses.
What You Will Learn
Eight modules of about 75 minutes each and a department rollout module, following two courses at one university, a history survey and an introductory statistics course, from the first syllabus statement to the course AI plan. Every module ends in a course artifact you keep.
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Module 1 · 75 minutes
The Professor’s Desk
The course Project and its never-list, preparation, feedback that gets read, accessible formats.
You leave with a course Project with the syllabus, rubrics and materials loaded, and a written line for what never goes in it.
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Module 2 · 75 minutes
Designing the Course with AI in the Room
The per-assignment decision, the syllabus statement and one assignment rewritten at three levels.
You leave with an AI-use statement for the syllabus and one assignment rewritten at each level of the course scale.
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Module 3 · 75 minutes
Assessment and Integrity
Why a detector score is never evidence, the two lanes of assessment, and what an integrity case rests on.
You leave with one assessment redesigned, with its grading approach, its disclosure rule and the line on evidence.
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Module 4 · 75 minutes
Teaching Students to Use AI
AI literacy as a graded outcome: a two-week unit built from the course’s own material.
You leave with a two-week student unit, built from your course’s material, that makes AI literacy a graded outcome.
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Module 5 · 75 minutes
AI in the Discipline
What the profession your students are entering now uses, so the course decides what it covers and drops.
You leave with a discipline AI map for the course: what the profession uses, what the course now covers, what it drops.
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Module 6 · 75 minutes
Agents for the Course
One scoped course agent with its approval rules, its off-limits list and its log.
You leave with one scoped agent with its approval rules and its off-limits list. It drafts, routes and answers from the syllabus, and never decides anything about a student.
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Module 7 · 75 minutes
Policy, Privacy, Equity and Ethics
The one-page classroom AI charter a department can adopt.
You leave with a classroom AI charter: the rules on data, disclosure, equity, accommodations and evidence that every course under it keeps.
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Module 8 · 75 minutes
Capstone: the Course AI Plan
The plan for one real course, presented, and the certificate.
You leave with the AI plan for one real course you teach, presented.
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For chairs and centers for teaching and learning · 60 minutes
The Department Rollout
For chairs: a term plan, champions, the charter adopted, the day-30 check and four measures.
You leave with a plan to roll a department onto the track, with faculty champions and a check at day 30.
Every module works with whichever AI Assistant your institution licenses; none of it is tied to one product. The track builds on FluentOrg’s Foundations modules and does not re-teach them: Foundations is its own seat, and you can add it on the same order.
One Seat, Every Module
Per person, per year, the same price for one instructor or a whole faculty.
For everyone who teaches
Teaching with AI
- The Professor’s Desk
- Designing the Course with AI in the Room
- Assessment and Integrity
- Teaching Students to Use AI
- AI in the Discipline
- Agents for the Course
- Policy, Privacy, Equity and Ethics
- Capstone: the Course AI Plan
- The Department Rollout
- All eight modules and the department rollout module, about 11 hours of study
- Each module’s exam, graded and recorded on our server, as many attempts as you need
- A certificate of completion for Teaching with AI, with the hours on it and a link anyone can check
- Progress tracking across the nine modules
List price $249
per seat, per year, the same from 1 seat to 750
Introductory offer: $100 off until December 31, 2026
per seat, per year, the same from 1 seat to 750
Bought per seat, for each person who teaches. Get Started opens your order with one Teaching with AI seat on it; change the number of people there, add anything else, and pay by card. More than 750 seats? Ask us.
A certificate of completion for Teaching with AI.
Finish the modules and pass their exams, and the certificate is yours to claim, with the hours on it. Anyone can check one by its id.
The track is 11 hours of stated study time, yours to self-report as continuing professional education, up to 11 CPE hours. The hours are self-reported: FluentOrg is not a registered CPE sponsor with any certifying body, including the National Association of State Boards of Accountancy (NASBA), and each certifying body decides what it accepts. What you can claim
Ready to teach with AI in the room?
Start with one seat, or one for everyone who teaches in your department.