Critical AI Literacy 1: A Professional's Framework
Your students are using AI. Their families are asking about it. Your district needs a policy. And you're the one who has to figure out what all of this means for the lesson you're teaching next period.
This 8-hour credentialed PD course gives you the frameworks to make defensible professional decisions about AI in your practice. You'll leave with a working portfolio, a redesigned assessment, five reference cards for your planning desk, and the Performance Paradox. That's Blueprint's strategic frame for what happens when AI makes student work look more capable than the underlying learning actually is.
Built by a National Board Certified Teacher and ISTE Certified Educator from Johns Hopkins, with an M.S. in Curriculum and Instruction and 20+ years of K-12 classroom experience.
All sales final. Preview the course structure below before purchase. Questions? hello@blueprintforlearningco.com
About the Critical AI Literacy Suite
This is Course 1 of 6 in a connected sequence built to take educators from foundational professional judgment about AI into the specific practices it changes. Each course stands on its own, and they are stronger taken in order.
- Course 1FoundationYou're viewing this
Critical AI Literacy 1: A Professional's Framework
Build the professional judgment to use AI responsibly in your classroom, with frameworks for data privacy, equity, policy, and family and student conversations.
Available now · 8 PD hours
- Course 2Assessment
Critical AI Literacy 2: AI-Ready Assessment Design
Diagnose exactly where your assessments are exposed to AI, then rebuild them with eight practical redesign moves — without adding hours to your week.
Available now · 8 PD hours
- Courses 3–6
In development — extending into student-facing AI literacy, school and district policy leadership, and subject-specific classroom workflows.
Whether these hours count toward relicensure or PD credit depends on your district and state policy. Check with your licensing authority before you enroll.
Built by a Teacher, for Teachers
This course was built by a National Board Certified Teacher and ISTE Certified Educator from Johns Hopkins University, with an M.S. in Curriculum and Instruction and 20+ years of K-12 classroom and curriculum design experience. Every pedagogical decision in the course reflects that experience and is defensible in front of a curriculum director, a department chair, or a skeptical colleague.
Who This Course Is For
- Teachers who want a framework, not a tool tutorial.
- Instructional coaches who need language for the conversations they're already having.
- Anyone who has read a suspiciously polished student essay and wanted to know what to do about it.
- Anyone who has to answer a parent question about AI at curriculum night and wants to sound like a professional when they do.
What You Learn
The course is built around four modules and a five-section professional portfolio you complete across all 29 lessons.
Module 1: Rethinking the Room
Foundational thinking on what AI actually is, and the Professional Judgment Test. Five questions for evaluating whether any AI tool belongs in your classroom.
Module 2: AI as a Planning Partner
Prompting as a professional skill and the FACES review protocol (Fidelity, Accuracy, Context, Equity, Sources) for evaluating AI-generated planning materials. Applied lessons on lesson planning, differentiation, and feedback.
Module 3: AI, Students & the Learning Question
The Tutor Mode vs. Answer Mode distinction (with the beneficial and detrimental cognitive offloading binary underneath), the Three-Question Integrity Frame for evaluating student work, and the Four Principles of AI-Resistant Assessment Design. This is where you meet the Performance Paradox in full: AI use often makes students look more capable in the moment than they actually are. This module gives you the assessment redesign work that closes the gap.
Module 4: Building Your AI Practice
A three-question data privacy check, a three-question equity check, a five-question policy reading protocol, four family conversation postures with a matched four-part response structure, and three types of class-level student conversations. The professional-outward-facing work.
Learning Objectives
- Apply the Professional Judgment Test to evaluate any AI tool against classroom context and learning goals (Module 1)
- Use the four elements of strong prompting (Role, Task, Context, Format) to produce professionally usable AI outputs (Module 2)
- Apply the FACES review protocol (Fidelity, Accuracy, Context, Equity, Sources) to evaluate any AI-generated planning material (Module 2)
- Distinguish Tutor Mode from Answer Mode student AI use and teach the distinction to students (Module 3)
- Apply the Three-Question Integrity Frame to evaluate student work in an AI-accessible classroom (Module 3)
- Redesign an assessment using the Four Principles of AI-Resistant Design to address the Performance Paradox (Module 3)
- Build a defensible classroom AI policy and communicate it to families, administrators, and students (Modules 3 and 4)
- Assemble a five-section Critical AI Literacy Leadership Portfolio documenting your professional AI practice (all modules)
What You Leave With
A five-section Critical AI Literacy Leadership Portfolio: starting point and professional stance, AI planning practice, classroom AI policy, assessment redesign, and communication plan. Five quick reference cards, one per framework, designed for the planning desk. A redesigned assessment you can use with students. And a credentialed relicensure certificate on the other end of an 80% passing standard.
Working artifacts. Things you'll actually reference and use, well past course completion.
Course Curriculum
- 1.1 You're Not Behind
- 1.2 What AI Actually Is
- 1.3 The Professional Judgment Test
- 1.4 The Replacement Question
- 1.5 Your AI Framework, First Draft (Portfolio Section 1)
- Module 1 Final Assessment
Standards and Credentials
Aligned to InTASC standards 4, 6, 7, 8, 9, and 10 and ISTE Standards for Educators 1, 2, 3, 5, and 6. Relicensure-eligible in 35+ states. A universal crosswalk document maps the course to common relicensure categories: Technology Integration, Ethical Practice, Professional Learning, and Digital Citizenship. State-specific alignment addenda available for North Carolina, Tennessee, Ohio, and Texas.
District approval and relicensure credit are subject to local policy.
Earn Your Certificate
Assessment Requirements
Work through the course lessons, then pass the final assessment (80% or higher) and submit a reflection. Unlimited retakes.
Your certificate will include:
- • Course title & 8 PD hours earned
- • Date of completion
- • Blueprint for Learning Co. verification
- • Unique certificate number
- • Statement: "District approval subject to local policy."
Ready to bring AI literacy into your practice?
Enroll now and start building the frameworks your classroom, your families, and your policy conversations need.