Your students are already using AI. This course teaches you how to use it better than they do — for lesson planning, feedback, and building the skills they'll need. Practical tools for K-12 and higher education.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on ai for education you can find — even without producing a single minute of custom video.
Bo taught 400+ students across 15 classes in 2025. The examples in this course are classroom-real, not theoretical case studies.
Every day includes tools you can use in your next class period. Not demos — actual workflows that reduce your workload.
Day 4 tackles academic integrity in the AI era with practical policies, detection approaches, and how to reframe the conversation with students.
Each day is designed to finish in about an hour of focused reading plus hands-on work. No live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
What AI can and cannot do in educational settings. Research on AI tutoring, administrative burden reduction, and student use patterns. Where to start.
Create lesson plans, differentiated materials, rubrics, and assessments faster with AI. Practical walkthrough of tools that actually work in classrooms.
AI-assisted feedback on student writing. Automated rubric application. Where AI helps and where your judgment remains essential.
Detecting AI use, setting clear policies, reframing assessments to be AI-resistant, and talking with students honestly about tools they already use.
Teach students to use AI responsibly. Prompt engineering, critical evaluation, and the skills employers will require from 2026 graduates.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Practical walkthroughs of AI tools educators are using for lesson planning, differentiation, and student feedback.
How to use ChatGPT and Claude to generate lesson plans, rubrics, and differentiated materials in minutes.
Best practices from educators on setting AI policies, detecting AI use, and redesigning assessments for the AI era.
Tools and workflows for AI-assisted student feedback that preserve your voice while reducing your grading burden.
How to teach students to use AI responsibly — critical evaluation, prompt skills, and ethical use frameworks.
Integrating AI tools into Google Classroom and other LMS platforms for seamless teacher workflows.
The best way to go deeper on any topic is to read canonical open-source implementations. These repositories implement the core patterns covered in this course.
Microsoft's collection of AI prompts designed specifically for education — lesson planning, assessment creation, and feedback generation.
Curated list of apps built on ChatGPT APIs including many education-focused tools and workflows.
OpenAI's practical guides including text analysis and feedback generation patterns applicable to educational contexts.
Anthropic's Claude recipe collection with document analysis and structured feedback patterns useful for educator workflows.
You want to reduce your lesson planning and grading workload while improving the quality of feedback your students receive.
You need to navigate AI in research-oriented coursework, handle integrity concerns at the college level, and build AI competency in your students.
You build curriculum for others. This course gives you the tools to design AI-enhanced learning experiences and the frameworks to train other educators.
The 2-day in-person Precision AI Academy bootcamp covers AI tools for educators and trainers — hands-on with Bo. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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