AI training for educators

Practical AI learning.
Visible progress.

Plan lessons, adapt materials and reduce repeat admin, while protecting sensitive information and checking the results.

I’m Chris: 15 years teaching, three in school leadership. I help educators put AI to work.

Would this help
my students?

  • Keep the learning objective.
  • Check what the tool changed.
  • Make the next revision yours.

What your staff
learn to do.

We choose the focus around your staff’s work and experience. These areas can stand alone or form a longer program.

  1. Getting started safely and confidently

    Know what to share, what to protect and when AI is not the right tool. Questions and skepticism are welcome.

  2. Planning with AI

    Draft instructions, examples and checks for understanding from a lesson you already teach.

  3. Adapting materials

    Change the reading demand or format. Keep the learning goal intact.

  4. Automating daily workflows

    Turn meeting notes into action lists, draft routine emails and organize recurring reports. Automate the repeat steps, with staff review before anything is sent or used.

  5. Building tools for your team

    Create reusable tools for teaching teams, departments, campuses or districts, with guided practice and support.

Choose how
we work together.

Book a workshop, a planning day or ongoing support.

A full-day planning consultation

Bring stakeholders together. Set priorities, address concerns and agree on the first steps.

On-site within 60 miles of Orange County, virtual, or on-site anywhere with travel costs covered.

A learning platform
built for your district.

I design and build your LMS around your school’s priorities and district-wide goals, including its design, layout, branding, content and leadership reporting.

Fictional LMS sample. Not a fixed template.

Cedar Grove Unified, its staff and all results are fictional. Explore the learner homepage, a sample lesson and leadership reporting. This is not a live platform or results from your answers.

Cedar Grove staff learningFictional district demo
Cedar Grove UnifiedStaff Learning Portal
Professional learningMy learningLearner workspace

My learning

Welcome back, Maya.

Grade 6 teacher Cedar Grove Middle

MC

Assigned course PL-101

AI in everyday practice

2 of 3 complete
2 of 3 modules complete
  1. Safe starting points

    Knowledge check: 4 of 4

    Complete
  2. Context in AI

    Knowledge check: 2 of 2

    Complete
  3. Review & improve

    Check the output. Make it usable.

    Not started
Next up: Review & improve

Practice checking an AI draft before using it.

Preview the next module

Module outline · Sample only

Would you use this with your class?

Review an AI-generated exit ticket against its source passage and learning goal.

  1. Check: Does each question test the intended learning?
  2. Verify: Can you support the answer key with the source?
  3. Revise: Improve one weak question and explain your change.

In a full course, you would submit your revision for feedback. This preview shows the outline only.

Learning progress

AI in everyday practice · Fictional pilot cohort

Example staff record · Cedar Grove Middle

Maya Chen

Teacher
Grade taught
6
Campus
Cedar Grove Middle

2 of 3 lessons complete. One assignment needs changes before it can pass.

Assignment to update
Changes needed
Plan a staff meeting with AI

Prepared example · Facilitator review · First submission

Rubric score: 6 of 8

Verify the policy claim, revise the agenda and resubmit it in the LMS.

Lessons and quiz results
Course: AI in everyday practice
Lesson completion and quiz scores for Maya Chen
LessonProgressQuiz score
Safe starting pointsComplete4 of 4 correct
Context in AIComplete2 of 2 correct
Review & improveNot startedNot taken

Finishing a lesson does not automatically pass its assignment. Submitted work is scored separately.

Completed workshop activity

One lesson, less repeat prep

Passed
Assignment
Create a lesson exit ticket
Reviewed by
Facilitator · Second submission
Checks passed
3 of 3
  • Matches the learning goalPassed
  • Questions are clearPassed
  • Answers were verifiedPassed
See what Maya improved
Original question
“Name the evidence.” This asked for recall, but the lesson goal was reasoning.
Maya’s updated question
“Choose one piece of evidence and explain how it supports the claim.” She also checked the answer key against the source.
Facilitator’s decision
The facilitator checked the updated work. All three checks passed; this activity is complete.

Sample lesson: context in AI.

Sample lessonIllustrative preview, not a full course.2–3 min
Why context mattersStep 1 of 4

What changes when you add context?

Start with a simple request. Then tell AI how much time you have, what happened and what everyone should leave with.

Read each row below: a detail added to the request → an example of how the meeting plan changes.

Your first message to AI · Fictional school example

“Plan a staff meeting.”

Time

“We have 20 minutes.”

The agenda now has time limits:5 min: review what happened.
10 min: agree on a fix.
5 min: practice it together.
A recent event

“At Thursday’s open house, families got lost between the front desk and the classrooms.”

The discussion gets a specific task:“Look at the school map. Mark where families took a wrong turn and decide where to add signs.”
A takeaway for everyone

“Every staff member should leave able to give families the same clear directions.”

The final 5 minutes become a rehearsal:Agree on and practice a shared script, such as: “Check in at the front desk, then follow the blue signs to your classroom.”
Now AI has a time limit, a reason for the meeting and a result to plan toward.

These are example changes to look for, not guaranteed results. You still check the answer.

Next: the 32-second video shows the same technique with a different staff meeting, this time about AI training.

Same task. A better brief.

Watch a vague request become a plan that fits. 32 seconds, no sound needed.

Prepared demonstration with example answers, not a recording of a live AI tool. Silent, with on-screen explanations.

Read the walkthrough instead

The request: “Plan a staff meeting about AI.” The example draft assumes a 60-minute tool tour, including creating accounts.

The missing context: “We have 20 minutes, no devices. Teachers have tried AI. Help each person choose one low-risk task to try.”

What changes: The revised example uses 3 minutes to name a repetitive task, 7 to compare printed AI drafts, 6 to discuss errors and risks, and 4 to choose a task to try. Those activities fit the stated constraints. You still need to check the plan and choose suitable examples.

Knowledge check

Choose an answer, then continue. You can go back or skip a question.

Question 1 of 2

“Plan a 20-minute staff meeting about AI. Teachers have tried it. No devices will be available.”

What is missing from this brief?

The AI’s agenda says: “District policy allows any AI tool.”

You didn’t supply a policy. What should you do?

Your quiz results.

Your knowledge check
Not yet scored0 of 2 answered

Sample target: 2 of 2 correct. One point per question.

Answer both questions to get your score. Skipped questions are not recorded as failures.

Question 1 · Context
Not attempted

Answer the question to see the reasoning.

Question 2 · Review
Not attempted

Answer the question to see the reasoning.

Maya Chen · Context in AI

Plan a staff meeting with AI

Changes neededSubmission 1

Fictional example. Nothing is sent or saved.

Grade · Submission 1

6 of 8
Instructor feedback

Your agenda fits the meeting. Check the district’s actual AI policy and update the follow-up instruction before using it.

View submission
Prompt used

Plan a 20-minute meeting for teachers who have tried AI. No devices. Use printed, fictional examples. Each teacher should leave with one low-risk task to try and a way to check the result.

20-minute agenda

0–3 min: Each teacher names a repeated planning task. 3–10 min: Pairs compare two printed AI drafts for the same task. 10–16 min: Discuss errors, missing context and what needs checking. 16–20 min: Each teacher chooses a low-risk task and a checking step. Follow-up: District policy allows any AI tool. Try your chosen task this week.

Learner’s check

I checked the timing, no-device format and takeaway. I did not check the policy claim.

View rubric
Audience and outcome
2 of 2
Useful constraints
2 of 2
Fit of the plan
2 of 2
Verification of claims
0 of 2

0 = not demonstrated, 1 = partly demonstrated, 2 = met. To pass: at least 6 of 8, including both verification points.

Explore the review process

This preview lets you try both roles. After resubmitting, choose Facilitator to grade the work. Changes do not update the sample district records.

What does this tell a leader?

Workshop tasks and asynchronous learning feed the same record. Leaders can see participation, knowledge-check scores, rubric-assessed work and where follow-up is needed, by staff member, team or site. We agree on the measures together. Missing evidence is not a failing score; completion alone does not prove growth.

Teaching philosophy
Chris Baarstad

Meet Chris Baarstad.

I’m Chris Baarstad. I spent 15 years teaching and three in school leadership. Now I combine that experience with practical AI training and custom software development.

Teaching adults about AI

I delivered technology and AI training for Johnson & Johnson in 2025 and 2026. The 2026 session explored AI in family life through practical scenarios and discussion.

Building learning software

I designed and built a custom LMS to move a business off a larger corporate platform that didn’t meet its needs. The new system was built specifically around its staff and training workflows. I’d take the same approach with your district.

You work directly with me, from planning the training to building the tools.

Let’s talk about your school

A few useful questions.

How do you approach privacy and AI concerns?

Questions and skepticism are welcome. I teach faculty and staff why privacy matters in AI and how to handle information thoughtfully. When I build systems around a district’s needs, protecting faculty and staff information is a core design consideration.

I’m also developing a student-facing program. It is not ready for a demo yet. Privacy and student safety guide those decisions from the start.

Will our staff need to learn a new platform?

Not necessarily. I build tools around your district’s needs and existing systems, rather than asking your staff to fit a one-size-fits-all product.

Where needs overlap, some learning content may start from a shared template. The tools, training and setup are shaped around your district and how your people work.

Our staff have very different starting points. Is that a problem?

No. We plan around experience: a useful start for newcomers, deeper work for confident users. The five areas are not five mandatory courses.

Is this for teachers, or school leaders too?

Both, plus support staff. Tasks are tailored to their roles. A partnership brings workshop evidence and asynchronous learning into a shared picture of progress and follow-up needs.

How do we agree on the scope and cost?

An initial conversation is free. I then propose the format, scope and fee, including course curation and consultation cadence where relevant.

Let’s plan your
staff’s AI training.

Tell me about your staff and what gets in their way.

Free initial conversation. Workshops, full-day planning and ongoing partnerships are paid engagements. No private staff or student details, please.

Share a little context so I can come prepared with ideas. Please leave student information out.

Straight to my inbox. I’ll reply personally.

Engagement example

Open as a full page