Now Enrolling · Cohort 2026

Mindful AI Practitioner Certification

An 8-week professional formation program for mindfulness teachers, guided by the Bounded Convergence Framework, so AI strengthens your teaching without ever quietly replacing what makes it human.

8

Modules

8

Weeks

Yes

Certificate Included

Who It's For

Built for practitioners who already hold space for others and want to do it well as AI enters the room.

New Mindfulness Teachers

Building the embodied foundations of teaching before layering in any AI tool.

Therapists Teaching MBCT

Clinicians delivering Mindfulness-Based Cognitive Therapy who want AI literacy that respects clinical rigor and participant safety.

Experienced Teachers & Facilitators

Integrating AI into an established practice without losing the presence and relational depth that define it.

Teacher Trainers & Program Directors

Setting a shared, ethical standard for how AI is used across a teaching team or training program.

Digital Mindfulness Creators

Designing AI-assisted courses, apps, and resources that stay accountable to sound mindfulness pedagogy.

The Problem

AI is already reshaping how people seek support, mostly without anyone deciding it should.

AI is already changing how mindfulness is taught

Colleagues are using AI to draft scripts and lesson plans, and students are bringing AI questions into the room, with or without a framework for handling it well.

The human core of teaching is at risk of erosion

Without deliberate boundaries, the presence, authenticity, and relational attunement that define real mindfulness teaching can quietly give way to convenience.

Most teachers are integrating AI without a shared framework

Decisions about when and how to use AI are being made ad hoc, without professional judgment grounded in mindfulness ethics.

The ethical stakes are specific to this field

Participant safety, contemplative integrity, and trauma-sensitive teaching raise concerns that generic AI-ethics guidance doesn't address.

The Solution

A certification built on frameworks you can actually apply, not just recite.

A framework for what stays human

The Bounded Convergence Framework (BCF) helps you distinguish where AI can genuinely help from where your presence is irreplaceable.

A practice for pausing before you rely on AI

The Mindful AI Practitioner (MAP) practice turns discernment into a repeatable habit for every interaction with AI tools.

A way to evaluate the tools reaching your students

The Alaya Evaluative Framework gives you a rigorous way to assess AI-powered mindfulness apps and platforms.

A credential built on real teaching competency

Certification aligned with MBI:TAC teaching standards across 8 modules and 4 professional phases.

The question was never whether AI belongs in the room.It was always what we protect once it's there.

The Framework

The Mindful AI Practitioner Framework

Embody

Cultivate the qualities of an effective mindfulness teacher before integrating AI.

Discern

Learn to evaluate AI with mindfulness and professional judgment.

Design

Collaborate with AI to create meaningful, ethical, and human-centered mindfulness learning experiences.

Integrate

Develop a professional identity that remains grounded, adaptable, and deeply human as AI continues to evolve.

Core Frameworks

Three interlocking frameworks that carry you from concept to embodied practice.

BCF

The Bounded Convergence Framework: the core lens for distinguishing the human qualities of teaching that must stay within your care from the tasks AI can genuinely support.

Alaya

The Alaya Evaluative Framework for critically assessing AI-powered mindfulness apps, platforms, and resources before adopting or recommending them.

Adapted from Bangor University's MBI:TAC, with two domains of our own: Commercial Alignment, and Governance & Ethics. Read the MBI:TAC
MBI:TAC Assessment

Teaching competency assessed using the Mindfulness-Based Interventions: Teaching Assessment Criteria (MBI:TAC), developed by Dr. Rebecca Crane at Bangor University's Centre for Mindfulness Research and Practice.

The Program

Eight modules across eight weeks and four professional phases: Embody, Discern, Design, and Integrate.

01

Week 1 · Embody

The Human Foundations of Mindfulness Teaching

02

Week 2 · Embody

The Art of Mindfulness Teaching

03

Week 3 · Discern

Mindfulness of Generative AI

04

Week 4 · Discern

Creating with Multimodal AI

05

Week 5 · Discern

Stewardship in the Digital Mindfulness Ecosystem

06

Week 6 · Discern

Ethics of AI in Mindfulness Teaching

07

Week 7 · Design

AI as a Teaching Partner

08

Week 8 · Integrate

Professional Identity in an AI-Integrated World

Why Join the Founding Cohort

Ten seats. One founding cohort. Your perspective becomes part of the foundation.

Locked-In Founding Rate

80% below the future public price, locked in for good.

Direct Input on Content

Your feedback directly shapes every future cohort.

Founding Member Recognition

Featured as a founding member on our website.

Ongoing Course Discounts

Discounts on all future courses and workshops.

Your Teaching Team

Clinicians, ethicists, and embodiment practitioners, together.

Steve Haberlin, Ph.D.

Steve Haberlin, Ph.D.

Professor, University of Central Florida

Author and Researcher in Mindfulness and Digital Practice

A professor at the University of Central Florida studying how meditation, mindfulness, and emerging technology meet in higher education. He and Amanda Evans created the Bounded Convergence Framework (BCF), the core framework used throughout this course.

Jeremy Yencer, M.A.

Jeremy Yencer, M.A.

Mindfulness Researcher & App Developer

MA in Mindfulness Studies, Lesley University

Developed Alaya Insight, an AI tool that evaluates meditation apps on their pedagogy using the MBI:TAC framework.

Jeffrey Juelsgaard, M.A.

Jeffrey Juelsgaard, M.A.

Mindfulness Teacher and VR Designer

MA in Mindfulness Studies, Lesley University

A former high school history and social studies teacher who now designs and evaluates mindfulness experiences in virtual reality.

Amanda Evans, M.Ed., Ph.D. Candidate

Amanda Evans, M.Ed., Ph.D. Candidate

PhD Candidate & Autism Specialist

Specialist in Educational Psychology and Learning Design

Specializes in educational psychology and learning design, and is multi-certified in the use of artificial intelligence in education contexts. She and Steve Haberlin created the Bounded Convergence Framework (BCF), the core framework used throughout this course.

Join Cohort 2026

One certification, priced for where you are.

Mindful AI Practitioner Certification

Now Enrolling · Cohort 2026

  • 8 modules across 8 weeks and 4 professional phases
  • Full access to the BCF, Alaya, and MBI:TAC frameworks
  • Weekly community forum reflections and instructor-reviewed assignments
  • Downloadable workbooks, exercises, and reading library
  • Capstone review and Mindful AI Practitioner certificate
  • Private cohort community for Cohort 2026

Choose your pricing.

We built this with accessibility in mind. Every tier gives you the exact same certification: the full 8 weeks, all 8 modules, complete access to the BCF, Alaya, and MBI:TAC frameworks, and the same credential at the end. The only difference is what you're able to pay right now. This reflects something we hold seriously: everyone deserves access, and we trust you to choose honestly based on what actually fits your circumstances.

$299

Founding Member

Exclusive rate for Cohort 2026 founding members.

Enroll Now

$397

Community

For community practitioners and students.

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$748

Established Teacher

For currently practicing, established mindfulness teachers.

Enroll Now

$1,497

Full Price

Standard enrollment for the 8-week certification.

Enroll Now

$197

Scholarship

For practitioners who couldn't otherwise afford enrollment, by application only.

Apply for Scholarship