Program Details

Inside the Mindful AI Practitioner Certification

Eight modules. Eight weeks. Four professional phases: Embody, Discern, Design, and Integrate. Together they take you from human foundations to a grounded professional identity in an AI-integrated world.

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Three Frameworks, One 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.

What's Included

40+ hours of recorded teaching across 8 modules

Workbooks, exercises, and a full reading library

Weekly community forum and cohort discussion

Mindful AI Practitioner certificate on completion

Who It's For

  • 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.

Module by Module

The full 8-week curriculum, week by week.

Week 1 · Embody

4.5 hours

The Human Foundations of Mindfulness Teaching

Before exploring any AI tool, ground your teaching in the embodied presence, authenticity, and relational awareness that no technology can replace.

10 activities·7 resources
BCF

Week 2 · Embody

4.5 hours

The Art of Mindfulness Teaching

Explore the art of facilitation: guided practice, mindful inquiry, and responsive teaching presence that makes mindfulness instruction transformative.

11 activities·2 resources
BCF

Week 3 · Discern

4.5 hours

Mindfulness of Generative AI

Build a mindful, informed relationship with generative AI, and learn the Mindful AI Pause for evaluating when and how to use it.

10 activities·6 resources
BCFMAP

Week 4 · Discern

4.5 hours

Creating with Multimodal AI

Use multimodal AI (text, image, audio, video) to create accessible, engaging mindfulness resources without losing your pedagogical voice.

10 activities·6 resources
BCFMAP

Week 5 · Discern

4.5 hours

Stewardship in the Digital Mindfulness Ecosystem

Develop a systems view of the digital mindfulness ecosystem, and use the Alaya Evaluative Framework to assess AI-powered tools and platforms.

11 activities·8 resources
BCFAlaya

Week 6 · Discern

5 hours

Ethics of AI in Mindfulness Teaching

Examine research on the ethical opportunities and challenges of AI in mindfulness teaching, and build the judgment to navigate them in practice.

11 activities·7 resources
BCFMAP

Week 7 · Design

4.5 hours

AI as a Teaching Partner

Partner with AI to design cohesive, pedagogically sound mindfulness learning experiences while remaining responsible for the learning journey.

7 activities·7 resources
BCFMAP

Week 8 · Integrate

5 hours

Professional Identity in an AI-Integrated World

Integrate everything you've learned into a grounded professional identity and a personal plan for practicing wisely as AI continues to evolve.

6 activities·1 resources
BCFMAP

Meet Your Teaching Team

Steve Haberlin, Ph.D.

Steve Haberlin, Ph.D.

Professor, University of Central Florida

Author and Researcher in Mindfulness and Digital Practice

With nearly three decades of personal practice and extensive published research, Steve Haberlin, Ph.D. studies how meditation, mindfulness, and emerging technology meet in higher education, bridging ancient contemplative traditions with modern technological realities. Together with Amanda Evans, he created the Bounded Convergence Framework (BCF), the core framework this course uses to distinguish the human qualities of teaching that must stay within your care from the tasks AI can genuinely support.

Jeremy Yencer, M.A.

Jeremy Yencer, M.A.

Mindfulness Researcher & App Developer

MA in Mindfulness Studies, Lesley University

Jeremy studies how mindfulness, technology, and human decision making shape each other. He developed Alaya Insight, an AI tool that evaluates meditation apps on their pedagogical grounding using the MBI:TAC framework. His research explored how mindfulness is translated into digital products, and where those products align with or drift from the core principles of practice. He completed his MA at Lesley University focusing on how popular mindfulness apps measure against established pedagogical standards.

Jeffrey Juelsgaard, M.A.

Jeffrey Juelsgaard, M.A.

Mindfulness Teacher and VR Designer

MA in Mindfulness Studies, Lesley University

Jeffrey Juelsgaard began his career as a high school history and social studies teacher before turning to mindfulness full time. While earning his MA in Mindfulness Studies at Lesley University, he spent two years helping design a mindfulness and wellness app at the VR startup Reclaim Your Mind Technologies, work that shaped his graduate thesis proposing a framework for designing and evaluating mindfulness-based programs in virtual reality. He now teaches mindfulness independently, consults with others on using VR to teach it, and is exploring how to bring AI into that work thoughtfully.

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

Amanda Evans specializes in educational psychology and learning design, and is multi-certified in the use of artificial intelligence in education contexts. Her contribution ensures the program is not only rigorous but structured in a way that supports real learning, integration, and application. Together with Steve Haberlin, she created the Bounded Convergence Framework (BCF), the core framework this course uses to distinguish the human qualities of teaching that must stay within your care from the tasks AI can genuinely support.

Ready to Join Cohort 2026?

Eight weeks from now, you'll have a grounded professional identity for teaching mindfulness in an AI-integrated world.

Enroll Now