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Mindfulness-Based Cognitive Therapy (MBCT) course

Mindfulness-Based Cognitive Therapy (MBCT) course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This Mindfulness-Based Cognitive Therapy (MBCT) course equips you with a practical framework to develop and run an 8-week program preventing relapse in recurrent depression. Master essential mindfulness techniques, cognitive strategies, relapse signature identification, personalised action plans, risk evaluation, safety measures, customisations, and proven tools matching top MBCT guides and NICE standards.

Elevify advantages

Develop skills

  • Design MBCT relapse plans by mapping triggers, early warning signs, and customised practices.
  • Facilitate 8-week MBCT group sessions, including structuring activities, guiding mindfulness exercises, and monitoring homework.
  • Implement mindfulness and CBT techniques such as decentring, breathing space exercises, and strategies for behaviour change.
  • Handle clinical risks in MBCT by assessing suicidality, maintaining documentation, and collaborating with care teams.
  • Safely adapt MBCT programs for challenges like trauma, rumination, sleep disturbances, and concentration difficulties.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
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Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
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Giulio CarloPrompt Engineering Student

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