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AI for Addiction Recovery

Explore AI-driven tools, data analytics, and ethical practices to enhance addiction treatment, support recovery, and improve patient outcomes across settings
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2 months to complete
at 2-3 hours a week
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Overview

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Learning outcomes

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Course content

1

Introduction To Artificial Intelligence

2

Understanding Addiction And Recovery

3

Artificial Intelligence For Relapse Prevention

4

Machine Learning For Personalized Treatment

5

Virtual Support Systems For Recovery Maintenance

Career Path

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Key facts

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Why this course

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People also ask

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm thrilled to have taken the 'AI for Addiction Recovery' course at Stanmore School of Business! As a healthcare professional in the United States, I was looking to expand my knowledge on how AI can be applied to support addiction recovery. The course exceeded my expectations, providing a comprehensive overview of the latest AI technologies and their applications in this field. I particularly appreciated the module on machine learning algorithms for predicting relapse risk, which I've already started implementing in my practice. The course materials were top-notch, and the instructors were highly knowledgeable and responsive. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in this field.

LH
Leila Hassan
EG · Course completed

I found the 'AI for Addiction Recovery' course to be really interesting and informative. As someone working in the social services sector in Egypt, I was looking for a course that would give me practical insights into how AI can be used to support vulnerable populations. The course delivered on this, with some great examples of how AI-powered chatbots can be used to provide support and guidance to individuals struggling with addiction. One thing that I found particularly useful was the discussion forum, where we could share our experiences and learn from each other. The course materials were also really well-structured and easy to follow. My only suggestion would be to include more case studies from the Middle East region, but overall I was really happy with the course.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'AI for Addiction Recovery' course at Stanmore School of Business was truly amazing! As a researcher in Brazil, I was blown away by the quality of the course materials and the expertise of the instructors. The course covered everything from the basics of AI and machine learning to more advanced topics like natural language processing and computer vision. I loved how the course was structured, with a mix of video lectures, readings, and interactive activities. The assignments were also really challenging and helpful in reinforcing my understanding of the material. I've already started applying some of the concepts I learned to my own research project, and I'm excited to see where this new knowledge will take me. Thank you, Stanmore School of Business, for an incredible learning experience!

RK
Rahul Kapoor
IN · Course completed

I recently completed the 'AI for Addiction Recovery' course at Stanmore School of Business, and I must say it was a thoroughly enjoyable and enriching experience. As a data scientist in India, I was looking to expand my skillset and learn more about the applications of AI in healthcare. The course provided a detailed overview of the current state of AI research in addiction recovery, including some fascinating examples of how AI can be used to analyze medical images and predict patient outcomes. I appreciated the emphasis on practical skills, with plenty of opportunities to work on real-world projects and collaborate with fellow students. The instructors were also very supportive and provided valuable feedback on our assignments. One area for improvement might be to include more advanced topics, such as transfer learning and attention mechanisms, but overall I was really happy with the course and would recommend it to anyone interested in this field.


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Recently updated!

April 2026