"Humans can't be replaced by A.I. But those who know how to use A.I. effectively can replace those who don't."
1500+
Psychologists trained in AI
54+
Countries
30+
Research Projects
9.5/10
Feedback Score
We'll guide you from the very basics, with no assumptions of previous knowledge.
LIVE
10-Week Personalised Coaching Program
This 1:1 program is designed for your unique research needs. In easy-to-follow, 90-minute weekly sessions, we'll guide you through each step. This coaching could be your key to producing studies that stand out and get published, keeping you at the cutting edge of psychology.
900 Mins
£1155
ON-DEMAND
3-Week Machine Learning Certification
Within three weeks, learn Python and apply AI to your research in clear, simple steps. This bootcamp teaches you to analyse data and create machine learning models that can take your research papers to the next level, ensuring you stay ahead in the competitive field of psychological studies.
ON-DEMAND
2-Day AI Bootcamp for Early Intervention
How we learn?
Bite-sized lessons to fit a researcher's schedule.
Pre-coded templates for common research applications.
Assessments
Real psychological datasets for hands-on experience.
Clear, jargon-free language.
Math-Minimized Approach
Who is this course for?
This course is designed for researchers and students in psychology who have no prior experience in coding or machine learning. It aims to provide a quick and efficient learning experience tailored to help them publish studies using AI/ML.
Who is this not for?
ML courses out there cater to technology or business professionals, diving into broad machine learning utilities. This course is different—it's carefully created for psychologists, emphasising relevant AI/ML use in their field. It's not suitable for those seeking corporate data science.
Dr Chandril Ghosh, PhD, CPsychol, AFHEA
Meet the Tutor
Dr. Chandril Ghosh, a Lecturer at the University of Kent, has pioneered the integration of artificial intelligence into psychology. He authored the first machine learning textbook for psychologists and developed a widely-used online Python course, enriching the field's toolkit which has been adopted in 54 countries.
Over 7,000 people around
the globe use our educational contents.
John, Ph.D. Candidate in Clinical Psychology
"Before taking this course, I was overwhelmed with the volume of data from my research and unsure how to interpret it effectively. But now, thanks to the ML techniques I've learned, I've uncovered insights I'd have missed otherwise. I've already received commendations on the depth of my recent paper, and my peers are all asking how I managed it! If you're serious about advancing in the academic world, you can't afford to miss out on this course."
Sofia, Postdoctoral Researcher
"The academic landscape is evolving, and staying ahead is crucial. This ML course bridged the gap between my traditional research methods and the cutting-edge techniques that top journals are now looking for. My recent publication got picked up by a leading psychology journal, and the feedback focused on the intricate data analysis, all thanks to the skills I picked up here. I've seen colleagues struggle to keep up, and I'm just grateful I took this course when I did."
Elsa, Master's Student in Developmental Psychology
"I always felt like I was one step behind in my research group, watching others dive into complex data sets while I stayed in the shallow end. But after this ML course, not only have I caught up, but I've also become the go-to person for data analysis! The fear of missing out on vital research opportunities is now a thing of the past. Plus, the practical ML applications tailored for psychological research? Absolute game-changer for my thesis!"
Q: I am not a techie person. Do I need to be good with tech stuff?
Q: I am not good at Maths or Statistics. How will I cope?
Q: Can I use this Certificate to jobs?
Q: How to access the Certificate?
Q: How to make best use of this course?
Q: Is this course suitable for someone looking to dive deep into the technicalities of machine learning, or is it more geared towards practical application in psychology research?
Q: What if I have a doubt, have suggestions, questions or require support from the tutor?
Q: I cannot find the dataset the instructor is using to practise. How to get that?
Q: How is this course different from the book?