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Artificial Intelligence

This intermediate-level course introduces the principles of deep learning and artificial intelligence and addresses their main applications.

Starts 13th August 2022

About This Course

This course provides an intermediate level of study in artificial intelligence and learning models. It is designed to help students, data sciences and allied professions to understand critical concepts to their work. It is mainly focusing on different deep learning networks which can be used in different applications such as computer vision as well as natural language processing. The first part will review main concepts of machine and deep learnings, it discusses some essential methods to get you started. Further, the course will cover deep learning in computer vision application, convolutional neural nets. Next, will focus on recurrent neural nets which are mainly used in natural language processing, followed by generative models. Finally, we will finish by doing some hands-on coding practice to each aspect of the course.

Who Is This Course For

The course is well suited for the individual with Undergraduate and Postgraduate degrees in STEM.

What you'll learn

  • Learning the basics of machine learning and deep learning
  • Gain familiarity with many of the most common techniques in computer vision
  • Explore the use of powerful CNN networks in image analysis
  • Learning about RNN with applications in natural language processing
  • Practical session that students will learn to implement, train and test different neural networks and how to design their own models

Meet Your Instructor

Dr. Roushanak Rahmat

Dr. Roushanak Rahmat is an AI research scientist with research interests in medical imaging and cancer research. She was working on deep learning modeling for early detection of lung cancer at the Institute of Cancer Research (ICR), London. Before joining ICR, she was researching at the department of Neurosurgery, University of Cambridge and the School of Computer Science of the St. Andrews University. She obtained her PhD in Electrical, Electronics and Computer Engineering at Heriot-Watt University.

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The courses together with the seminars offered are based on a subscription package. You can choose a six-months and annual subscription. A six-months subscription costs £210/€260/$280, while an annual subscription costs £399/€480/$530. With a six-months or annual subscription, you get unlimited access to all the courses and on-demand seminars offered by CBEHx for the subscription duration. Upon unsubscribing, you will no longer have access to the contents. There is no limit to how many certificates you can earn during your subscription period. To subscribe, please visit the pricing page on

With the subscription, you get unlimited access to all the on-demand seminars and courses offered by CBEHx, provided your subscription remains active and CBEHx has not discontinued the same program. Upon unsubscribing, you will no longer have access to the courses and on-demand seminars content.

The course completion certificate is CPD accredited. For more informations please visit

Once you have subscribed, visit the seminars catalogue on Select the seminar that you want to view and enjoy the learning experience. You can watch each seminar as many times as you want. We keep on adding new seminars, so keep checking the catalogue for new seminar releases!