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Artificial Intelligence

This intermediate-level course introduces the core principles of deep learning and artificial intelligence, with a focus on their most common applications.

£250.00

Starts 14th September 2026

Enrol Now

Artificial Intelligence

This intermediate-level course introduces the core principles of deep learning and artificial intelligence, with a focus on their most common applications.

£250.00

Starts 14th September 2026

Enrol Now

About This Course

This course provides an intermediate-level introduction to artificial intelligence and learning models. It is designed to support students, data scientists, and professionals in related fields in understanding key concepts relevant to their work. The primary focus is on deep learning networks and how they are applied in areas such as computer vision and natural language processing. The course begins with a review of foundational concepts in machine learning and deep learning, introducing essential methods to get you started. You will then explore deep learning for computer vision, including convolutional neural networks (CNNs). The course continues with recurrent neural networks (RNNs), widely used in natural language processing, and moves on to generative models. The final part of the course includes hands-on coding exercises to help you apply your knowledge by implementing, training, and testing different neural networks.
  • 9 Modules
  • 13 Hours
  • Level: Intermediate
  • Language: English
  • Course Type: Self-paced
  • CPD Accredited Certificate
  • Online Learning
9 Modules
13 Hours
Level: Intermediate
Language: English
Course Type: Self-paced
CPD Accredited Certificate
Online Learning
CPD ACCREDITED

Who Is This Course For

This course is ideal for individuals with undergraduate or postgraduate degrees in STEM fields who are looking to build their knowledge and practical skills in artificial intelligence and deep learning.

What you'll learn

  • Understand the basics of machine learning and deep learning.
  • Gain familiarity with common techniques used in computer vision.
  • Explore convolutional neural networks (CNNs) and their application in image analysis.
  • Learn about recurrent neural networks (RNNs) and their role in natural language processing.
  • Apply your skills in practical sessions by implementing, training, and testing neural networks, and designing your own models.

Course Content

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.

Our Partners

We are proud to partner with the leading In2scienceUK as a step towards achieving our mission of imparting quality education and knowledge across the globe.

How This Course Supports Your Career Development

Biotechnology is one of the fastest-evolving industries in the world, creating demand for professionals with knowledge of emerging fields such as genomics, gene therapy, bioinformatics, artificial intelligence and precision medicine.

Our learners include students, graduates, researchers and professionals from leading universities, pharmaceutical companies, biotechnology organisations and research institutions across the UK and internationally.

Upon successful completion, learners receive a CPD-accredited certificate and earn recognised CPD hours that can be included on CVs, LinkedIn profiles, professional portfolios and CPD records.

By completing this course, you will strengthen your scientific knowledge, earn valuable CPD hours and demonstrate a commitment to continuous professional development within the life sciences sector.

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Usually, there are no general prerequisites when enrolling for any individual courses on cbehx.co.uk. However, some courses are certainly more advanced than others that are of introductory and intermediate level. For advanced-level courses, prior knowledge on the topic will be helpful for understanding complex concepts but not mandatory.

The relevant information about the suggested knowledge and background that might be helpful to follow each course is provided on the respective course registration page.

Yes, the courses are flexible and self-paced to suit your schedule. The term “self-paced” implies that the courses do not follow a pre-assigned schedule for learning within the course duration. You will be able to access all the course materials for each course that you have enrolled in as soon as the course begins.

The course completion certificate is CPD accredited. For more informations please visit https://cpduk.co.uk