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Professional Certificate

Artificial Intelligence & Machine Learning for Life Sciences

Build a structured understanding of data science, machine learning, deep learning and artificial intelligence with relevance to scientific applications.

£599.00
Enrol in this programme
4 coursesOnline learningSelf-paced
Programme overview

Connect knowledge.
Deepen your expertise.

This four-course programme progresses from foundational programming and data preparation concepts through machine learning, deep learning and broader AI methodologies. Learners examine how data-driven approaches can be applied to analytical problems and scientific research.

CPD
Who this programme is for

Designed for curious minds

Life science researchers, data science learners, biotechnology professionals, computational biology specialists and graduates.

Learning outcomes

What you will achieve

  • Explain fundamental concepts of data science and data preparation.
  • Describe the role of Python and computational tools in data analysis.
  • Distinguish between core machine learning approaches and their applications.
  • Examine the principles and capabilities of deep learning methodologies.
  • Discuss opportunities, limitations and applications of AI in scientific and life science contexts.
Programme curriculum

Your connected learning pathway

Explore each included course and the knowledge it brings to your programme.

01
Course 1

Data Science 1: Data Wrangling and Python

This introductory-level course provides a solid foundation for building and applying data science skills using the Python programming language.

What you’ll learn
  • Fundamental data science concepts.
  • Exposure to the most popular Python libraries used to tackle data science problems.
  • How to work with unclean data.
  • How to engineer new features to achieve your goals.
  • How to manipulate data and build basic models.
View full course details
02
Course 2

Data Science 2: Machine Learning

In this course, we continue our journey in the world of data science, moving from the data wrangling and Python explanations covered in the previous course to an overview of the most popular machine learning models in the industry. We start with linear regression and progress to the latest advancements with gradient boosting, as well as clustering and feature selection/ranking algorithms. Each topic provides a theoretical understanding paired with a hands-on exercise to be solved in Python using real-world data.

What you’ll learn
  • Fundamental machine learning concepts.
  • An understanding of various performance metrics for different models and techniques to optimise them.
  • How to work with supervised versus unsupervised data.
  • How to deal with overfitting and underfitting.
  • How to manipulate data and build classical machine learning models.
  • Bagging and Boosting techniques.
  • Dimensionality reduction.
View full course details
03
Course 3

Data Science 3: Deep Learning

In this course, we continue our journey deeper into machine learning, exploring popular deep learning techniques. This course focuses heavily on neural networks and the various architectures used to solve problems that other machine learning techniques cannot. From multi-layer perceptrons to convolutional neural networks and recurrent neural networks, we examine the pros and cons of each technique. Each topic provides a theoretical understanding paired with a hands-on exercise to be solved in Python using real-world data.

What you’ll learn
  • Fundamental deep learning concepts.
  • How to build a CNN for image classification.
  • How to build upon transfer learning.
  • How to build and train RNNs and LSTMs.
  • How to use deep learning techniques to optimise and accelerate the training of deep models.
View full course details
04
Course 4

Artificial Intelligence

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

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.
View full course details
Your achievement

Recognise your learning

Individual course certificates

Earn a certificate for each successfully completed CPD-accredited course.

CBEHx Professional Certificate

Complete all included courses to qualify for an additional consolidated programme certificate.

Support your professional development

Connect your knowledge

Study complementary scientific subjects together to build a broader understanding of the field.

Learn at your own pace

Fit online learning around your research, studies or professional commitments.

Recognise your learning

Keep your completed course certificates and programme certificate together in your learning space.

Our Students

Our students come from different organisations around the world including:

Organisations our students come from, as shown on the CBEHx home page

INNOVATION DRIVES SCIENCE FORWARD

We are proud to partner with the leading In2scienceUK. This is a step that drives us towards achieving our mission of empowering people with quality education and knowledge worldwide.

EMPOWERING PROGRESS THROUGH INNOVATION

Proud to provide specialised training to leading organisations worldwide.

Oxford Biomedica, CDI, Sangamo Therapeutics, ViennaLab and Animal & Plant Health Agency
Your next step

Enrol in this programme

One programme purchase

£599.00
  • All 4 included courses
  • Individual course certificates
  • Additional program certificate on completion
  • 365 days of course access

Enrolment will be available soon.

Annual membership

Go further with annual access

Eligible annual subscribers can access this programme alongside the wider course library.

£699.00 / year
  • Get 3 months free with annual access
  • Most learners complete 10–16 courses in 6 months
  • Serious learners choose annual
  • Build expertise across advanced bioscience topics with structured CPD learning
A little more clarity

Common questions

Will I receive a certificate for each course?

Yes. You will receive an individual CPD-accredited certificate for each successfully completed course. Once you have completed all courses in the programme, you will also receive an additional CBEHx Professional Certificate recognising the full learning pathway and its combined CPD learning hours. Read more in the Support Centre

Are the courses CPD-accredited?

Yes. Each course included in the programme is individually CPD-accredited. The additional consolidated Professional Certificate is issued by CBEHx and records the courses completed and their combined CPD learning hours. Read more in the Support Centre

Can my previous learning count?

No. Courses purchased or completed individually before enrolling in a Professional Certificate Programme do not count towards its requirements. To receive the consolidated CBEHx Professional Certificate, you must purchase the complete programme and successfully complete all included courses, or complete the requirements through an eligible annual subscription. Previously awarded individual course certificates remain valid. Read more in the Support Centre

Can I buy courses individually?

Yes. All constituent courses remain available for individual purchase. However, courses purchased individually do not count towards a Professional Certificate Programme, and individual purchases do not include the consolidated Professional Certificate. To earn it, purchase the complete programme or meet the requirements through an eligible annual subscription. Read more in the Support Centre

How long can I access the courses?

Standalone Professional Certificate purchases provide 12 months of course access from enrolment, subject to the published terms. If you access the courses through a subscription, access continues while your subscription remains active. Certificates already earned remain valid after access ends. Read more in the Support Centre