Practical learning · Scientific applications

Hands-on AI/ML Workshops

Move from AI concepts to a working scientific workflow.

Guided workshops for students, research scholars and faculty exploring AI/ML in drug discovery and computational research.

Discuss this programme

Who this is for

Pharmacy, biotechnology, chemistry, life sciences and related departments. Introductory or intermediate content can be agreed after a skills discussion.

What we can cover

Frame a scientific problem and inspect a suitable dataset.
Prepare data, choose descriptors or features and establish a baseline.
Train models and interpret validation results without data leakage.
Discuss model limitations, applicability and responsible reporting.

Outcomes to agree together

A guided practical workflow and worked examples.
Experience interpreting model results and common failure modes.
A clear route for further practice after the workshop.

Specific deliverables are confirmed in your programme proposal.

A format that fits your institution

Choose a focused introductory session or a multi-session practical programme. Duration, online/on-campus delivery, cohort size and prerequisites are agreed in the proposal.

Before we begin

Share your department, audience and goals.
Agree topics, prerequisites, responsibilities and schedule.
Confirm the proposal and prepare the required software or datasets.

Do participants need coding experience?

Not for every programme. We can discuss a visual workflow route using KNIME or a Python/Jupyter route matched to the group. Software setup requirements are shared before delivery.

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Let’s plan your institution’s next step

Tell us your department, participant level, preferred dates and the outcome you want to achieve. We’ll discuss a suitable scope and programme proposal.

Request a programme proposal

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