AI and machine learning
for your team.

• Applied machine learningSupervised and unsupervised learning: prediction, classification, clustering and anomaly detection. Data preparation, model selection and validation with Python.
• Neural networks and deep learningHow neural networks learn, how to train and evaluate them, and when to use them.
• Natural language processing and generative AIText and document analysis, language models, prompting, retrieval-augmented generation and evaluation.
• Optimisation and research agentsDefining objectives, testing alternatives, and using agents to run and evaluate experiments with human oversight.
• ML in productionData pipelines, deployment, monitoring, reproducibility and MLOps: taking models from notebooks into working products.
• AI for managersUnderstanding capabilities and limitations, choosing useful applications, and planning and leading delivery.

My priority is that every participant understands and gains the confidence to apply what they learn. Clear explanations, relatable examples and visual analogies make complex concepts approachable. Questions are welcome throughout.

Hands-on exercises connect the ideas to practical decisions, with notebooks and worked solutions to support continued learning after the session.

In person or remote. A full-day workshop is designed for up to 12 participants. Discovery, modest tailoring and participant materials are included; substantial bespoke work is quoted separately.

You provide the venue and devices. Scope, requirements and fees are agreed before booking.

I bring two decades of experience across AI research, industry and teaching. I’ve built AI products and led data science teams. My work spans insurance, telecoms, consumer goods and health technology, with applications in customer prediction, language and speech analysis, and optimisation.

I’ve taught on HSLU’s CAS Machine Learning since 2023, and have also taught at HSLU’s MSc Applied Information and Data Science, Constructor Learning and Virtido. At HWZ, I taught “From Idea to Production” on the CAS AI Management (2021–2022). More about my background.