AI training for every role in your organisation.

CTOs, CIOs and IT heads. Core AI and generative AI concepts, where they create value across the business, and the limits and ethical issues tech leaders need to plan for.

Business leaders and change champions. A shared understanding of AI and generative AI, from content and product design to customer experience, so you can lead adoption responsibly.

Data scientists, IT managers and newcomers to AI. Applications, key concepts and deep learning techniques, moving on to advanced methods and ethics, and ending with a hands-on project where you build your own generative AI model.

Managers, engineers and developers. How AI evolved, symbolic and subsymbolic AI, computer vision, natural language processing and reinforcement learning, and how transformers and GPT models power tools like ChatGPT.

Programmers. Generative AI concepts applied to day-to-day coding, plus the limits and ethics to keep in mind.

Software engineers. Where AI fits across the software lifecycle and how to use it responsibly.

Developers. How coding agents plan, act and check their work, and why human review still matters. Hands-on practice with Claude Code: managing context, guiding the agent across a project, and automating recurring workflows with reusable skills.

Developers. Go beyond chatbots: retrieval-augmented generation (RAG) with cited sources, tool use, multi-step pipelines that run unsupervised, multimodal output, and coordinating teams of agents with multi-agent frameworks.

Aspiring and practising AI engineers. The full AI system lifecycle: neural networks in PyTorch, LLM APIs, Streamlit apps, transformers, RAG and agents, followed by evaluation, monitoring and production deployment.

Data scientists. Generative AI concepts for data science work, and the ethical issues to manage.

Analysts and BI teams. How AI is changing analytics and reporting, and how to apply it responsibly.

Data scientists and ML practitioners. Interpret models with coefficients and feature importance, then go deeper with SHAP and LIME.

Executives and managers. The types of AI-generated attacks, how to recognise them, and how to protect your organisation, from a leadership point of view.

IT and security professionals. Attack types, how to detect them, and practical mitigations, from an engineering point of view.

HR and people teams. AI and generative AI concepts in an HR context, with attention to ethics and fairness.

Supply chain and logistics professionals. Demand forecasting, inventory optimisation, route planning and supplier risk: what AI can realistically do today, where human judgement stays essential, and how to judge whether a solution fits.