Practical AI Training for People, Teams & Organisations

Build practical confidence using ChatGPT and Microsoft Copilot for everyday work while improving prompting, output review and responsible use.

Learn how to use Claude effectively for writing, analysis, document work, research and structured problem-solving in professional environments.

Develop practical skills for using Google's Gemini capabilities across research, content creation, analysis and everyday workplace tasks.

Learn how to use NotebookLM to work with trusted source material, explore documents, synthesise information and accelerate research.

Build stronger prompting skills through practical instruction design, context setting, examples, iteration, workflow design and output review.

Understand how AI agents work, how they use tools and take actions, and the practical opportunities and risks created by more autonomous AI.

Explore how AI agents can support real business processes, where agentic workflows create value and what controls should accompany deployment.

Learn how to design focused AI assistants using clear instructions, knowledge sources, reusable workflows and appropriate governance boundaries.

Learn how AI can be combined with automation to improve workflows, reduce repetitive work and connect information, decisions and actions.

Understand how multiple AI agents can coordinate specialised roles, exchange information and complete complex workflows within defined controls.

Build a broader understanding of how organisations can adopt, govern, scale and operate AI across teams, systems and business functions.

Understand the opportunities, trade-offs and operating considerations involved in using open-weight and privately deployed language models.

Explore practical approaches to using AI with sensitive organisational information while strengthening privacy, security and deployment controls.

Learn the foundations of connecting AI models and services with applications, workflows, data sources and organisational systems through APIs.

Understand how retrieval-augmented generation can connect AI with trusted organisational knowledge while managing access, data quality and security.