Practical, hands-on training for scientists, automation engineers, and technical teams — covering liquid handling, workflow automation, instrument integration, data science, and AI-enabled tools. Customised to your team's level and your lab's systems - often whilst assisting development and implementation of real life lab requirements or even during remote trouble-shooting sessions. Remote and onsite delivery available.
Training is tailored to your team's existing knowledge and your lab's specific systems — we don't deliver generic courses. Everything is practical and grounded in real laboratory contexts.
Understanding liquid class parameters, optimising for accuracy and precision, troubleshooting common failures, and designing robust methods for your specific assays.
Core concepts of laboratory automation — what to automate, how to design workflows, how to handle exceptions, and how to think about automation as a system.
How laboratory instruments connect to data systems — APIs, file formats, LIMS/ELN interfaces, data pipelines, and basic troubleshooting.
Using data from automated systems for QC monitoring — reading control charts, understanding statistical process control, and using analytics tools.
Introduction to practical AI applications in the laboratory — what AI can and can't do, how to use AI-assisted tools safely, and what to watch out for.
Writing clear, maintainable method documentation and SOPs — ensuring institutional knowledge is captured and transferable.
Training can be delivered in a range of formats depending on your team's needs, location, and the subject matter. All training includes supporting materials and a follow-up period for questions.
Tell us about your team, your systems, and what skills you want to build. We'll suggest a training approach that fits your needs and budget — from a single session to a longer programme.
Remote and onsite delivery available · Based in Australia · Custom packages available