Course overview
Start hereAI for Laboratory Technicians
START HERE

AI for Laboratory Technicians (Prompt Course)

15 lessons · 254 prompts

A day in the life of a Laboratory Technician: what changes with these prompts.

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Start here: practical AI prompts that make bench work faster, safer, and easier to document

This course gives laboratory technicians a complete, practical way to use AI and ChatGPT across daily tasks: from planning experiments and recording data to managing safety, compliance, equipment, and quality. Each module focuses on a common lab workflow and offers guided prompt strategies that help you think through decisions, reduce manual effort, and produce well-structured outputs you can reuse, audit, and share with your team.

You will learn how to set up AI as a reliable assistant that complements standard operating procedures, improves consistency, and shortens time-to-answers-without replacing professional judgment or regulatory requirements. The materials emphasize safe use, data integrity, and clear handoffs to existing systems such as LIMS, ELNs, CMMS, and inventory tools.

What you'll learn

  • How to use AI to support safe laboratory practices for chemical handling, biohazard management, and compliance checks.
  • Ways to streamline experiment planning, documentation, and recordkeeping so your work remains reproducible and audit-ready.
  • Methods for translating SOPs into actionable checklists, step sequences, and scenario-specific guidance while preserving approvals and version control.
  • Approaches for calibration planning, preventive maintenance scheduling, and equipment troubleshooting using clear, structured outputs.
  • Techniques for advanced data analysis, including pattern spotting, summarization, and result interpretation with appropriate caveats and validation steps.
  • Processes to improve inventory tracking, consumables forecasting, and restocking cadence so experiments are never delayed by missing materials.
  • Strategies for efficient literature review and research scanning that support experiment design and quality control decisions.
  • Good practices for risk assessment, documentation hygiene, and traceability across the complete lab workflow.

How this course works

  1. 15 lessonsOne task of your job each, from sample analysis overview to advanced data analysis.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish with the exam and a certificate for LinkedIn.