Course overview
Start hereAI for Research and Development Engineers
START HERE

AI for Research and Development Engineers (Prompt Course)

15 lessons · 270 prompts

A day in the life of a Research and Development Engineer: what changes with these prompts.

Track progress as a member

Start here: turn R&D tasks into dependable AI workflows

This prompt course teaches research and development engineers how to convert everyday engineering questions into clear, auditable, and repeatable AI-assisted workflows. Rather than isolated tricks, you'll learn a coherent system that maps prompts to the full R&D lifecycle-from early research and concept exploration through design, prototyping, testing, compliance, sustainability review, and long-term planning. The result is faster iteration, better traceability, and improved decision support across teams.

What you'll learn

  • How to frame engineering problems for AI: objectives, constraints, domain context, and success criteria.
  • Ways to create reusable prompt patterns with consistent structure, units, and output formats.
  • Validation habits for high-stakes work: source checking, cross-model comparisons, and numerical sanity checks.
  • How to combine qualitative insights (papers, standards, expert notes) with quantitative data (tables, experiments, simulations).
  • Techniques for traceable outputs that fit into reports, test plans, design memos, and compliance documents.
  • Risk controls for confidentiality, IP, ethics, and data governance.
  • Collaboration practices so prompts and outputs can be reviewed, versioned, and reused across teams.

How this course works

  1. 15 lessonsOne task of your job each, from literature review assistance to technology roadmapping.
  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.