Course overview
Start hereAI for Systems Engineers
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Priya's Wednesday, two ways

9 lessons · 22 prompts

A day in the life of a Systems Engineer: what changes with these prompts.

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Priya, a systems engineer at a mid-sized logistics company

Priya starts her Wednesday with a design document for a new inventory tracking system. She has rough notes from meetings and a list of requirements. She opens ChatGPT and uses the prompt from the 'Draft Design Documents' lesson: 'Turn these notes into a design doc outline with sections for architecture, data flow, and integration points.' The AI produces a structured outline in seconds. Priya refines it and shares it with her team before lunch.

After lunch, a critical server is throwing errors. Priya copies the error text and uses the 'Troubleshoot From Symptoms' prompt: 'List likely causes and diagnostic steps for this error.' The AI suggests checking disk space and a recent configuration change. Priya investigates and finds the issue in minutes, avoiding a lengthy outage.

Later, she needs to plan a migration to a new cloud platform. She uses the 'Plan Integration And Migration' prompt: 'Create a cutover plan with rollback steps for migrating our inventory system.' The AI generates a checklist she can adapt. She also uses the 'Check Security And Compliance' prompt to compare her configuration against a hardening standard, saving hours of manual review.

With the time she saves, Priya leaves work on time and goes for a run. She feels more in control and less stressed, knowing she can handle whatever comes up.

Before

  • Drowning in design docs and notes
  • Troubleshooting feels like guesswork
  • Migration plans take days to draft
  • Security checks eat up entire afternoons

After this course

  • Design docs drafted in minutes
  • Troubleshooting guided by clear steps
  • Migration plans ready in an hour
  • Security checks done quickly and thoroughly

What you'll learn

  • Explain systems clearly: Turn dense architecture and vendor material into plain English for non-engineers.
  • Draft design docs: Produce design documents and decision records from your rough notes and requirements.
  • Troubleshoot from symptoms: Get structured diagnostic steps and likely causes from logs or user descriptions.
  • Automate deployments: Write and review scripts, infrastructure-as-code, and pipeline steps for repeatable deployments.
  • Plan integrations: Build cutover plans, dependency maps, and rollback steps before touching production.
  • Check security: Compare configurations against hardening standards and produce audit evidence.
  • Plan capacity: Turn monitoring data into sizing estimates and performance test plans.
  • Evaluate technologies: Compare options and scope proof-of-concept work before committing budget.

How this course works

  1. 9 lessonsOne task of your job each, from explain systems in plain english to document and hand over.
  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 and keep the prompts as your own library.