Priya's Wednesday, two ways
9 lessons · 22 prompts
A day in the life of a Systems Engineer: what changes with these prompts.
Track progress as a memberPriya, 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
- 9 lessonsOne task of your job each, from explain systems in plain english to document and hand over.
- Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
- Tick and completeTick the prompts you tried and mark each lesson complete.
- Get certifiedFinish and keep the prompts as your own library.