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AI for Software Engineers (Prompt Course)
20 lessons · 385 prompts
A day in the life of a Software Engineer: what changes with these prompts.
Track progress as a memberShip reliable software faster with AI co-engineering: start here
AI for Software Engineers (Prompt Course) shows you how to pair with AI across the entire software development lifecycle. Instead of treating AI as a novelty, you will learn repeatable prompt patterns that help you reason about design choices, write cleaner code, catch defects earlier, and keep delivery predictable. The course is structured so you can apply each section to real projects immediately, while also building habits that make AI collaboration safe, auditable, and team-friendly.
What you'll learn
- How to use AI as a debugging partner that explains errors, proposes fixes, and helps isolate root causes without guesswork.
- How to compare algorithms and data structures for correctness and trade-offs, with guidance that matches your constraints.
- How to apply software design patterns appropriately and avoid over-engineering.
- How to build and integrate APIs cleanly, including schema comprehension, error handling, and versioning considerations.
- How to plan and generate effective unit tests and test doubles that improve confidence and coverage.
- How to profile performance and interpret results, then turn findings into action.
- How to apply secure coding practices and identify risks early, including dependency and secret handling.
- How to connect ML components to production software responsibly, with monitoring and fallback paths.
How this course works
- 20 lessonsOne task of your job each, from code debugging to software licensing and compliance.
- 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 with the exam and a certificate for LinkedIn.