Prompt Engineering · Lesson 1 of 4
Course Orientation: Detailed Learning Path
Prompt Engineering: Course Orientation
This orientation makes the prompt engineering course actionable and measurable.
Learning Outcomes
After completing this course, you should be able to:
- design robust prompts for different task types
- implement few-shot and role-based prompting patterns
- generate reliable structured JSON outputs
- evaluate prompt quality with repeatable tests
Course Modules
- Prompt Basics and Failure Modes
- Few-Shot, Role, and Template Patterns
- Structured Outputs and Validation
- Prompt Testing and Iteration Loop
- End-to-End Chatbot Prompt System
Detailed Practice Expectations
For each module:
- write at least 3 prompt variants
- compare outputs for consistency and failure cases
- document one improvement iteration and why it worked
Evaluation Rubric
Score prompts on:
- correctness
- completeness
- consistency across runs
- safety/policy alignment
Track this in a small markdown table after each session.
Weekly Plan
- Session 1: read concept notes + build first prompts
- Session 2: run prompt comparison experiments
- Session 3: implement validation and fallback patterns
- Session 4: write short reflection and publish progress
Capstone for This Course
Build a mini prompt-driven assistant with:
- reusable system/user templates
- JSON output schema validation
- fallback handling for malformed responses
FAQ
Is prompt engineering enough without coding?
No. Production prompt engineering requires app-layer code and validation.
Should I memorize prompts?
No. Learn reusable patterns and iterative evaluation.