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

1. Prompt Basics and Failure Modes
2. Few-Shot, Role, and Template Patterns
3. Structured Outputs and Validation
4. Prompt Testing and Iteration Loop
5. 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.