🎓 Module 2 Complete – Building Prompt Engineering Foundations

Today I completed Module 2 of the Prompt Engineering for ChatGPT course by Vanderbilt University on Coursera.

While the material wasn’t entirely new to me, it was still a valuable experience. The structure helped me revisit essential ideas, clarify terminology, and reframe familiar practices in a more systematic way.

This module covered:

• What prompts are and how they work

• Prompt patterns, especially the “Persona Pattern”

• Introducing new information to the LLM

• Prompt length limitations and reusability

• Root prompts and few-shot prompting

All exercises were graded by AI, and I received 100% scores, which I take as a sign that I’m on the right track. It’s early in the course, so I expect more depth in the upcoming modules.

Even though I didn’t encounter anything dramatically new, this has been a useful chance to consolidate what I already know and prepare for more advanced topics ahead.

Still aiming to finish the certification before our upcoming family trip to Japan 🇯🇵 in May — staying on track so far.