The rise of large language models (LLMs) like ChatGPT has revolutionized how we interact with technology, making prompt engineering a crucial skill for the future. But can this skill be taught effectively? A recent study explored the impact of prompt engineering intervention on undergraduate students, examining its effects on their AI self-efficacy, knowledge, and prompt engineering abilities. The study involved a 100-minute workshop with 27 undergraduate students in a history course at a Hong Kong university. The workshop covered prompt engineering strategies, and students applied these techniques to plan their final essays. The results were fascinating. While the intervention didn't show a statistically significant improvement in students' AI self-efficacy (confidence in using AI), there were positive trends. More interestingly, students' knowledge of generative AI and, crucially, their practical prompt engineering skills saw substantial improvement. Students who previously struggled to interact effectively with LLMs demonstrated a marked increase in their ability to craft sophisticated prompts. This research suggests that focused prompt engineering training can empower students to leverage the full potential of AI tools. While this particular study was limited in scope (small sample size, specific use case), it highlights the potential of prompt engineering education. Further research with larger, more diverse groups is needed to confirm these findings. However, the initial results are promising, suggesting that with the right training, we can equip students to become confident and capable AI users, ready to thrive in an AI-driven world.