Prompt Engineering: Complete Guide

Can you survive as a developer in the rapidly evolving AI era? 🧐

Today's development landscape is rapidly evolving beyond simple web development and into AI technology . Are you prepared? To avoid falling behind in this changing environment, we need to consider what truly critical capabilities are essential for AI development. " Prompt design skills " are the cornerstone.

You think prompt design should be left to prompt engineers? Prompt design skills are no longer a specialized skill reserved for a select few . Back when information retrieval technology was first emerging, the difficulty of searching gave rise to the profession of "information retrieval specialist." Does that profession still exist today? No.

Going forward, developers will need to design prompts as if they were writing code . Prompt design is now a fundamental language-level skill that everyone should master, much like learning Java . This course will systematically teach you everything from the basic concepts of LLM to advanced prompt design techniques . By mastering the essential skills for the AI era, you will be able to grow into a developer who is one step ahead. I believe this course will serve as a solid foundation for your career advancement.

Why I Created This Course

• Since the birth of the web, countless developers have jumped into web development, creating a new technological ecosystem. Now, with the advent of large-scale language models (LLMs), another paradigm shift is dawning. In the coming AI era, application development will become as natural as web development, and the key competency leading this trend is prompt design.

• I've learned this from developing AI applications. It's not enough to simply ask a model questions and receive results; you need the "fundamentals" to derive the desired answers . These fundamentals are essential skills for future developers . Just as learning languages like Java or Python is essential, the ability to design prompts is now becoming an essential skill.

• In this context, I designed this course as a preparatory step for the coming era. Over the past four months, I've dedicated countless hours to this course. I've spent countless hours on my laptop, weekdays and weekends alike, revisiting drafts, reviewing papers, brainstorming better delivery methods, creating hands-on examples, and refining the concepts. This course, born from this process, embodies both my own personal insights and the core principles I believe future developers should grasp. I hope this course will serve as a solid foundation for developers entering the AI era.

  
  

Lecture Features

📌 It is structured so that you can learn everything from the basic concepts of what LLM is to advanced prompting techniques , and expand your skills step by step based on a solid foundation.

📌 We provide practical know-how that can be applied immediately in actual service environments through Anthropic API integration and model parameter setting methods .

📌 By learning prompt design methods and evaluation techniques , you can gain the ability to accurately elicit desired responses, thereby maximizing the efficiency of model utilization.

📌 You can learn strategies to maximize the potential of models by solving complex problems step by step through advanced techniques such as In-Context Learning, Decomposition, Self-Criticism, and Ensembling .

📌 Flow Engineering and Auto Prompt Engineering help you optimize the process of designing, managing, and automating prompts, building workflows that maximize development productivity and maintain consistent quality.

📌 Through advanced prompting techniques analyzed and applied in approximately 60 recent papers , this course presents practical strategies based on cutting-edge research results.

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After class

• Beyond simply calling LLM, you'll gain the ability to design sophisticated prompts to elicit the exact answers you want.

• Understanding the different LLM models will help you choose the optimal prompting strategy for your situation and goals.

• By mastering automated prompt design and conversation flow management techniques, you will be able to achieve efficient and consistent results even in complex service environments.

• Advanced techniques such as In-Context Learning, Self-Criticism, and Ensembling can help you overcome model limitations and elevate service quality to the next level.

• By acquiring "prompt design skills" for the AI era, you'll secure a solid foundation for becoming a competitive developer in the market.

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Things to note before taking the course