Improving the efficiency of the company's work! From strategy design to documentation with AI

Practice thinking structures that define and solve problems by combining them with generative AI.

Learn prompt engineering techniques and apply a problem-solving framework,

It provides the experience of designing and documenting strategies with AI.

Prompt engineering structured training optimized for practice

Beyond vague use, you will have the ability to design systematic prompts.

You will be training to design a “conversation that can solve problems” based on the latest techniques.

You can learn by using it yourself through various practical missions.

💡 It's so different after taking the course

• Learn how to design prompts that are immediately used in practice

• Thinking system training for problem solving

• Improving the ability to write planning documents using AI

• Strengthening practical capabilities to collaborate with generative AI

🧡 I recommend it to people like this

• Those who want to make proper use of generative AI

• An office worker who frequently plans, analyzes, and writes reports

• Those who want to learn problem definition and strategy formulation

• Students who want to strengthen their thinking skills

✅ 3 reasons why this class is special

❶ Treating prompts in the language of strategy

This lesson isn't just about creating “good questions.”

Understand the nature of the problem and learn structural prompt design to induce the intended flow of thought for AI.

Now that “how to ask” is more important than “what to ask,” role-based, Chain of Thought,

The practice focuses on practical techniques such as goal-oriented prompts.

❷ Fusion learning with problem solving frameworks

What is important before designing a prompt is 'problem definition'.

This class first establishes a framework for thinking through problem-solving frameworks such as AS-IS/TO-BE analysis and design thinking.

Then, based on this framework, AI is strategically used to analyze problems and derive solutions.

AI will become a thought partner rather than a tool.

❸ A hands-on project to document deliverables

Ideas created in collaboration with AI must be recorded and documented before they can be used in practice.

At the end of the class, documentation work is carried out to organize the results, such as proposals and action plans.

Notes before taking the course

This class is a hands-on class for those who want to use generative AI as a problem-solving tool rather than simply using it. It mainly consists of practical exercises. From problem recognition to action plans, we expand thinking with AI and document results.