Next Level Planner_The Art of AI Service Planning

In the era of AI, the capabilities of planners are being redefined. For all planners who wish to develop the practical skills to integrate AI into existing services or design completely innovative new services, this course provides specific guidance on 'feasible methods and paths.'

7 learners are taking this course

Level Beginner

Course period 3 months

tensorrt
tensorrt
ChatGPT
ChatGPT
LLM
LLM
business
business
LangChain
LangChain
tensorrt
tensorrt
ChatGPT
ChatGPT
LLM
LLM
business
business
LangChain
LangChain
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What you will gain after the course

  • Understanding the Core Structure of AI Service Planning

  • LLMs and Latest AI Trends for Product Managers

  • Learning the planning process for applying AI models to services

  • Understanding AI Model Efficiency Strategies from a Planning Perspective

  • Ethics and Security Issues You Must Know When Planning AI Services

In the AI era, the capabilities of a planner are being redefined.

  • What do you need to know to plan and develop a new service that utilizes AI?


    - First, you must be able to determine what kind of services are possible.


    - You must be able to compare new development methodologies and select the appropriate one.


    - You must be able to make decisions regarding technology application from the perspectives of cost and efficiency.


    - You must be able to collaborate and communicate with developers.


    - Must be able to establish a step-by-step development plan


    - You must be able to carry out planning that reflects ethics and security perspectives.


  • Through this course, you will learn practical methodologies for AI service planning,

    You can establish a foundation for practical application and implementation.



💡It is difficult to approach AI service development.

If a planner approaches this without a technical background, it becomes difficult to set a direction, and limitations arise in communicating with developers. While it is not necessary to know every technology, it is essential to establish a comprehensive framework of knowledge that must be understood. Despite the growing need for AI adoption, it remains difficult to find specific methodologies for connecting it to actual services and businesses.

Currently, AI adoption is being accelerated across all business sectors. New initiatives utilizing AI are being attempted in areas such as new services, products, platforms, and management. Planning practitioners and managers need the capability to broadly understand and execute AI service planning and development knowledge. Developers starting AI development need to rapidly expand their capabilities.


What you will learn

Direct lecture by a current Kakao AI Engineer!

An instructor with a PhD who researched deep learning and autonomous driving explains the content in an easy-to-understand way, drawing from their experience in AI-related writing and seminars. Currently working as an AI engineer at Kakao, they will share practical insights through real-world industry cases.

This is a comprehensive course that covers everything from basic AI concepts to the latest technology trends, with a focus on practical application.

The course covers a wide range of topics, starting from basic AI understanding to model application, optimization, and the latest trends in LLM technology. It also systematically organizes knowledge that can be immediately applied in practice, including ethical and security issues to consider during actual implementation.

Explains the principle of how AI analyzes the correlation between images and text numerically.

It shows the process of calculating relationship maps with examples to find the sentence that best describes an image. Through this, you can easily understand how AI connects and understands visual and linguistic information.

Explains the process of connecting an AI model to a server and API for use in an app.

It covers the flow where a handwritten digit image entered by a user is sent to a server via an API, and the server's AI model analyzes the image to return the result. Through this, you can intuitively understand the principles of how AI models are applied to actual services or apps.

This shows an example of actually generating a travel itinerary using a commercial AI model (GPT-5).

The AI automatically suggests a travel itinerary to enjoy Seoul for a day, providing specific locations and activities for morning, lunch, and afternoon courses. Through this, you can understand how AI models perform natural sentence generation and personalized suggestions.

Explains the decision-making process of an AI service planner, from model selection to balancing cost and quality.

Initially, the service is launched quickly using commercial AI models (APIs), while data collection and legal reviews are conducted during service operation. In the long term, once sufficient data and resources are secured, a strategy is established to transition to self-training using open-source models.

Recommended for
these people

Who is this course right for?

  • Planners, practitioners, and managers looking to implement AI into services, products, platforms, etc.

  • PMs, POs, and UX planners who collaborate with developers to plan AI services.

  • Those who want to learn the big picture of AI planning even without any prior knowledge.

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