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Next Level Planner_The Technology of AI Service Planning

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

2 learners are taking this course

  • skmns
ai서비스기획
llm활용
오픈소스ai
모델튜닝
ai서비스개발
tensorrt
ChatGPT
LLM
business
LangChain

What you will learn!

  • Understanding the Core Structure of AI Service Planning

  • What Planners Need to Know About LLMs and the Latest AI Trends

  • Learning the Planning Process for Applying AI Models to Services

  • Understanding AI Model Efficiency Strategies from a Planning Perspective

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

In the AI era, the capabilities of planners are being redefined.

  • What do you need to know to plan and develop new services that utilize AI?


    - First, you need to be able to determine what services are possible.


    - You should be able to compare new development methodologies and select appropriate methods.


    - You should be able to make decisions about technology adoption from the perspective of cost and efficiency.


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


    - You must be able to establish a step-by-step development plan


    - You should be able to perform planning that reflects ethical 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's difficult to approach AI service development.

When planners approach without technical background, it becomes difficult to set direction and communication with developers becomes limited. While you don't need to know every technology, you must establish a comprehensive knowledge framework of essential concepts. Despite the growing need for AI adoption, it's difficult to know specific methodologies for connecting this to actual services and business.

Currently, all business sectors are accelerating AI adoption. They are attempting new initiatives that utilize AI in areas such as new services and products, platforms, and business 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.


You'll learn this kind of content

Direct instruction from 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 based on their experience in AI-related writing and seminars. Currently working as an AI engineer at Kakao, they share practical insights through real-world cases from the field.

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 with basic AI understanding and extending to model application and optimization, as well as the latest LLM technology trends. It also systematically organizes practical knowledge that can be immediately applied in the field, including ethical and security issues that must be considered in real-world applications.

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

This shows the process of calculating relationships to find the sentence that best describes an image, along with examples. Through this, you can easily understand how AI connects and comprehends visual information and linguistic information.

Explains the process of connecting AI models to servers and APIs for use in applications.

This covers the flow of sending handwritten digit images input by users to a server via API, where the server's AI model analyzes the images and returns results. Through this, you can intuitively understand the principles of how AI models are applied to actual services or apps.

Shows an example of actually generating travel itineraries using a commercial AI model (GPT-5).

AI automatically suggests a travel itinerary to enjoy Seoul in one 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 recommendations.

Explains the decision-making process that AI service planners consider from model selection to balancing cost and quality.

Initially, we utilize commercial AI models (APIs) to quickly launch services, while collecting data and conducting legal reviews during service operations. In the long term, we establish a strategy to transition to self-training using open-source models once sufficient data and resources are secured.

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Who is this course right for?

  • Planners, practitioners, and managers who want to introduce AI into services, products, platforms, etc.

  • PM, PO, and UX planners who collaborate with developers to plan AI services

  • Those who want to learn the overall picture of AI planning without prior knowledge

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Curriculum

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16 lectures ∙ (4hr 25min)

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