Principles and Learning of Multimodal AI

Chapter 1 General Rule

Article 1 (Purpose)

The purpose of these Terms and Conditions shall be that the customer (hereinafter referred to as "Member") using all member information services (hereinafter referred to as "Service") provided by the K-MOOC (hereinafter referred to as the "Site") operated by the National Institute for Lifelong Education (hereinafter referred to as NILE) and the 'Site' specify the terms and procedures and other necessary matters regarding the use of the 'Services'.

Article 2 (Effect and Change of Terms)

1. This Agreement will be effective when the Member clicks the "Agree" button in response to the question "Do you agree with the Terms?"

2. The 'Site' may change these Terms and Conditions, and the modified Terms will be announced to 'Member's for 7 days prior to the effective date and will be effective on the applicable date'

3. If 'Member' does not agree to the modified terms, 'Member' may stop using the 'Service' and withdraw. If 'Member' continues to use the 'Services' after the terms have been changed, the 'Member' shall be deemed to have agreed to the terms of this Agreement.

Article 3 (Regulations other than the Terms and Conditions)

When any matters not specified in these Terms and Conditions are specified in relevant laws and regulations, they shall be governed by the relevant laws and regulations.

Chapter 2 Membership sign-up and Service Usage

Article 4 (Usage Contract)

Use of the 'Service' is permitted only if the 'homepage' is permitted and the 'Member' agrees to the Terms and Conditions.

Article 5 (Application for Use)

1. In order to use this service, you must record your information on the form prescribed by 'this site'.

2. The user information shown on the subscription form is considered actual data. Users who do not enter real information will not be legally protected.

Article 6 (Approval of Use Application)

1. The 'Site' approves the use of 'Service's when 'Member' makes a complete application by writing all matters correctly. However, the following cases are an exception.

① If the application is made using someone else's name

② If you have filed a false application for the membership application form

③ If you applied for the purpose of hindering social well-being, order or morals

④ If you interfere with another person's use of the site services or take actions such ass tealing the information

⑤ If you do the acts prohibited by laws and regulations and the terms from using the site

⑥ If you do not have enough membership requirements set by the site

2. The information that the member enters is shown below. In addition to the information below, the 'Site' may require the 'Member' to enter additional information.

- Required items: Email, real name, ID, password, country, gender, year of birth

- Optional items: Place of residence, the highest level of education, purpose of enrollment

Article 7 (Change of Contract Items and Information Retention/Use Period)

1. The 'Member', if changes are made to the information entered when applying for 'Service', must correct it online.

2. From the moment you register as a 'member', the 'site' can hold and use the information of 'member'.

3. From the moment the 'Member' leaves the site, the information of the 'Member' will not be available on the site. However, in order to protect personal information, the 'Site' may retain the information of the 'Member' for 20 days from the moment when membership is withdrawn.

Article 8 (Collection of Personal Information by Cookies)

1. The 'Site' sends cookies to the user's personal computer to provide specialized services for each user.

2. In order for the user to be able to use it conveniently with one login, he or she must accept cookies.

3. Cookies are used to identify the characteristics of users who visit the 'site'.

4. Users can selectively accept cookies by adjusting options in the web browser. If you refuse to accept cookies, you will not be able to use the services that require log-in.

Chapter 3 Cancellation of Contract

Article 9 (Cancellation of Contract)

1. 'Member' may initiate complaints about the processing of member information through online.

2. When a 'member' wishes to terminate the service use contract, he or she may request the termination of the contract by e-mail with his or her name, ID, date of birth, or you must apply for withdrawal in 'membership withdrawal' menu of member information correction.

Article 10 (Disqualification)

In the event of the following reasons, the 'Site' may cancel the use contract without any prior notice or terminate the service use by determining a period.

1. If you missed the 'Basic Information' in Article 6 (2)

2. If you register with false contents when you apply for membership

3. If you have stolen someone's ID and password

4. If you infringe the intellectual property rights of the site, other members or third parties

5. If you do the act of harming social well-being and order, public morals

6. In the event of an act that damages or causes disadvantage to others' honor

Chapter 4 Responsibility

Article 11 (The Obligations of the 'Site')

1. In order to facilitate the use of the sites affiliated with the 'Site', the 'Site' may share the information of the 'Member' with the affiliated sites, and for the purpose of sharing, the 'Site' can send cookies to the computer of 'Member'.

2. The 'Site' does not disclose or distribute the personal information of 'Member' which is known by 'Service' provision to a third party without the consent of the user. However, the following exceptions apply.

① If there are special regulations in laws such as Act on Financial Real Name Transaction and Confidentiality, Use and Protection of Credit Information, Basic Law of Telecommunications, Telecommunications Business Act, Local Tax Act, Consumer Protection Act, Bank of Korea Act and Criminal Procedure Act

② When necessary for statistical writing / academic research or market research, if it is provided in an unidentifiable form for a specific individual

③ The 'Site' may use all or part of the information of 'Member' as statistical data related to the business'

④ The 'Site' strives to ensure that the 'Service' operates consistently and reliably. If the 'Service' is interrupted for any unavoidable reason, we will do our best to repair and recover it without delay. However, in case of natural disasters, emergencies, periodic system inspections and the necessity of 'NILE', we may stop or suspend the service temporarily.

Article 12 (Consent on the Use of 'Member' Information)

1. NILE operates various websites in addition to this site. NILE collects member's information for the purpose of providing services of the main site and various subsites operated by NILE, and can use the collected information of members.

2. The 'Site' may be affiliated with various education related associations and business operators for the quality of their services and may share their membership information. In such case, the 'Site' shall disclose the partnership, purpose, and contents to the Terms in this Article and shall be provided to the Affiliates after the consent of 'Member' is obtained.'

3. The consent of the 'Member' under the provisions of this Article shall be effected by clicking the button for subscribing to the information service provided in the Terms and Conditions and the entry screen of member enrollment information.

Article 13 (Obligations of Member)

1. 'Member's are responsible for the management of their ID and password.

2. 'Member' shall not assign, give, loan his or her ID to another person or allow others to use it.

3. If your ID is used improperly, the 'Member' must notify it to NILE.

4. "Member" can not use the data registered in the post to conduct sales activities.

5. 'Member' must receive a notice mail from the "Site".

Article 14 (Member Posts)

1. Posts include all writings made by members on the various boards of the 'Site'.

2. Any loss or problem arising out of the information posted by members and Q&A is solely the responsibility of the member, and the 'site' is not responsible for it unless it is the intention of the 'site'.

3. In the event of any claims, lawsuits, or any other disputes against the 'site' arising out of any third party due to the member' s posting, the member shall bear the cost of the settlement and process the dispute for the site, In the event that the 'Site' compensates the third party or damages occur to the 'Site', the member shall compensate the 'Site'.

4. The 'Site' shall delete member's post without prior notice in the event that the post of the 'Member' fall under any of the following: However, the 'site' does not have any obligation to inspect or censor the post.

① If you defame a third party by slander

② In case of contents that hinder public order or good morals

③ In case of infringement of copyright of the 'Site' or copyright of third party etc.

④ When the posting period stipulated in the 'Site is exceed

⑤ In case of a commercial post, a money-making advertisement, a good luck letter, etc.

⑥ In case of not meeting the purpose of site opening

⑦ When other applicable laws and regulations are violated

5. The 'Site' can process, sell, publish, etc. using the posts registered by 'Member's.'

Chapter 5 Information Provision

Article 15 (Information Provision)

The 'Site' may transmit the necessary information or advertisement to 'Member' by e-mail or letter mail. If 'Member' dose not want this, the 'Member' can refuse the information from the subscription application menu and the member information modification menu. However, we may send a notice mail of the 'Site' of Article 13 (5) to the member who has refused to receive the information.

Chapter 6 Exemption from Responsibility and Indemnification

Article 16 (Responsibility)

1. The 'Site' shall not be liable for any damages incurred to the 'Member' in connection with the use of the 'Service' unless there is intent or gross negligence of the 'Site'.

2. The 'Site' does not endorse or warrant the appropriateness, accuracy, timeliness, credibility of information, products, services, software, graphics, voice and video related to the use of the 'Service'.

Article 17 (Exemption from Responsibility)

'NILE' will not be held responsible for any problems occurred to 'Member if disruption of service is due to natural disasters or unavoidable circumstances.

Article 18 (Competent Court)

The court shall be the court having jurisdiction over the location of the "NILE" or the court under the civil procedure law of the Republic of Korea.

The laws of the Republic of Korea shall apply to the interpretation and application of these Terms and the settlement of any dispute relating to these Terms and Conditions.

Principles and Learning of Multimodal AI Ongoing Certificate

#중앙대 #멀티모달 #인공지능 #AI #LLM
Principles and Learning of Multimodal AI
- Field Engineering (Computers & Communication)
  
  Operating Institute Operating Institute CHUNG-ANG UNIVERSITY Go to the operating agency Opens new window
  
  Week Week 7 Week
  
  Course Registration Period Course Registration Period 26.05.18 ~ 26.12.31
  
  Phone Number Phone Number 02-820-6427
  
  Course Satisfaction 4.5
- Difficulty Difficulty -
  
  Certificate Certificate Issuance
  
  Learning recognition time Learning recognition time 4Hour 00Minute (03Hour 55Minute)
  
  Course Duration Course Duration 26.05.18 ~ 26.12.31
  
  Subtitle language 한국어 Others 1ea Subtitle language
  
  Course language 한국어(ko)
Registration of courses of interest

List of participating institutions

Course Introduction

강좌소개

이 강좌는 멀티모달 AI에 대한 포괄적인 개요를 제공하며, 데이터 표현, 정렬, 융합의 기본 개념을 다루고, 현대적인 사전 학습 전략과 멀티모달 대규모 언어 모델(M-LLMs) 및 파운데이션 모델의 아키텍처, 훈련, 응용으로 나아갑니다.
왜 「멀티모달 인공지능 이해와 학습」을 수강해야하는가?
우리가 마주하는 현실 세계는 텍스트, 이미지, 소리 등 단편적인 정보의 합이 아닌, 복잡하게 상호 연결된 다양한 정보의 총체입니다. 인공지능이 이 세계를 인간처럼 깊이 있게 이해하고 소통하기 위해서는, 이질적인 데이터들을 통합적으로 바라보는 새로운 시각이 반드시 필요합니다. 이 강좌는 바로 그 핵심 질문, 즉 ＇AI는 어떻게 여러 감각을 동시에 이해할 수 있는가?＇에서 출발합니다. 본 강좌는 서로 다른 데이터를 어떻게 ＇표현(Representation)＇하고 , ＇정렬(Alignment)＇하며 , ＇융합(Fusion)＇할 것인지에 대한 근본적인 개념을 다룹니다. 나아가 현시대 AI의 정점인 ＇멀티모달 대규모 언어 모델(M-LLMs) 및 파운데이션 모델＇의 아키텍처와 훈련, 응용으로 나아가는 지적 탐구의 기회를 제공하는데 그 의의가 있습니다.
「멀티모달 인공지능 이해와 학습」의 목표는 무엇인가?
본 강좌의 목표는 멀티모달 인공지능이라는 방대한 분야에 대한 포괄적인 개요를 제공하는 것입니다.수강생은 '멀티모달 머신러닝의 정의, 핵심 기술적 과제, 역사적 발전'과 같은 기본 개념을 이해하고 , '데이터 표현, 정렬, 융합'이라는 세 가지 핵심 기둥을 학습합니다. 또한 이미지(CNN)와 텍스트(RNN) 등 개별 모달리티를 처리하는 기본 아키텍처의 원리를 파악합니다. 이러한 탄탄한 기초를 배운 후에 ＇현대적인 사전 학습 전략＇을 배우고, 궁극적으로 ＇M-LLMs 및 파운데이션 모델＇의 작동 원리와 응용까지 체계적으로 나아가는 것이 본 강좌의 최종 목표입니다.

학습목표

멀티모달 인공지능의 핵심 개념과 작동 원리를 이해하고, 다양한 모달리티(텍스트, 이미지, 오디오, 비디오 등)를 융합하는 모델의 설계와 구현에 대한 통찰을 제공합니다.
멀티모달 아키텍쳐, Multimodal Pretraining, Cross-modal Alignment, Contrastive Learning 등 최신 기술을 학습하고, 이를 실제 응용 문제에 적용하는 방법을 익힙니다.
학습자가 멀티모달 인공지능 분야의 최신 연구 동향과 산업적 흐름을 이해하고, 이를 기반으로 창의적 문제 해결과 연구, 산업적 기여를 도모할 수 있는 기회를 제공합니다.

강좌 운영일정

수강신청기간 : ~2026.12.31.
강좌운영기간 : ~2026.12.31.

이수 및 평가기준

이수기준 : 60%의 이수기준은 블룸의 교육목표 분류에서 “이해”와 “적용” 단계 해당한다고 판단하며 이는 학습자가 개념을 이해하고 기본적으로 적용할 수 있는 수준에 판단됨
평가기준 : 총점(100%) = 퀴즈(25%) + 토론(25%) + 기말고사(50%)

Syllabus

주차	주차명(주제)	차시	차시명(학습내용)	평가방법
1	멀티모달 인공지능 소개	1-1	멀티모달 인공지능이란 무엇인가?	퀴즈(1)
			멀티모달 인공지능의 정의, 핵심 개념, 주요 용어들을 소개하고 단일모달 AI와의 차이를 이해한다.
		1-2	멀티모달 학습의 필요성과 응용 사례	퀴즈(2)
			멀티모달 학습이 필요한 이유를 설명하고, 실제로 사용되는 응용 분야(예: 자율주행, 챗봇, 의료 AI 등)를 분석한다.
		1-3	멀티모달 AI 기술의 발전 흐름	퀴즈(3)
			멀티모달 AI의 발전 역사와 기술 흐름을 정리하고, 현재 주목받는 연구 분야와 산업 동향을 탐구한다.
2	멀티모달 데이터 표현	2-1	각 모달리티의 데이터 특성과 구조	퀴즈(1)
			텍스트, 이미지, 오디오, 비디오 등 주요 모달리티의 데이터 특성과 구조적 차이점을 분석한다.
		2-2	모달리티별 표현 방법: 임베딩 기초	퀴즈(2)
			각 모달리티를 벡터 공간으로 표현하는 기본 임베딩 기법(e.g., Word2Vec, CNN, spectrogram 등)을 학습한다.
		2-3	멀티모달 임베딩의 개념과 활용	퀴즈(3)
			여러 모달리티를 공통 표현 공간에 매핑하는 멀티모달 임베딩의 목적, 방법론, 활용 사례를 살펴본다.
3	모달리티 간 정렬 방법론	3-1	모달리티 정렬의 개념과 Late/Early Fusion	퀴즈(1)
			Early fusion, late fusion, hybrid fusion의 개념을 이해하고 각각의 장단점을 비교한다.
		3-2	Cross-modal Attention과 정렬 기법	퀴즈(2)
			텍스트-이미지, 텍스트-오디오 등에서 활용되는 attention 기반의 정렬 방법(cross-attention 등)을 학습한다.
		3-3	유사도 학습과 Feature Alignment	퀴즈(3) 토론(1)
			contrastive learning, metric learning을 활용한 의미 기반 feature 정렬 기법을 학습하고 실제 모델 사례를 분석한다.
4	멀티모달 융합 방법론	4-1	기초 융합 전략 이해	퀴즈(1)
			Concatenation, averaging, attention 등 기본 융합 기법의 구조와 작동 원리를 학습한다.
		4-2	고급 융합 기법	퀴즈(2)
			Co-attention, bilinear pooling, tensor fusion 등 고급 융합 모델의 설계와 원리를 이해한다.
		4-3	융합 기법 비교 및 응용 분석	퀴즈(3)
			다양한 융합 기법들의 장단점을 비교하고, 실제 응용 사례에 적합한 전략을 도출한다.
5	멀티모달 사전학습	5-1	멀티모달 사전학습 개요	퀴즈(1)
			멀티모달 pretraining의 필요성과 전이학습 관점에서의 의의를 학습한다.
		5-2	Contrastive learning 기반 사전학습	퀴즈(2)
			CLIP, ALIGN 등의 contrastive 학습 모델 구조와 학습 방식을 분석한다.
		5-3	Masked/Matching 기반 사전학습	퀴즈(3)
			VilBERT, LXMERT 등의 masked modeling, matching task 기반 전략을 학습한다.
6	멀티모달 LLM 및 Foundation Models	6-1	멀티모달 LLM의 구조	퀴즈(1)
			Flamingo, GPT-4V 등 멀티모달 대형 언어 모델의 입력 처리 구조와 특징을 학습한다.
		6-2	Pretraining과 Instruction Tuning	퀴즈(2)
			Instruction tuning과 aligned fine-tuning 기법을 사례 기반으로 학습한다.
		6-3	Foundation Model의 확장 방향	퀴즈(3) 토론(1)
			멀티모달 Foundation Model의 범용성과 미래 활용 가능성을 분석한다.
7	기말고사	7	기말고사 시험 실시

Course Operators

중앙대학교 AI학과 김준영 교수는 KAIST 전기및전자공학부에서 학사, 석사, 박사 학위를 취득 후, Microsoft Research Asia의 NLP group 및 KAIST 정보전자연구소에서 박사후 과정을 거쳐 중앙대학교 AI학과에서 멀티모달 인공지능 연구를 활발히 수행중입니다.
Email: wlsrnjs905@cau.ac.kr
현 소속: 중앙대학교 일반대학원 AI학과
Email: hyeondong@cau.ac.kr
현 소속: 중앙대학교 일반대학원 AI학과

Field Engineering (Computers & Communication)

Difficulty Difficulty -

Operating Institute CHUNG-ANG UNIVERSITY Go to the operating agencyOpens new window

Certificate Certificate Issuance

Week Week 7 Week

Learning recognition time Learning recognition time 4Hour 00Minute (03Hour 55Minute)

Course Registration Period Course Registration Period 26.05.18 ~ 26.12.31

Course Duration Course Duration 26.05.18 ~ 26.12.31

Phone Number Phone Number 02-820-6427

Subtitle language 한국어 Others 1ea Subtitle language

Course language 한국어(ko)

Registration of courses of interest

하위메뉴