About this Course
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100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

This course is for everyone. No prior backround in computer science or programming is necessary.

완료하는 데 약 8시간 필요

권장: 4 weeks of study, 1-2 hours per week...

영어

자막: 영어

배울 내용

  • Check

    Understand what is AI, its applications and use cases and how it is transforming our lives

  • Check

    Explain terms like Machine Learning, Deep Learning and Neural Networks

  • Check

    Describe several issues and ethical concerns surrounding AI

  • Check

    Articulate advice from experts about learning and starting a career in AI

귀하가 습득할 기술

Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

This course is for everyone. No prior backround in computer science or programming is necessary.

완료하는 데 약 8시간 필요

권장: 4 weeks of study, 1-2 hours per week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

What is AI? Applications and Examples of AI

This week, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.

...
10 videos (Total 44 min), 3 readings, 1 quiz
10개의 동영상
Introducing AI3m
Optional: Tanmay’s journey and take on AI5m
Impact and Examples of AI3m
Application Domains for AI5m
Some Applications of AI5m
More Applications of AI3m
Famous applications of AI from IBM5m
3개의 읽기 자료
Who should take this course?2m
Lesson Summary10m
Lesson Summary10m
1개 연습문제
Graded: What is AI? Applications and Examples of AI20m
2
완료하는 데 2시간 필요

AI Concepts, Terminology, and Application Areas

This week, you will learn about basic AI concepts. You will understand how AI learns, and what some of its applications are.

...
9 videos (Total 34 min), 5 readings, 1 quiz
9개의 동영상
Machine Learning Techniques and Training4m
Deep Learning2m
Neural Networks3m
Key Fields of Application in AI4m
Natural Language Processing, Speech, Computer Vision4m
Self Driving Cars4m
5개의 읽기 자료
Lesson Summary10m
Hands On Lab: Paint with AI20m
Lesson Summary10m
Hands On Lab: Computer Vision20m
Lesson Summary10m
1개 연습문제
Graded: AI Concepts, Terminology, and Application Areas20m
3
완료하는 데 2시간 필요

AI: Issues, Concerns and Ethical Considerations

This week, you will learn about issues and concerns surrounding AI, including - ethical considerations, bias, jobs, etc. - their impact on society. This information will help you to have an informed discussion on the costs and benefits of AI, and reassure decision makers about implementing an AI solution.

...
6 videos (Total 25 min), 4 readings, 2 quizzes
6개의 동영상
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
4개의 읽기 자료
Hands On Lab: Mitigating Bias20m
How AI Protects Us15m
Principles for ethical AI10m
Lesson Summary10m
2개 연습문제
Review Questions for Readings (Not Graded)18m
Graded: AI Issues, Ethics and Bias20m
4
완료하는 데 3시간 필요

The Future with AI, and AI in Action

This week, you will learn about the current thinking on the future with AI, as well as hear from experts about their advice to learn and start a career in AI. You will also demonstrate AI in action by utilizing Computer Vision to classify images.

...
6 videos (Total 26 min), 7 readings, 2 quizzes
6개의 동영상
Hotbeds of AI Innovation3m
Tanmay’s Advice to Learn AI3m
Polong’s Advice for a Job in AI4m
7개의 읽기 자료
What’s next for AI?15m
What will our society look like when AI is everywhere?10m
Lesson Summary10m
Lesson Summary5m
Exercise: Identifying objects in images with IBM Watson5m
Hands on Lab: Classify your images with AI!30m
Conclusion and Next Steps10m
1개 연습문제
Final Assignment Part One15m
4.7
31개의 리뷰Chevron Right

Introduction to Artificial Intelligence (AI)의 최상위 리뷰

대학: PBJun 29th 2019

Best course for foundation of AI and to explore applications of AI. It provided me very clear understanding of ML, AI, Deep Learning and mathematically advanced concepts.

대학: VVJul 3rd 2019

A thorough understanding of basics and how AI is being used in practical world. Hearing from the experts gives comfort and credibility to the subject.

강사

Avatar

Rav Ahuja

AI and Data Science Program Director
IBM

IBM 정보

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 수료 과정의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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