In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
제공자:
IBM이 강좌에 대하여
최근 조회 512,367회
공유 가능한 수료증
완료 시 수료증 획득
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
영어
자막: 영어
배울 내용
Understand what is AI, its applications and use cases and how it is transforming our lives
Explain terms like Machine Learning, Deep Learning and Neural Networks
Describe several issues and ethical concerns surrounding AI
Articulate advice from experts about learning and starting a career in AI
귀하가 습득할 기술
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
공유 가능한 수료증
완료 시 수료증 획득
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
영어
자막: 영어
제공자:
IBM
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 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.
완료하는 데 1시간 필요
8개 동영상 (총 36분), 3 개의 읽기 자료, 1 개의 테스트
8개의 동영상
What is AI?3m
Optional: Tanmay’s journey and take on AI5m
Impact and Examples of AI3m
Optional: Application Domains for AI5m
Some Applications of AI5m
Optional: 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
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.
완료하는 데 2시간 필요
9개 동영상 (총 34분), 5 개의 읽기 자료, 1 개의 테스트
9개의 동영상
Terminology and Related Concepts3m
Machine Learning4m
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
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.
완료하는 데 2시간 필요
6개 동영상 (총 25분), 4 개의 읽기 자료, 2 개의 테스트
6개의 동영상
AI and Ethical Concerns4m
AI and Bias2m
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
4개의 읽기 자료
[Optional] Hands On Lab: Detect the Bias20m
AI working for good15m
Principles for ethical AI10m
Lesson Summary10m
2개 연습문제
Review Questions for Readings (Not Graded)18m
Graded: AI Issues, Ethics and Bias20m
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.
완료하는 데 3시간 필요
7개 동영상 (총 28분), 7 개의 읽기 자료, 2 개의 테스트
7개의 동영상
Future with AI4m
The AI Ladder - The Journey for Adopting AI Successfully2m
Advice for a career in AI5m
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
Introduction to the Hands-on Exercise5m
Hands on Lab: Classify your images with AI!30m
Conclusion and Next Steps10m
1개 연습문제
Final Assignment Part One15m
검토
INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)의 최상위 리뷰
SC 제공2020년 4월 8일
The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level.
VM 제공2020년 6월 22일
Course is satisfactory and creative way of new method of teaching process that helps every one to understand theoretically and provides hands on online lab practice session with various IBM tools.
LG 제공2020년 7월 6일
This course content was wonderful. I have learned more idea of A.I. with the latest applications. I wish to move forward with an A.I. career. Thank you for such an excellent certification course.
SS 제공2020년 5월 1일
This course has helped me understand Artificial intelligence on a broad level. With practical examples, I was able to relate with the concept in a better manner and relate with its application
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
이 수료 과정을 구독하면 무엇을 이용할 수 있나요?
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.
환불 규정은 어떻게 되나요?
구독하는 경우, 취소해도 요금이 청구되지 않는 7일간의 무료 평가판을 이용할 수 있습니다. 해당 기간이 지난 후에는 환불이 되지 않지만, 언제든 구독을 취소할 수 있습니다. 전체 환불 정책 보기.
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