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. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
제공자:
IBM
About this Course
최근 조회 172,649회
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
강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 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.
10개 동영상 (총 43분), 3 readings, 1 quiz
10개의 동영상
Introduction to the course1m
What is AI?3m
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
주
2완료하는 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.
9개 동영상 (총 34분), 5 readings, 1 quiz
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
주
3완료하는 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.
6개 동영상 (총 25분), 4 readings, 2 quizzes
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
주
4완료하는 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.
6개 동영상 (총 26분), 7 readings, 2 quizzes
6개의 동영상
Future with AI4m
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
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
225개의 리뷰Introduction to Artificial Intelligence (AI)의 최상위 리뷰
This course is very useful for those who have not aware about the artificial intelligence.\n\nThe course contents are very well organized\n\nHands on training may be improved
This is highly informative, easy to understand.\n\nThe videos make it more interesting.\n\nTests and assignment are good and really test your understanding of the subject.
강사
Rav Ahuja
AI and Data Science Program DirectorIBM
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.
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