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.
提供：
IBM
このコースについて
165,420 最近の表示
学習内容
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
習得するスキル
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
シラバス - 本コースの学習内容
週
12時間で修了
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件のビデオ （合計44分）, 3 readings, 1 quiz
10件のビデオ
What is AI?3 分
Introducing AI3 分
Optional: Tanmay’s journey and take on AI5 分
Impact and Examples of AI3 分
Application Domains for AI5 分
Some Applications of AI5 分
More Applications of AI3 分
Famous applications of AI from IBM5 分
3件の学習用教材
Who should take this course?2 分
Lesson Summary10 分
Lesson Summary10 分
1の練習問題
Graded: What is AI? Applications and Examples of AI20 分
週
22時間で修了
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件のビデオ （合計34分）, 5 readings, 1 quiz
9件のビデオ
Machine Learning Techniques and Training4 分
Deep Learning2 分
Neural Networks3 分
Key Fields of Application in AI4 分
Natural Language Processing, Speech, Computer Vision4 分
Self Driving Cars4 分
5件の学習用教材
Lesson Summary10 分
Hands On Lab: Paint with AI20 分
Lesson Summary10 分
Hands On Lab: Computer Vision20 分
Lesson Summary10 分
1の練習問題
Graded: AI Concepts, Terminology, and Application Areas20 分
週
32時間で修了
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件のビデオ （合計25分）, 4 readings, 2 quizzes
4件の学習用教材
Hands On Lab: Mitigating Bias20 分
How AI Protects Us15 分
Principles for ethical AI10 分
Lesson Summary10 分
2の練習問題
Review Questions for Readings (Not Graded)18 分
Graded: AI Issues, Ethics and Bias20 分
週
43時間で修了
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件のビデオ （合計26分）, 7 readings, 2 quizzes
6件のビデオ
Hotbeds of AI Innovation3 分
Tanmay’s Advice to Learn AI3 分
Polong’s Advice for a Job in AI4 分
7件の学習用教材
What’s next for AI?15 分
What will our society look like when AI is everywhere?10 分
Lesson Summary10 分
Lesson Summary5 分
Exercise: Identifying objects in images with IBM Watson5 分
Hands on Lab: Classify your images with AI!30 分
Conclusion and Next Steps10 分
1の練習問題
Final Assignment Part One15 分
4.7
42件のレビューIntroduction to Artificial Intelligence (AI) からの人気レビュー
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.
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.
講師
Rav Ahuja
AI and Data Science Program DirectorIBM
IBMについて
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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