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.
от партнера
IBM
Об этом курсе
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Чему вы научитесь
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
Приобретаемые навыки
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
Учащиеся, которые проходят продукт ''Professional Certificate'
- Technical Writers
- Chief Financial Officers (CFOs)
- Technical Solutions Engineers
- Machine Learning Engineers
- Chief Technology Officers (CTOs)
Программа курса: что вы изучите
Неделя
12 ч. на завершение
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 видео ((всего 44 мин.)), 3 материалов для самостоятельного изучения, 1 тест
10 видео
Introduction to the course1мин
What is AI?3мин
Introducing AI3мин
Optional: Tanmay’s journey and take on AI5мин
Impact and Examples of AI3мин
Application Domains for AI5мин
Some Applications of AI5мин
More Applications of AI3мин
Famous applications of AI from IBM5мин
3 материала для самостоятельного изучения
Who should take this course?2мин
Lesson Summary10мин
Lesson Summary10мин
1 практического упражнения
Graded: What is AI? Applications and Examples of AI20мин
Неделя
22 ч. на завершение
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 видео ((всего 34 мин.)), 5 материалов для самостоятельного изучения, 1 тест
9 видео
Terminology and Related Concepts3мин
Machine Learning4мин
Machine Learning Techniques and Training4мин
Deep Learning2мин
Neural Networks3мин
Key Fields of Application in AI4мин
Natural Language Processing, Speech, Computer Vision4мин
Self Driving Cars4мин
5 материала для самостоятельного изучения
Lesson Summary10мин
Hands On Lab: Paint with AI20мин
Lesson Summary10мин
Hands On Lab: Computer Vision20мин
Lesson Summary10мин
1 практического упражнения
Graded: AI Concepts, Terminology, and Application Areas20мин
Неделя
32 ч. на завершение
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 видео ((всего 25 мин.)), 4 материалов для самостоятельного изучения, 2 тестов
6 видео
AI and Ethical Concerns4мин
AI and Bias2мин
AI: Ethics, Bias, and Trust4мин
Jobs and AI4мин
Employment and AI3мин
4 материала для самостоятельного изучения
[Optional] Hands On Lab: Detect the Bias20мин
AI working for good15мин
Principles for ethical AI10мин
Lesson Summary10мин
2 практического упражнения
Review Questions for Readings (Not Graded)18мин
Graded: AI Issues, Ethics and Bias20мин
Неделя
43 ч. на завершение
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 видео ((всего 26 мин.)), 7 материалов для самостоятельного изучения, 2 тестов
6 видео
Future with AI4мин
Advice for a career in AI5мин
Hotbeds of AI Innovation3мин
Tanmay’s Advice to Learn AI3мин
Polong’s Advice for a Job in AI4мин
7 материала для самостоятельного изучения
What’s next for AI?15мин
What will our society look like when AI is everywhere?10мин
Lesson Summary10мин
Lesson Summary5мин
Exercise: Identifying objects in images with IBM Watson5мин
Hands on Lab: Classify your images with AI!30мин
Conclusion and Next Steps10мин
1 практического упражнения
Final Assignment Part One15мин
Лучшие отзывы о курсе Introduction to Artificial Intelligence (AI)
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.
This course was so interesting. I have actually visioned a little robot i can communicate with. I think I will take this a step further and explore more with AI.
Преподаватели
Rav Ahuja
AI and Data Science Program DirectorIBM
О 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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.
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Записавшись на курс, вы получите доступ ко всем курсам в сертификации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
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