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.
Introduction to Artificial Intelligence (AI)
von
IBM
Über diesen Kurs
172,853 kürzliche Aufrufe
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
12 Stunden zum Abschließen
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 (Gesamt 43 min), 3 Lektüren, 1 Quiz
10 Videos
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
3 Lektüren
Who should take this course?2m
Lesson Summary10m
Lesson Summary10m
1 praktische Übung
Graded: What is AI? Applications and Examples of AI20m
Woche
22 Stunden zum Abschließen
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 (Gesamt 34 min), 5 Lektüren, 1 Quiz
9 Videos
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
5 Lektüren
Lesson Summary10m
Hands On Lab: Paint with AI20m
Lesson Summary10m
Hands On Lab: Computer Vision20m
Lesson Summary10m
1 praktische Übung
Graded: AI Concepts, Terminology, and Application Areas20m
Woche
32 Stunden zum Abschließen
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 (Gesamt 25 min), 4 Lektüren, 2 Quiz
6 Videos
AI and Ethical Concerns4m
AI and Bias2m
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
4 Lektüren
[Optional] Hands On Lab: Detect the Bias20m
AI working for good15m
Principles for ethical AI10m
Lesson Summary10m
2 praktische Übungen
Review Questions for Readings (Not Graded)18m
Graded: AI Issues, Ethics and Bias20m
Woche
43 Stunden zum Abschließen
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 (Gesamt 26 min), 7 Lektüren, 2 Quiz
6 Videos
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
7 Lektüren
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
1 praktische Übung
Final Assignment Part One15m
Top-Bewertungen von Introduction to Artificial Intelligence (AI)
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.
Dozent
Rav Ahuja
AI and Data Science Program DirectorIBM
Über 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.
Häufig gestellte Fragen
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Was bekomme ich, wenn ich dieses Zertifikat abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse des Zertifikats und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn-Profil hinzufügen. Wenn Sie lediglich den Inhalt des Kurses lesen und anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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