IBM - Introduction to Artificial Intelligence (AI)
4.5 /5- Offered byCoursera
- Public/Government Institute
Introduction to Artificial Intelligence (AI) at Coursera Overview
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Student Reviews
Introduction to Artificial Intelligence (AI) at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level This course is for everyone. No prior backround in computer science or programming is necessary.
- Approx. 8 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Introduction to Artificial Intelligence (AI) at Coursera Course details
- 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.
- This course is part of multiple programs
- This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
- IBM AI Foundations for Business Specialization
- Key Technologies for Business Specialization
- IBM Applied AI Professional Certificate
- AI Foundations for Everyone Specialization
Introduction to Artificial Intelligence (AI) at Coursera Curriculum
What is AI? Applications and Examples of AI
Introducing AI
What is AI?
Optional: Tanmay?s journey and take on AI
Impact and Examples of AI
Optional: Application Domains for AI
Some Applications of AI
Optional: More Applications of AI
Famous applications of AI from IBM
Who should take this course?
Lesson Summary
Lesson Summary
Graded: What is AI? Applications and Examples of AI
AI Concepts, Terminology, and Application Areas
Cognitive Computing (Perception, Learning, Reasoning)
Terminology and Related Concepts
Machine Learning
Machine Learning Techniques and Training
Deep Learning
Neural Networks
Key Fields of Application in AI
Natural Language Processing, Speech, Computer Vision
Self Driving Cars
Lesson Summary
Lesson Summary
Lesson Summary
Graded: AI Concepts, Terminology, and Application Areas
AI: Issues, Concerns and Ethical Considerations
Issues and Concerns around AI
AI and Ethical Concerns
AI and Bias
AI: Ethics, Bias, and Trust
Jobs and AI
Employment and AI
AI working for good
Principles for ethical AI
Lesson Summary
Review Questions for Readings (Not Graded)
Graded: AI Issues, Ethics and Bias
The Future with AI, and AI in Action
The evolution and future of AI
Future with AI
The AI Ladder - The Journey for Adopting AI Successfully
Advice for a career in AI
Hotbeds of AI Innovation
Tanmay?s Advice to Learn AI
Polong?s Advice for a Job in AI
What?s next for AI?
What will our society look like when AI is everywhere?
Lesson Summary
Lesson Summary
Conclusion and Next Steps
Final Assignment Part One
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?