AI Concepts
Learn the foundational concepts of Artificial Intelligence. Understand and discuss terms like machine learning, deep learning, and neural networks. Become familiar with fields of applications in AI including NLP, speech recognition, computer vision, and self-driving cars. This course is perfect for everyone including professionals, managers, executives and students.
4.6 (2k+ Reviews)

Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 8.44K
Skills You Will Learn
- Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Self-Driving Cars
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- April 30, 2025
Delve into the fundamental concepts of AI and understand how it enables machines to learn, reason, and make intelligent decisions. Explore the key terminologies associated with AI, including Machine Learning, Deep Learning, Neural Networks, and more. Gain insights into the underlying principles that drive these technologies and their practical applications.
Course Syllabus
- Terminology and Related Concepts
- Machine Learning
- Machine Learning Techniques and Training
- Deep Learning
- Neural Networks
- Summary
- Key Fields of Application in AI
- Natural Language Processing, Speech, Computer Vision
- Self Driving Cars
- Summary
General Information
Recommended Skills Prior to Taking this Course

Language
- English
Topic
- Artificial Intelligence
Enrollment Count
- 8.44K
Skills You Will Learn
- Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Self-Driving Cars
Offered By
- IBMSkillsNetwork
Estimated Effort
- 1 hour
Platform
- SkillsNetwork
Last Update
- April 30, 2025
Instructors
Rav Ahuja
Global Program Director, IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.
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