Introduction to Artificial Intelligence (AI)
Master AI fundamentals, from machine learning to generative AI. Perfect beginner's guide to AI concepts and applications.
Master AI fundamentals, from machine learning to generative AI. Perfect beginner's guide to AI concepts and applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Foundations for Business Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(14,353 ratings)
4,24,775 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Understand core AI concepts and terminology
Explore generative AI and its business applications
Learn about AI's impact on careers and industries
Examine AI ethics and governance
Discover practical AI use cases and tools
Skills you'll gain
This course includes:
3.7 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course introduces the fundamentals of artificial intelligence, covering key concepts from traditional AI to cutting-edge generative AI. Students learn about machine learning, neural networks, and deep learning, while exploring practical applications across various industries. The curriculum includes hands-on labs and examines AI's impact on business transformation, career opportunities, and ethical considerations. Special emphasis is placed on generative AI, large language models, and responsible AI implementation.
Introduction and Applications of AI
Module 1 · 3 Hours to complete
AI Concepts, Terminology, and Application Domains
Module 2 · 2 Hours to complete
Business and Career Transformation Through AI
Module 3 · 3 Hours to complete
Issues, Concerns, and Ethical Considerations
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
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4.7 course rating
14,353 ratings
Frequently asked questions
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