Dive into generative AI: understand core concepts, explore real-world applications, and gain hands-on experience with tools like GPT and DALL-E.
Dive into generative AI: understand core concepts, explore real-world applications, and gain hands-on experience with tools like GPT and DALL-E.
Dive into the world of generative AI with IBM's comprehensive course. Learn to differentiate between generative and discriminative AI while exploring real-world applications across text, image, audio, video, and code generation. Through hands-on labs using IBM Generative AI Classroom and tools like ChatGPT, you'll gain practical experience with cutting-edge AI technologies. The course covers fundamental concepts, industry applications, and popular tools including GPT, DALL-E, Stable Diffusion, and Synthesia. Designed for both professionals and enthusiasts, this course provides essential knowledge for leveraging generative AI in various sectors.
4.4
(80 ratings)
11,050 already enrolled
Instructors:
English
English
What you'll learn
Describe the fundamental concepts and distinctions of generative AI
Explore real-world applications and use cases across different domains
Master common generative AI tools for text, image, and code generation
Understand the economic potential and industry applications of generative AI
Demonstrate practical skills through hands-on labs with popular AI tools
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, quizzes, hands-on labs, discussion prompts
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 3 modules in this course
This comprehensive course introduces learners to generative AI fundamentals and their practical applications. The curriculum covers the distinction between generative and discriminative AI, exploring capabilities across various domains including text, image, audio, and video generation. Through hands-on labs and real-world examples, students learn to use popular AI tools and understand their applications in different industries. The course emphasizes practical skills development through interactive exercises and includes insights from industry practitioners.
Introduction and Capabilities of Generative AI
Module 1
Applications and Tools of Generative AI
Module 2
Course Quiz, Project, and Wrap-up
Module 3
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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