Generative AI: Introduction and Applications
Master generative AI fundamentals, from LLMs to practical applications across text, image, and code generation.
Master generative AI fundamentals, from LLMs to practical applications across text, image, and code generation.
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 Generative AI Fundamentals 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.
4.6
(997 ratings)
91,656 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand generative AI fundamentals and capabilities
Explore applications across different sectors and industries
Learn to use popular generative AI tools and models
Gain hands-on experience with text and image generation
Discover real-world use cases and implementations
Skills you'll gain
This course includes:
1 Hours PreRecorded video
5 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 3 modules in this course
This comprehensive course introduces the fundamentals of generative AI technology and its practical applications. Students learn about different types of generative models and their capabilities in creating text, images, code, audio, and video. The curriculum covers popular tools like GPT, DALL-E, and Stable Diffusion, with hands-on labs using ChatGPT and IBM's Generative AI Classroom. Special focus is given to real-world applications across various industries and sectors.
Introduction and Capabilities of Generative AI
Module 1 · 1 Hours to complete
Applications and Tools of Generative AI
Module 2 · 3 Hours to complete
Course Quiz, Project, and Wrap-up
Module 3 · 1 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
Testimonials
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4.6 course rating
997 ratings
Frequently asked questions
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