By the end of this course, learners will be able to explain core Generative AI concepts, analyze data-driven R&D workflows, apply AI tools for prototyping and innovation, and evaluate the role of emerging technologies and collaborative ecosystems in accelerating research and development.
Analyze and Apply Generative AI in Research & Development
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain core Generative AI concepts and their impact on modern R&D workflows.
Apply AI tools for data-driven research, prototyping, and innovation acceleration.
Evaluate emerging technologies and collaborative ecosystems shaping future R&D.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
6 assignments
Taught in English
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There are 2 modules in this course
This module introduces the core concepts of Generative AI and its transformative role in research and development, focusing on how AI augments human intelligence, enables data-driven decision-making, and supports scalable innovation across industries.
What's included
4 videos3 assignments
This module explores advanced applications of Generative AI in rapid prototyping, emerging technologies such as quantum computing, and collaborative innovation models that accelerate product development and future-ready research ecosystems.
What's included
4 videos3 assignments
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