Analyze and Apply Generative AI in Research & Development

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. This course provides a comprehensive, practical understanding of how Generative AI is transforming modern R&D across industries. Learners will explore how AI augments human intelligence, accelerates experimentation, and enables faster, more informed decision-making. Through real-world applications such as data-driven research, rapid prototyping, quantum computing integration, and AI-driven innovation hubs, the course bridges foundational knowledge with forward-looking practices. What makes this course unique is its end-to-end R&D perspective—moving beyond theory to show how Generative AI supports the entire innovation lifecycle, from idea generation to collaborative execution. Designed for researchers, product leaders, engineers, and innovation managers, the course emphasizes strategic thinking, scalability, and future readiness. By completing this course, learners gain the skills and confidence to leverage Generative AI as an enabling technology, drive accelerated innovation, and contribute effectively to next-generation research and development initiatives

• 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

• Basic computer and internet skills
• Ability to read course instructions and complete practice activities