GenAI for Product R&D Teams
Learn to integrate Generative AI into product research and development processes. Master tools and techniques for enhanced innovation and efficiency.
Learn to integrate Generative AI into product research and development processes. Master tools and techniques for enhanced innovation and efficiency.
This comprehensive course introduces product R&D professionals to the transformative potential of Generative AI in product development. Designed for R&D managers, team leads, and developers, the course explores how GenAI can accelerate innovation, enhance creative processes, and optimize development strategies. Through practical demonstrations and hands-on exercises, participants learn to identify and implement key GenAI tools, streamline R&D processes, and navigate ethical considerations. The curriculum focuses on real-world applications, empowering teams to leverage GenAI for improved collaboration, decision-making, and product innovation.
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What you'll learn
Understand the basics of GenAI and its impact on product R&D
Identify key GenAI tools for product development processes
Explore innovative strategies for R&D lifecycle integration
Enhance team collaboration and communication
Streamline project management with GenAI tools
Drive product innovation through AI-powered solutions
Skills you'll gain
This course includes:
40 Minutes PreRecorded video
1 assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This introductory course explores the innovative integration of Generative AI within product research and development processes. The curriculum covers foundational GenAI concepts, tools, and methodologies that can enhance R&D efficiency and creativity. Students learn to apply GenAI technologies in practical scenarios, understand ethical considerations, and develop strategies for implementing GenAI solutions in their R&D workflows. The course emphasizes hands-on learning through demonstrations, case studies, and collaborative exercises.
GenAI for Product R&D Teams
Module 1 · 2 Hours to complete
Fee Structure
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Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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