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Graduate Certificate in AI in Social Robotics

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Graduate Certificate in AI in Social Robotics

Our Graduate Certificate in AI in Social Robotics offers a dynamic exploration of the intersection between artificial intelligence (AI) and robotics, focusing on the development of socially interactive and emotionally intelligent robots. Through this program, students delve into key topics such as machine learning, natural language processing, human-robot interaction, and ethical considerations in robotics. With a practical approach, the course integrates real-world case studies and hands-on projects to provide actionable insights and empower learners to navigate the rapidly evolving landscape of social robotics. Whether you're an aspiring roboticist, AI enthusiast, or industry professional, this program equips you with the knowledge and skills needed to excel in the field of social robotics.

 

Embark on a transformative journey into the world of AI-powered social robotics with our Graduate Certificate program. Throughout this program, students will engage with a comprehensive curriculum that covers essential topics in AI, robotics, and human-computer interaction. Core modules include:

Introduction to Social Robotics: Explore the fundamentals of social robotics, including the history, principles, and applications of socially interactive robots in various domains such as healthcare, education, and entertainment.

Machine Learning for Robotics: Dive into the theory and practice of machine learning algorithms applied to robotics, learning how to train robots to perceive, reason, and act in social environments.

Human-Robot Interaction: Investigate the complexities of human-robot interaction, studying principles of design, communication, and collaboration to develop robots that can effectively interact with and assist humans.

Ethical and Social Implications: Examine the ethical considerations and societal implications of deploying social robots, grappling with questions of privacy, autonomy, and responsibility in AI-driven technologies.

Through a combination of lectures, lab sessions, and project-based learning, students will gain hands-on experience in designing, building, and programming social robots. Our expert faculty members, who are leading researchers and practitioners in the field, provide mentorship and guidance to help students succeed in their academic and professional endeavors. Join us in shaping the future of AI in social robotics and unlock exciting opportunities in this burgeoning field.


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  • Course code:
  • Credits:
  • Diploma
  • Undergraduate
Key facts
100% Online: Study online with the UK’s leading online course provider.
Global programme: Study anytime, anywhere using your laptop, phone or a tablet.
Study material: Comprehensive study material and e-library support available at no additional cost.
Payment plans: Interest free monthly, quarterly and half yearly payment plans available for all courses.
Duration
1 month (Fast-track mode)
2 months (Standard mode)
Assessment
The assessment is done via submission of assignment. There are no written exams.

Course Details

Our Graduate Certificate in AI in Social Robotics is a comprehensive program designed to provide students with a deep understanding of the intersection between artificial intelligence and robotics, with a focus on social interaction and human-robot collaboration. The curriculum is structured to cover essential topics and practical skills necessary for success in the field. Key highlights of the course include:

  1. Introduction to Social Robotics: Explore the history, principles, and applications of social robotics in various domains.

  2. Machine Learning for Robotics: Dive into machine learning algorithms and techniques applied to robotics, including reinforcement learning, deep learning, and computer vision.

  3. Human-Robot Interaction: Study the principles of human-robot interaction, including design considerations, communication modalities, and user-centered design principles.

  4. Robotics Ethics and Society: Examine the ethical implications of deploying social robots in society, addressing issues such as privacy, bias, and autonomy.

  5. Practical Projects and Case Studies: Apply your learning to real-world projects and case studies, gaining hands-on experience in designing, building, and programming social robots.

  6. Expert Faculty and Industry Connections: Learn from leading experts and practitioners in the field of social robotics, with opportunities for networking and collaboration with industry partners.

By the end of the program, students will emerge with a solid foundation in AI, robotics, and human-robot interaction, ready to tackle the challenges and opportunities in this exciting and rapidly evolving field.

Fee Structure

The fee for the programme is as follows

  • 1 month (Fast-track mode) - £140
  • 2 months (Standard mode) - £90

Payment plans

Please find below available fee payment plans:

1 month (Fast-track mode) - £140

2 months (Standard mode) - £90

Accreditation

Stanmore School of Business