Global Certificate AI-Powered Social Robotics

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The Global Certificate in AI-Powered Social Robotics is a comprehensive course that addresses the growing demand for professionals skilled in social robotics. With the rise of artificial intelligence (AI), there is an increasing need for robots that can interact socially with humans in various settings such as healthcare, education, and entertainment.

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This course equips learners with essential skills in AI, machine learning, robotics, and social intelligence. It covers topics including robot design, human-robot interaction, and ethical considerations in AI. By completing this course, learners will gain a competitive edge in the job market, with opportunities in AI research, robotics engineering, and related fields. According to the World Economic Forum, the robotics industry is expected to create over 12 million jobs by 2025. This course provides learners with the knowledge and skills necessary to take advantage of these opportunities and advance their careers in this exciting and rapidly growing field.

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โ€ข Unit 1: Introduction to AI-Powered Social Robotics
โ€ข Unit 2: Fundamentals of Artificial Intelligence
โ€ข Unit 3: Social Robotics: Design and Implementation
โ€ข Unit 4: Natural Language Processing (NLP) and Understanding (NLU)
โ€ข Unit 5: Computer Vision and Image Processing
โ€ข Unit 6: Machine Learning and Deep Learning Algorithms
โ€ข Unit 7: Human-Robot Interaction (HRI) and Ethics
โ€ข Unit 8: AI-Powered Robotics in Real-World Applications
โ€ข Unit 9: Robotics Software Development and Integration
โ€ข Unit 10: Capstone Project: Designing an AI-Powered Social Robot

่Œไธš้“่ทฏ

The **Global Certificate AI-Powered Social Robotics** program prepares professionals to excel in the rapidly growing field of AI and social robotics. This section highlights the thriving job market trends in the UK using an engaging 3D pie chart. The chart below illustrates the percentage of roles and their respective demand in the industry. - **AI Engineer**: With a 30% share, AI Engineers design, develop and implement AI models and algorithms. - **Robotics Engineer**: Holding 25%, Robotics Engineers focus on creating and maintaining robotic systems. - **Data Scientist**: At 20%, Data Scientists analyze and interpret complex datasets to drive decision-making. - **Machine Learning Engineer**: With 15%, Machine Learning Engineers specialize in designing self-learning algorithms. - **Software Developer**: Completing the list, Software Developers (10%) create, test, and maintain software systems. The UK job market eagerly awaits experts in AI-powered social robotics. This chart emphasizes the growing significance of these roles, encouraging professionals to upgrade their skills and pursue a rewarding career in this field.

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GLOBAL CERTIFICATE AI-POWERED SOCIAL ROBOTICS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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