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The online master's degree in AI program combines theoretical principles with practical expertise in Artificial Intelligence that can be applied to real-world systems and processes. Online courses go thoroughly into fields of AI such as robotics, natural language processing, data science, image processing, and more.
Below is the list of Online Master's Degree courses in various fields that will help in making your career in your desired field.
This online MSc in Artificial Intelligence is excellent if you are driven by the difficulties and endless potential of AI advancement. This Artificial Intelligence Master's course combines data science and robotics with the more technical aspects of programming and machine learning to provide the skills you need to put AI into practice.
Artificial intelligence jobs are in great demand and are expected to rise. With a Johns Hopkins University online master's degree in Artificial Intelligence, you can address this need while also advancing your career. Start here to define your career as an artificial intelligence engineer, with subjects ranging from machine learning and natural language processing to expert systems and robotics.
This MSc curriculum is designed for students who have completed an undergraduate degree in any of the following subjects: Engineering, Mathematics, Electrical Engineering and Computer Science, Electronics, or Physics and desire to pursue a career in this fascinating and developing field. This MSc in Robotics, Automation, and Artificial Intelligence will give you extensive training and a thorough grasp of the principles of Automation, Robotics, and Artificial Intelligence, allowing you to further your career in research or industry.
AI has quickly grown to be a medium-sized industry in the UK economy, with the potential to contribute to the expansion of other industries. This course will attempt to increase your knowledge and expertise in a variety of topics such as knowledge representation and reasoning, machine learning, autonomous systems, data mining, and robotics.
The machine-learning modules in this degree program encompass both theory and practice, addressing a wide range of machine-learning approaches in classification, regression, and unsupervised learning situations. We also have machine learning competitions in several courses, where students address research challenges. The robotics courses teach you how to function in the physical world, and these two domains employ various sensor approaches – cameras, acceleration sensors, and even audio – to perceive the surroundings and help in robot control.
The machine-learning modules in this degree program encompass both theory and practice, addressing a wide range of machine-learning approaches in classification, regression, and unsupervised learning situations. We also have machine learning competitions in several courses, where students address research challenges. The robotics courses teach you how to function in the physical world, and these two domains employ various sensor approaches – cameras, acceleration sensors, and even audio – to perceive the surroundings and help in robot control.
This course will help you further your career in a rapidly growing field of engineering. It combines sophisticated theory with technical abilities to teach you how to create fully functioning robots and autonomous systems.
Throughout the entire value chain, you will investigate autonomous systems technologies, robotics engineering, software, processes, and products. You'll also study computational intelligence, embedded systems, machine learning, and sensors.
