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Swiss Federal Institute of Technology Lausanne via Coursera
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Smart Cities – Management of Smart Urban Infrastructures

The world is experiencing a technological revolution and we are accepting this change wholeheartedly. Over the past few years, information and communication technologies have altered the traditional ways and landscape of the urban infrastructure. With the change in the living style, there is a sudden urge by public authorities, and private sectors to change the cities to smart cities. The course Smart Cities – Management of Smart Urban Infrastructures is an initiative by Coursera for the people who wish to work in the management sector of smart technologies that are being embedded in the cities’ legacy infrastructure. 

Smart Cities – Management of Smart Urban Infrastructures training will be provided by the experts of EPFL online mode. The course shall benefit the people working in the information and communication technologies sector by providing them with information on new technologies. This is an online, self-paced course of 5 weeks that offers flexible deadlines to the learners and training by the experts for the complete development of the candidates. The enrolled candidates will also receive Smart Cities – Management of Smart Urban Infrastructures certification by Coursera at the end of the course. 

Also Read: Smart Cities Urban Planning and Management

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Autonomous Navigation

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Autonomous Navigation

The ‘Autonomous Navigation’ online programme is offered by the International School of Engineering (INSOFE) to the students who are interested in learning about the algorithms associated with the mapping and motion planning of autonomous vehicles. The online course is scheduled for the candidates to learn for free through the ten online sessions. The students are expected to spend three to five hours every week apart from the online sessions for the online programme.

The course instructor for this online training is Dr Parag Mantri, who is a principal data scientist and an associate professor at the International School of Engineering. The professional guidance in this course will help the learners gain an understanding of perception, navigation, path planning, technologies for control and algorithms. The candidates will get an opportunity to know about the concepts of software and mathematics that enable autonomous navigation in self-driven vehicles and develop techniques and strategies for the field.

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Skills Covered:
Knowledge of deep learning Machine learning Automation skills Mapping skills Robotic skills Knowledge of Algorithms Mathematical skill Knowledge of engineering Mechanical knowledge Knowledge of Artificial Intelligence

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