Postgraduate:
Internet of Things

12 months (can be completed in 6 months).

Distance learning

12x of R$ 99.00

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Course Objective

The Internet of Things course trains professionals capable of defining, analyzing, designing, developing, implementing and deploying projects and systems for the Internet of Things, using new technologies, developing research and seeking new IT solutions for any IoT business segment, enabling students to manage IT projects, using market tools and techniques, to meet any organizational or societal demand and also undertake in this area.

Target audience

The course is aimed at those who wish to work in the technology area and are interested in automation, computing, programming, the Internet, with an interest in developing IoT solutions for industrial automation with a view to quality, safety, sustainability and energy efficiency.

Graduate profile

Master programming and problem-solving techniques;

  • Express ideas clearly, using appropriate communication techniques;
  • Adapt to new technologies; Design and develop Internet applications;
  • Develop applications using different languages and technologies aimed at Web development;
  • Act as a web page designer; Evaluate, design and implement usability and accessibility requirements in the design of web applications;
  • Work with security requirements in web application design;
  • Use databases and the respective technologies employed in the development of Web applications;
  • Perform tests and validate systems considering quality aspects.

Job market

The job market for graduates in the Internet of Things is expanding greatly due to the innovations provided by technology and the internet, with the increasingly constant and rapid search for new technological products in view of human-machine interaction.

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Doctor Adriano Pila

Intense experience in business management in the education sector with proven performance and results. Excellent systemic analysis and logical reasoning skills. PhD in Artificial Intelligence with a focus on Machine Learning and Evolutionary Computing for problem-solving in Data Science. SOFT SKILLS Proactive, strategic, determined, self-confident, versatile, flexible, agile, innovative, results-oriented, takes calculated risks, has a generalist vision without losing sight of the details, follows the processes, has the ability to improvise, has the vision of an owner, strategist and executor. Exercises leadership in a persuasive and friendly manner. HARD SKILLS Evolutionary computing, Artificial intelligence, Fuzzy logic, Machine learning, Probabilistic reasoning, Artificial neural networks, Genetic algorithms, Relational databases and SQL, Object-Oriented Programming, Python (Pandas, Numpy, Scikit-Learning), KPIs, Opex, Capex, BSC.

Lattes CV

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DISCIPLINESCH
STARTUP MANAGEMENT80
INTERNET OF THINGS80
INFORMATION SECURITY80
COMMUNICATION AND COMMUNICATIONS SYSTEMS80
REMOTE SENSING80
DISTRIBUTED SYSTEMS80
CLOUD COMPUTING INFRASTRUCTURE80
TOTAL560