Top Study options for a career in New Technologies

Computer Science If you are interested in pursuing a career in new technologies, there are a number of study options that can help prepare you for this field. Here are some of the top study options for careers in new technologies

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Cybersecurity Engineer - In recent times when the industry leaders are prone to and witnessing all kinds of data breach issues and threats, other organizations put a keen interest in getting their products and services resistant and foolproof to such potential dangers.

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Machine Learning Engineer - This is one of the core areas of Artificial Intelligence which empowers computers to grow self-aware and to stay in self-learning mode without being explicitly programmed.

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Python Developer - With the rise of AI and machine learning technologies, Python is a language in demand for its flexibility, and ease of learning, and has a large developer community and brevity - making it easy to write great code. According to studies, it has been observed that Python codes can halve the development time.

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Full Stack Developer - Full stack developers complete the entire project—from designing concepts to properly deploying the product—rather than being delegated to separate backend and frontend teams.

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Java Developer - Java dominates the enterprise because of the growing cloud technologies. Java, like Python, is easy to learn as well as faster to write, compile, debug and learn than other programming languages.

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Cloud Engineer - Such a rapidly growing industry would require a high degree of security. This cloud security is a shared responsibility between cloud providers and users who can take advantage of cloud security tools offered by Microsoft and AWS, and it has only increased in 2019

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Scrum Master - In 2019, agile methodologies are all that is gaining popularity among IT enterprises, and these ones like Scrum have contributed to faster market times, greater flexibility, higher quality products and customer satisfaction. In this method the Product Owner creates a wishlist, and the project team can break the list down into smaller pieces, which should result in project deliverables ready to be sent to the customer.

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