Tech is a broad field, and there are a lot of interesting directions you can go in. In this article, we’ll look at the various areas of tech, how much demand exists for each skill, and where to go to start your learning journey.

• 1. React Native (mobile) – React Native is an open-source framework that allows you to build a mobile app with only JavaScript.
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• 2. Amazon AWS – Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services.
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• 3. Django – Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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• 4. Machine learning –  Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions,
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• 5. Angular – AngularJS is a JavaScript-based open-source front-end web framework mainly maintained by Google and by a community of individuals and corporations to address many of the challenges encountered in developing single-page applications.
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•  6. Python – is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace.
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• 7. Artificial Intelligence – Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence.
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• 8. UI/UX Design – UX design refers to user experience design, while UI design stands for user interface design. Both of these are crucial to an IT product and need to work closely.
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• 9. IoT – Internet of Things – The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
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• 10. Data Science & Analytics – Data Analytics. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources.