The best technologies to learn in IT industry 2023
Artificial Intelligence (AI) and Machine Learning (ML):
AI and ML are the technologies that enable computers to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. AI and ML are being used in various domains, such as healthcare, finance, retail, manufacturing, and transportation, to improve efficiency and quality of services. According to a report by Gartner, AI is expected to create 2.3 million jobs by 2023, while eliminating 1.8 million jobs. The average annual salary for AI engineers in the US is over $110K. To learn AI and ML, you need to have a strong background in mathematics, statistics, programming, and data science.
Data science is the process of extracting insights and knowledge from large and complex data sets using various methods, tools, and algorithms. Data science is essential for businesses to make data-driven decisions and optimize their performance. Data science is also closely related to AI and ML, as it provides the data and techniques for training and testing the models. According to a report by IBM, the demand for data scientists will grow by 28% by 2023, with more than 2.7 million job openings. The average annual salary for data scientists in the US is over $120K. To learn data science, you need to have a good understanding of mathematics, statistics, programming, databases, and visualization.
Angular and React:
DevOps is a set of practices that aims to improve the collaboration and communication between software development and IT operations teams. DevOps also involves automating and streamlining the processes of software delivery and deployment using various tools and technologies. DevOps helps to increase the speed, quality, and reliability of software products and services. According to a report by Grand View Research, the global DevOps market size is expected to reach $12.85 billion by 2023, growing at a CAGR of 18.6%. The average annual salary for DevOps engineers in the US is over $90K. To learn DevOps, you need to have a good understanding of the software development life cycle (SDLC), programming languages, cloud computing, automation tools, testing tools, and monitoring tools.
Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software, analytics, and intelligence over the internet. Cloud computing enables users to access scalable, reliable, secure, and cost-effective computing resources on demand. Cloud computing also supports various applications such as AI, ML, data science, web development, mobile development, gaming, etc. According to a report by Gartner, the worldwide public cloud services market is expected to grow by 17% in 2023, reaching $266.4 billion. The average annual salary for cloud computing professionals in the US is over $100K. To learn cloud computing, you need to have a good knowledge of networking, security, virtualization, and cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).