Broadly speaking, AI requires a solid understanding of mathematics, statistics, and computer science. Students with a strong background in these areas can probably learn the basics in just a few months. It has been said that Artificial Intelligence will replace a whopping 40% of manual and manual labor. Market demand for employees with AI skills has doubled in the past 5 to 6 years.
However, there is still a shortage of qualified experts and professionals in this field. In addition, in most companies, AI-related jobs represent between 15% and 20% of all jobs. The development of AI is possible in two different categories: engineering and programming. AI is currently in its growth phase, and pursuing a career in this field right now will ensure a decent wage, as well as promising opportunities for future growth.
To become an expert in machine learning, it's important to expand your experience with programming languages. According to GitHub, these are the 10 most popular machine learning languages for storing data, you can use object storage such as AWS S3 or a data warehouse such as AWS Redshift. Now, if you need to create your own machine learning models and want a fully managed platform that allows you to create, train, and deploy them quickly and easily in a hosted environment ready for production, AWS SageMaker is a great option. The most important technologies that make up AI are machine learning (ML), deep learning, and natural language processing (NLP).
