AI & Machine Learning
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Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence.
Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. Both of these areas offer promising career opportunities.
Here is the best foundation program in AI and Machine Learning for beginners:
Here are some of the best AI and Machine Learning programs for intermediates:
Here are some of the best advanced-level programs in AI and Machine Learning:
The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of Artificial Intelligence could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI.
Some of the most popular job roles in the field of AI and Machine Learning include:
Professionals and students hoping to become AI Engineers should first start learning the basics of AI, statistical analysis, data modeling, and know at least one programming language such as Python or R. They should then move on to advanced areas like data analysis, data manipulation, Hadoop, and machine learning. Knowledge of deep learning and business intelligence tools like Tableau or Qlikview would further enhance your AI career.
Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, Machine Learning Engineers can earn as high as $150,000 per year.
Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.
Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft.