AI is defined as the development of computer systems capable of performing tasks that typically require human intelligence. In other words, AI enables computers to think and behave more like people to solve problems. Whereas machine learning is a method of analyzing data that helps computer programs optimize their functionality as they learn from vast quantities of data. Machine learning is a specific form of AI that enables computers to learn and grow as they’re introduced to data-based scenarios.

If you’re looking for a solid, secure future, a career as a machine learning engineer is the right one. In fact, it was just listed as the second-most in-demand AI profession, with the pandemic bringing a greater focus on the fields of artificial intelligence and machine learning. Over the past four years, employment in AI and machine learning has increased by approximately 75%, and this growth is expected to continue. Pursuing a machine learning job is a solid choice for a high-paying career that will be in demand for decades. Industries that are already using AI and machine learning predominantly include healthcare, education, marketing, retail and ecommerce, and financial services. A career in machine learning is for you if you want to work on projects that change the world while earning a high salary and benefits.

Why Study AI/ML at RIT?

The interesting, difficult, and expanding area of artificial intelligence and machine learning has a huge influence on daily life and society worldwide. The Department of AIML at RIT will examine both the theory and application of AI and ML, and classes are instructed by knowledgeable academics who are also engaged in ongoing research. Project-based learning, active learning, and significant hands-on experience will all be given more importance. At RIT, you may use a variety of facilities for learning and doing research.

The most popular topic and probably the most desirable field in both industry and academia right now is artificial intelligence and machine learning. The majority of IT businesses, including Microsoft, Google, Amazon, Tesla, and NVIDIA, have incorporated this idea into their operating systems. An area of computer science that is rapidly expanding focuses on developing and offering intelligent problem-solving solutions is artificial intelligence software, which is produced by the top artificial intelligence businesses. Speech recognition, problem-solving, learning, and planning capabilities of AI software can support or even take the place of human involvement in a process.

In general, the following are the various reasons why every student should learn AIML:

• Bright Career Opportunities and Growth.
• Average Salary Hike.
• Reputed Core Hiring Companies: Amazon, Microsoft, Google, Nokia to name a few core companies.
• Artificial Intelligence is Versatile.
• The Next Digital Frontier.
• The skill of the Century.
• Processes Huge Amounts of Data.
• Potential Impact on the Society.
• Better User Experience.
• Deals with Real-world Applications such as Recommender Systems, Prediction, Recognition, Autonomous Vehicles, Robotics, so forth.

Career path you can choose after the course

• Machine Learning Engineer 
• Data Scientist 
• Artificial Intelligence Engineer 
• Data Analyst 
• Machine Learning Architect 

Types of companies with career opportunities

• Amazon
• Apple
• Google
• Facebook
• DJI
• Anki
• Clarifai
• Deepmind