About this course
Artificial intelligence and machine learning are the part of computer engineering that correlated with each other. These two technologies are the most trending technologies, which used to create intelligent systems.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
The main purpose of this course is to provide the most fundamental knowledge to the students so that they can understand what the AI is Artificial intelligence (AI) is and how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously.
Students will learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.”
Artificial Intelligence (AI) is estimated to pave way for close to 2.3 million opportunities in next three years. Vacancies in the realm of artificial intelligence has doubled over the last two years. Although, the areas where artificial intelligence has been used extensively are Speech recognition, Natural language processing, Image recognition, Stock trading and Robotics, Following are some job roles those are in great demand and will remain so in upcoming years.
· AI Analyst and Developer
· Data Scientist
· Machine Learning Engineer
· Research Scientist
· Business Intelligence Developer
· Data Analyst
· Production Manager
· Software Architect
Xth or Equivalent