1.What is Artificial Intelligence and Data Science specialization in Engineering?
Artificial Intelligence (AI) and Data Science (DS) is a new branch of study which deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, computing, and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. Artificial Intelligence and data science focuses on collecting, categorizing, strategizing, analyzing, and interpreting data. It is a specialized branch that deals with the development of data-driven solutions, data visualization tools, and techniques to analyze big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems.
2. Who should study Artificial Intelligence and Data science study?
AI and Data Science is the current trend in the business world and is also considered a lucrative career. Artificial Intelligence and Data Science is a suitable course for those desirous of developing various intelligent business solutions. Big data solutions have changed the way in which business models are built and run.
3. What will I study in this course?
In this course, you will learn how to design, create and implement AI and DS-based software solutions to solve actual business problems. This course helps to explore concepts such as AI, Data Analytics, Data visualization, Machine Learning, Deep Learning, semantic web and social network analytics, Blockchain Technologies, and Data Security & Privacy.
4.What are the career opportunities after the completion of this course?/What will I do once I graduate?
AI and DS graduates will be able to design and develop intelligent business applications to solve various industrial problems. They use the latest tools and open source technologies to recommend the required solutions. They can figure out how to evaluate the ethical, legitimate, proficient, and social standards of engineering knowledge and practices. These graduates can also exhibit their domain knowledge in data handling, knowledge extraction, mobile, and distributed application development, intelligence web/e-commerce development, database administration, computer hardware, networking, education and training, and decision support systems using AI and Data Science tools and techniques.