The automatic scheduling or autonomous driving has Artificial Intelligence in common with web search, speech recognition, and machine translation. These are complex real-world problems that span across various engineering practices. The aim of Artificial intelligence (AI) and Machine Learning (ML) is to address these problems with rigorous mathematical tools. The objective of this specialization of Computer Science and Engineering is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem-solving, knowledge representation, reasoning and learning methods in AI. Additionally, with the increased availability of data from varied sources, there has been increasing attention paid to the various data-driven disciplines such as analytics and machine learning. In this Computer Science and Engineering specialization, we intend to introduce some of the basic concepts of machine learning from a mathematically well-motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.
The AI&ML curriculum covers essential topics ranging from foundational mathematics and statistics to advanced machine learning techniques. Students learn regression and classification methods like linear regression and support vector machines, delve into neural networks and reinforcement learning, and explore decision trees, ensemble methods, and clustering algorithms. The program also integrates soft computing and applies AI principles to fields like computer vision, complemented by studies in compiler design, operating systems, computer networks, and software engineering. This holistic approach prepares students to tackle diverse challenges in artificial intelligence and machine learning.
High Demand and Job Opportunities
The AI&ML industry is expanding rapidly, resulting in a significant demand for proficient engineers. This demand guarantees abundant career opportunities across diverse sectors.
Lucrative Salary Packages
AI&ML engineers are highly compensated professionals within the technology industry, with companies offering attractive salary packages and benefits to attract top talent in this field.
Innovative and Impactful Work
AI&ML engineers are involved in pioneering technologies that foster innovation. Their contributions have the potential to bring about significant societal impacts, ranging from advancements in healthcare to the development of smarter cities and enhanced user experiences.
Diverse Career Opportunities
AI&ML skills find application across diverse domains including finance, healthcare, automotive, entertainment, and beyond. This versatility enables engineers to pursue a wide array of career paths spanning various industries.
Continuous Learning and Growth
The AI&ML field is dynamic and continuously evolving, presenting boundless opportunities for learning and career advancement. Engineers in this domain remain engaged by consistently updating their skills and knowledge with the latest advancements and research.
Dr. Savneet Kaur
Mobile : +91-9212799917
Email : savneet@gtbit.org
