MS in Artificial Intelligence, Chennai

Get a detailed overview of the historical developments, successes, and set-backs in AI and learn to comprehend the brain and cognitive processes from a neuro-scientific point of view in this MS in Artificial Intelligence online program. Also, explore the wide range of potential application areas in Artificial Intelligence, including industry sectors such as autonomous driving and mobility, medicine, finance, retail, and manufacturing.

Modern techniques to analyze data and derive predictions for future events are deeply rooted in mathematical techniques. This MS in Artificial Intelligence helps you build a solid base to understand the concepts behind advanced algorithms used to process, analyze, and predict data and observations, and enables students to follow future research, especially in the fields of data-intensive sciences.

This Online MS in Artificial Intelligence helps you learn to analyze use cases and their requirements to derive value from the project. You will learn to evaluate key performance indicators to assess projects from a business perspective. It also discusses how to avoid common fallacies and understand the implications of introducing data-driven decisions into traditional management structures.

In the current decade, impressive advances have been achieved in the field of artificial intelligence. Several cognitive tasks like object recognition in images and video, natural language processing, game strategy, and autonomous driving and robotics are now being performed by machines at unprecedented levels of ability. This MS in Artificial Intelligence makes you examine and write a seminar paper on some of societal, economic, and political implications of these developments.

Learn the fundamental concepts of statistics and probability distributions and their prevalence in application scenarios. This MS in AI will discuss descriptive techniques to summarize and visualize data effectively and the Bayesian approach to statistics.

Learn to apply the concepts covered in the preceding MS in AI Online course to build a running AI model or system. This MS in Artificial Intelligence helps you transfer acquired theoretical knowledge to real-world case studies.

Python is one of the most versatile and widely used scripting languages. This MS in AI provides a thorough introduction to the language and its main features, as well as insights into the rationale and application of important adjacent concepts such as environments, testing, and version control.

Machine learning is a field of scientific study concerned with algorithmic techniques that enable machines to learn performance on a given task via the discovery of patterns or regularities in exemplary data. This MS in Artificial Intelligence focuses on exploring different machine learning models and analyzing what model to choose.

This MS in Artificial Intelligence focuses on the fundamentals of neural networks and deep learning. It includes a detailed overview of alternative methods to train neural networks and further network architectures that are relevant in a wide range of specialized application scenarios.

This MS in AI elucidates contemporary approaches to computer vision and natural language processing. Explore common use-case scenarios in which NLP and computer vision techniques are applied while analyzing the advantages and drawbacks of various NLP and computer vision algorithms.

For part of your MS in Artificial Intelligence online program, you can choose two electives so you can focus on an area or industry you’re interested in: AI Specialist, Data Engineer, Technical Project Lead, UI/UX Expert, and Privacy and Security.

Statistical inference and causal analysis are crucial tools for analyzing and understanding data on a fundamental level. This MS in AI helps you examine data in terms of statistical inference, create probabilistic models, analyze interventions in statistical systems, and evaluate common fallacies in causal analysis.

Reinforcement learning enables computers to derive problem-solving strategies without being explicitly programmed for the specific task, similar to the way humans and animals learn. This MS in AI discusses reinforcement learning approaches and evaluates the tradeoff between exploitation and exploration.

Learn to build a successful data-based product with the help of agile approaches such as Scrum and Kanban. Learn how DevOps brings software development and operations together into one team.

Explore current AI trends in this course. Learn to independently analyze selected topics and case studies and link them with well-known concepts, while critically questioning and discussing them.

In this Master Thesis, work on a problem from your major field of study by applying the specialized and methodological skills you have acquired during your studies. Analyze selected tasks with scientific methods, critically evaluate them, and develop appropriate solutions under the guidance of an academic supervisor.

For part of your MS in Artificial Intelligence online program, you will choose two electives so you can focus on an area or industry you’re interested in: Advanced Robotics 4.0, Applied Autonomous Driving, Consumer Behaviour and Research, Corporate Finance, DevOps for Data Applications, Innovate and Change Management, Sales, Pricing, and Brand Management.