Online Masters in Artificial Intelligence: Courses

This course provides a comprehensive exploration of Enterprise Architecture (EA), focusing on strategic planning and technical research. It equips students with the skills to design, implement, and manage architectures that align an organization’s business strategy, processes, information systems, and technology infrastructure to achieve success.

The CSP Project Management, Systems Development & Risk course offers an integrated study of project management principles, systems development methodologies, and risk management practices within the context of complex global IT projects. This course is designed for students and professionals seeking a comprehensive understanding of how to effectively manage projects, develop robust IT systems, lead diverse multi-disciplined teams and proactively address project risks for successful project delivery.

The CSP Database Systems course offers a comprehensive study of the principles, design methodologies, and practical applications of database management systems to support the enterprise of the future (DBMS). This course is designed for students and professionals interested in understanding the core concepts of database systems and developing the skills to design, implement, and manage databases and datasets for various applications.

The CSP Artificial Intelligence and High-Performance Computing and Ethical Considerations course offers an integrated study of the principles, techniques, ethical considerations and applications of artificial intelligence (AI) in combination with high-performance computing (HPC). This course is designed for students and professionals interested in harnessing the power of advanced computing technologies to develop and deploy AI solutions that can process vast amounts of data and solve complex problems at scale.

The CSP Cloud Architecture and Infrastructure course provides a comprehensive study of cloud computing principles, design methodologies, and best practices for architecting scalable and reliable cloud-based, hybrid, and multi-cloud solutions assisting global organizations design and build the architectures and infrastructures of the future. This course is designed for students and professionals interested in understanding how to design, deploy, and manage cloud infrastructure to meet the demands of modern global enterprises utilizing advanced applications and services.

This course is designed for students seeking an in-depth exploration of the latest advancements in artificial intelligence (AI) applied to computer vision. Building on foundational computer vision concepts, this course delves into state-of-the-art AI techniques, deep learning architectures, and advanced methodologies used in solving complex vision tasks. Through a combination of theoretical understanding, hands-on projects, and cutting-edge research, students will gain the expertise needed to push the boundaries of AI in the realm of computer vision.

Explore the advanced realms of machine learning and LLM’s in this graduate-level course. Delve into the intricacies of the training and development of machine learning and large language models, while gaining a comprehensive understanding of the underlying algorithms, optimization techniques, and cutting-edge methodologies. Through hands-on projects and theoretical exploration, you’ll sharpen your skills in effectively training models, preparing you for the dynamic landscape of machine learning and large language model applications.

This course delves into the ethical considerations, societal implications, and challenges related to the development and deployment of artificial intelligence (AI) systems. Focusing on the intersection of technology and ethics, the course explores the ethical frameworks guiding AI, the impact of bias in AI algorithms, and strategies for responsible and inclusive AI development. Through case studies, discussions, and practical exercises, students will gain a deep understanding of the ethical dimensions of AI and develop the skills to navigate the complex landscape of ethical decision-making in AI applications.

Embark on a profound journey into the world of artificial intelligence with our graduate-level course on deep learning and neural networks. This in-depth exploration will equip you with the knowledge and skills needed to unravel the complexities of neural architectures, optimization strategies, and advanced deep-learning techniques. Engage in hands-on projects and theoretical analyses to master the art of designing, implementing, and fine-tuning neural networks. Elevate your understanding of cutting-edge applications and be at the forefront of innovation in the ever-evolving field of deep learning.

This course offers an in-depth exploration of reinforcement learning, a subfield of artificial intelligence that focuses on how agents learn to make decisions through interaction with an environment. Participants will gain a deep understanding of theoretical concepts, algorithmic approaches, and practical applications of reinforcement learning in various domains. Reinforcement learning is a subfield of machine learning that deals with agents learning to make sequential decisions. This course covers algorithms like Q-learning, policy gradients, and deep reinforcement learning, Advancing with applications in robotics, gaming, and autonomous systems.