This course focuses on understanding and processing human language using AI techniques. Topics may include sentiment analysis, machine translation, and chatbot development.
While not always mandatory, a bachelor's or master's degree in computer science, mathematics, statistics, or a related field can provide you with a solid academic background and help you gain knowledge in algorithms
Computer Vision courses delve into the area of AI that enables machines to interpret and make decisions based on visual data. Students may learn about image recognition, object detection, and facial recognition technologies.
Reinforcement Learning is a subset of machine learning where an agent learns to make decisions by interacting with its environment.
Deep learning is a subfield of machine learning that focuses on neural networks with multiple layers (deep neural networks).
This course explores the application of AI in the healthcare industry. Topics may include medical image analysis, predictive analytics for patient outcomes, and the development of AI-driven diagnostic tools.
With the increasing impact of AI on society, courses in AI ethics and responsible AI address the ethical considerations, biases, and societal impacts associated with AI technologies.
Courses in robotics and autonomous systems cover the integration of AI into robotic systems, allowing them to operate autonomously. Topics may include robot perception, planning, and control