Keys Skills
As a part of AI Research Path you’ll be acquiring skills towards research-oriented career in Data Science Machine Learning and Deep Learning
Explore cutting-edge techniques in neural networks, reinforcement learning, natural language processing, computer vision, and predictive analytics. AI and Human-Computer Interaction
Enhance human-AI interactions by focusing on explainable AI, user-centred design, collaboration, user experience, and interface design. AI for Social Good
Address societal challenges through AI, focusing on healthcare, sustainability, education, poverty alleviation, disaster response, and social justice. AI and Robotics
Integrate AI with robotics technologies, exploring autonomous systems, perception, human-robot interaction, and intelligent control. Interdisciplinary AI Research
Foster collaboration between AI and other fields such as biology, medicine, psychology, economics, and social sciences to encourage knowledge exchange. AI Algorithms and Techniques
Advance the field through the development of novel algorithms, optimization techniques, and innovative methodologies to improve AI performance. AI for Sustainable Development
Investigate the role of AI in achieving sustainable goals, including climate change mitigation, renewable energy, smart cities, and resource optimization.
