Program’s Key Highlights
- Comprehensive Curriculum: Students will explore essential topics such as Mathematics for AI, Data Structures, Algorithms, Probability, Linear Algebra, Neural Networks, Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning, providing a solid foundation in both AI theory and practical techniques.
- Hands-on Learning:The program offers extensive practical labs, internships, and industry projects that allow students to apply their learning in real-world scenarios. Students will work with AI and ML tools, libraries, and frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn to build and deploy AI models.
- AI and ML Model Development: Students will learn how to develop and implement AI algorithms for tasks like image recognition, speech processing, predictive modeling, and autonomous systems, gaining expertise in both supervised and unsupervised learning techniques.
- Industry-Relevant Skills: The program focuses on building in-demand skills in data analysis, predictive analytics, pattern recognition, deep learning, neural networks, and AI system optimization, preparing students for careers in AI research, data science, and AI software development.
