Approved by AICTE and DTE Maharashtra,
Affiliated to M.S.B.T.E.
An ISO 9001:2015 Certified Institute
Empowering students with intelligent technologies, data-driven thinking, machine learning, programming, automation and industry-ready AI engineering skills.
Artificial Intelligence and Machine Learning is a rapidly evolving engineering discipline that focuses on building intelligent systems capable of performing tasks that typically require human intelligence. These include learning, reasoning, problem-solving, perception, and natural language understanding.
AI and ML technologies are transforming industries such as healthcare, finance, robotics, manufacturing, and cybersecurity. This course is designed to equip students with foundational and advanced knowledge in algorithms, data structures, deep learning, neural networks, natural language processing, computer vision, Computing Systems, Simulations and big data analytics. The program integrates core computer science with specialized AI/ML subjects and is supported by practical lab sessions and project-based learning.
To create technically competent, innovative and socially responsible AI & ML professionals capable of developing intelligent solutions for modern society and industry.
Develop strong foundations in programming, algorithms, artificial intelligence, machine learning and modern computing technologies.
Encourage creative thinking, data-driven solutions, neural networks, deep learning and intelligent application development.
Prepare students with practical AI, ML, data analytics and software skills required by modern technology industries.
Practical learning of Python programming, algorithms, data structures and machine learning fundamentals through hands-on development.
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Hands-on learning of data processing, visualization, statistical analysis, predictive models and data-driven applications.
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Practical development using neural networks, deep learning, computer vision and intelligent automation applications.
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Problem-solving activities, intelligent application challenges, model-building tasks and expert sessions.
Practical exposure through machine learning, data analytics, neural networks and intelligent systems workshops.