Diploma in Artificial Intelligence and Machine Learning Engineering provides students with a strong foundation in the field, preparing them for careers in Artificial Intelligence and Machine Learning. The program offers a blend of theoretical learning and hands-on experience, covering key concepts such as machine learning, artificial intelligence, deep learning, Python programming, R programming etc. Students work on projects that simulate real-world scenarios, enhancing their problem-solving skills and readiness for industry challenges. The curriculum is aligned with NEP 2020 covers a wide range of topics, including artificial intelligence, machine learning, supervised learning, unsupervised learning and reinforcement learning. Students also explore emerging technologies like natural language processing and neural networks, gaining insights into the future of Artificial Intelligence & Machine Learning. With access to state-of-the-art laboratories and industry partnerships, students have the opportunity to work on projects that tackle complex problems and develop new solutions. Upon completion of the diploma, students are in high demand in industries such as data analytics, data science, bioinformatics, and healthcare, thanks to their practical skills and innovative thinking.
Vision
- To lead in AI and Machine Learning education, promoting innovation through
research, industry partnerships, and ethical practices to meet society and changing needs.
Mission
- To provide high-quality education equipping students with the skills to excel in the field of Artificial Intelligence and Machine Learning.
- To provide industry exposure through internships, projects, and partnerships, ensuring students gain practical experience and stay updated on industry trends.
- To cultivate technical proficiency, critical thinking, collaboration, and entrepreneurial spirit among students, fostering a culture of innovation and problem- solving.
- To nurture ethical values, social responsibility, and awareness of societal challenges, nurturing students committed to positive contributions to society.