Vision |
“To become a department of international relevance in the field of
Artificial Intelligence and Machine learning”
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Mission |
To nurture students with sound technical knowledge in AI&ML
effective use of modern tools and agile methodologies
with a focus on local and global employability as AI & ML professionals
imbibing leadership qualities, ethical attitude, communication skills, lifelong learning, and social sensitivity.
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Program Specific Outcomes |
Life @ AI&ML |
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Establishment: AY 2020-2021
Program offered: B.Tech (AI&ML)
Faculty Strength: 11
No. of Ph.D.: 01
Department library: 10 Books
Professional chapter: ACM SIGAI
Student Membership: ACM SIGAI, NCC
Number of labs: 03
Number of classrooms: 02
Common facilities: Seminar Hall-04 & Auditorium - 01
Publication: "Tejas" Departmental Magazine ACM SIGAI Newsletter
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AI and ML are rapidly evolving and have a significant impact on various industries, including healthcare, finance, transportation, and more. Choosing AI & ML can provide you with skills that are in high demand and can open up numerous career opportunities. AI and ML professionals are in high demand across the globe. By specializing in AI & ML, you can position yourself for exciting and well-paid job roles. The field offers diverse career paths, such as data scientist, machine learning engineer, AI researcher, AI consultant, and many more. AI & ML is at the forefront of technological advancements. The skills of AI & ML will enable you to contribute to the development of innovative solutions and stay updated with the latest advancements. AI & ML offers a specialized focus on artificial intelligence, machine learning, and data analysis. AI & ML will provide you with a more specialized and in-depth understanding of these areas compared to a broader IT or Computer Engineering program.
TCET is reframing the curriculum as per the NEP 2020 guidelines.NEP provides a framework to make engineering education more feasible, successful implementation requires adequate infrastructure, resources, and effective coordination among stakeholders. It also requires continuous monitoring and evaluation to address any challenges and make necessary improvements. NEP emphasizes the importance of collaboration between academia and industry.
News Flash |