"Education is the manifestation of the perfection already in man." - Swami Vivekanand
Vision
“To become a department of international relevance in the field of Artificial Intelligence and Machine learning”
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.
Program Specific Outcomes
PSO1:   Ability to identify interdisciplinary problems related to various sectors in order to evolve novel and Sustainable solutions by using research techniques and concepts of Artificial Intelligence and Machine Learning.

PSO2:   Ability to apply practices of Artificial Intelligence and Machine Learning by appropriate selection of tools and technologies for different use cases to build new-age products and services for Society.

PSO3:   Ability to pre-process data sets to extract insights by applying various data pre-processing techniques.

PSO4:   Ability to use Artificial Intelligence and Machine Learning models on data for enabling better decision making.
Life @ AI&ML

AI & ML is an interesting field and with the support of TCET faculty the journey becomes more interesting In Academic side all the subjects are taught in lucid manner with an added favor of AI & ML. Environmental science also is taught with different case studies how AI & ML algorithms are useful in saving climate conditions and reducing pollution.
ACM is a professional body conducting various activities for students including webinars on higher education to organization of events in the Zephyr – Annual Technology festival of institute.
Students get all the platform to nurture their talent by participating in various college magazine committee as an organizer or as an author. Student are nurtured and given all possible platforms where they can mold themselves as successful Machine Learners.
TCET ACM SIAGA Student Chapter Core Member
IPR and IP Management for Startups Conducted by TCET
PSR Activites - Super AI Community StakeHolder Connect

Department Profile

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

Student Oriented Best Practices

Student Oriented Best Practices

Growth and Career opportunities in Artificial Intelligence and Machine learning

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.

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