"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 engineering knowledge through the effective use of modern tools with a focus on local and global employability as an AI&ML professional by imbibing leadership qualities, ethical attitude, lifelong learning and social sensitivity.
Program Specific Outcomes
PSO 1:   Apply principles of computing, mathematics, artificial intelligence, and machine learning using modern tools and technologies to design, develop, and deploy intelligent systems for solving real-world problems through a multidisciplinary approach.

PSO 2:   Analyze domain-specific challenges, evaluate emerging technologies, and develop sustainable, ethical, and innovative solutions that address industrial and societal needs through research, industry practice, and experiential learning.
Life @ AI&ML

AI&ML is a fascinating and rapidly evolving field, and with the constant guidance and support of TCET’s dedicated faculty, the learning journey becomes even more engaging and enriching. From an academic perspective, all subjects are taught in a clear and comprehensive manner, integrated with practical applications of Artificial Intelligence and Machine Learning. Even subjects like Environmental Science are explored through real-world case studies, demonstrating how AI&ML algorithms contribute to climate preservation and pollution reduction.
The ACM professional body at TCET plays a vital role in enhancing student's exposure by organizing various academic and co-curricular activities from webinars on higher education to major events during Zephyr, the institute’s annual technical festival.
Students are also encouraged to showcase and refine their talents through participation in college committees and magazines, whether as organizers or contributors. Overall TCET provides a nurturing environment and ample opportunities for students to develop into skilled and successful Machine Learning professionals. Student are nurtured and given all possible platforms where they can mold themselves as successful Machine Learners.

Department Profile

Establishment: AY 2020-2021

Program offered: B.Tech (AI&ML)

Faculty strength: 23

No. of Ph.D.: 03 + 04(Pursuing)

Department library: 45 Books

Professional chapter: ACM SIGAI

Student Membership: ACM SIGAI

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 AIML 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 AIML, 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. AIML 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. AIML offers a specialized focus on artificial intelligence, machine learning, and data analysis. AIML 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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