Best AI and ML Engineering College in Mumbai TCET

"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 provide quality education in AI & ML supported by state-of-the-art infrastructure, modern tools and agile methodologies.

To nurture strong technical knowledge and research aptitude through holistic and multidisciplinary education, empowering students to solve real-world problems and develop sustainable AI-driven solutions.

To enhance local and global employability by aligning the curriculum with industry requirements and fostering collaboration with industry, academia, and research organizations

To inculcate leadership qualities, ethical values, communication skills, lifelong learning, and social sensitivity to develop responsible and globally competent professionals

Program Specific Outcomes

PSO 1: Technical Competency Demonstrate proficiency in mathematics, computing, artificial intelligence, machine learning and data science by utilizing modern engineering tools and techniques.

PSO 2: Problem Solving Analyze engineering problems and apply AI and ML techniques to develop innovative and sustainable solutions for industrial and societal applications.

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 + 08(Pursuing)

Department library: 45 Books

Professional chapter: ACM SIGAI

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.