M Tech - Artificial Intelligence
and Data Science (AI & DS)

Laboratories

In order to produce the next generation of skilled engineers who will play a vital role in building our nation’s infrastructure, we need to provide the best technology so that they have the right tools to develop their skills and hone their creativity. MVJCE’s campus is equipped with all the modern facilities and laboratories needed to train talented AI and DS engineers. The labs of the Artificial Intelligence and Data Science department prepare students for employment, teaching, or research. In these industry-supported labs, students, across semesters, are encouraged to try out a variety of activities and tests. The college actively invests in the latest software and new learning facilities, as we strongly believe in providing our students with the right tools for designing and building extraordinary solutions.

A list of the Labs in the Artificial Intelligence and Data Science department:

Fundamentals of Data Science Laboratory

Fundamentals of Data Science Laboratory

In a Fundamentals of Data Sciences Laboratory, students typically engage in a variety of hands-on activities and exercises designed to build their foundational skills in handling and analyzing data. The Fundamentals of Data Sciences Laboratory provides a structured environment for students to gain practical experience with essential tools and techniques in data science. It prepares them to handle real-world data, extract meaningful insights, and communicate findings effectively.

Artificial Intelligence and Data Science Laboratory

In an Artificial Intelligence (AI) and Data Science Laboratory, students typically engage in more advanced and specialized activities aimed at applying AI techniques and advanced data science methods to solve complex problems. Artificial Intelligence and Data Science programs prepare students to develop machine-generated intelligence and analytics that will soon permeate almost every aspect of our lives and significantly impact consumer goods through manufacturing, healthcare, financial, and retail advances.

Deep Learning Laboratory

Students in a deep learning lab typically engage in a variety of activities that are designed to enhance their understanding and skills in the field of deep learning. Students in a deep learning lab are actively involved in hands-on learning, experimentation, collaboration, and professional development activities that equip them with the skills and knowledge needed to excel in the rapidly evolving field of deep learning.

Database Management and NoSQL Laboratory

In a Database Management and NoSQL Laboratory, students typically engage in activities focused on understanding, implementing, and optimizing database systems and NoSQL technologies. Overall, a Database Management and NoSQL Laboratory provides students with practical skills in designing, implementing, managing, and optimizing database systems, preparing them for careers in database administration, data engineering, and related fields.

 

  • Data Structures Lab
  • Design and Analysis of Algorithm Lab
  • Computer Network Lab
  • Database Management Systems Lab
  • System Software & Operating System Lab
  • Computer Graphics Lab
  • Machine Learning Lab
  • IOT Lab
  • AI Lab
  • Web Technology Lab

All these Labs provide hands-on experience to students, to complement the concepts learnt in the classroom, and to help them work out solutions to complex problems.