Artificial Intelligence and Machine Learning

B.E – Artificial Intelligence & Machine Leaning (AI & ML)


Sir MVIT is added a New Undergraduate Branch : Artificial Intelligence & Machine Learning (AI & ML) from the Academic Year 2022-23 which has been approved by All India Council for Technical Education, New Delhi with an intake of 60 seats.

Artificial intelligence is a field of study in computing science that allows a system to complete tasks we typically associate with cognitive functions such as reasoning, strategizing and problem-solving, without requiring an explicit solution for every variation. Machine learning is a set of computational techniques, within a larger system, that use data to create models that make predictions about future data. Increasing digitalization of the economy and society major industries & sectors rely heavily on Artificial Intelligence and Machine Learning to optimize their business better.

Artificial Intelligence and Machine Learning is ideal for students who desire to learn how to program computer systems to learn from data and perform complex tasks normally associated with human-level intelligence. During the tenure of this program, students shall develop an understanding of the trending abstract models for AI&ML Technology and apply them in a wide range of industries.

  • To become a Globally recognised Institution that excels in providing quality education and fostering the development of highly skilled professionals in the field of Artificial Intelligence and Machine Learning.
  • To provide a comprehensive and rigorous academic curriculum that equips students with the knowledge, Skills and Expertise required excelling in realm of Artificial Intelligence.
  • To fostering a culture of innovation, critical thinking and ethical practices, while promoting inter-disciplinary collaboration and research.
  • To empower our students to become leaders and contribute to the advancement of Artificial Intelligence on a global scale with the help of dedicated faculty, state-of-the-art facilities and industry partnerships.
  • Apply practical engineering skills to pursue ethical and productive careers in the Artificial Intelligence and machine learning domain, as well as in related industries and organizations.
  • Possess a foundation that enables and promotes qualified individuals to pursue advanced technical and professional degrees.
  • Demonstrate adequate breadth to successfully transition into various professional areas, such as business, and management.
  • Apply tools and techniques in Artificial Intelligence and Machine Learning to address multidisciplinary problems.
  • Expertise in identifying, Analysing , Designing and Developing Systems by applying principles and concepts of  Devops , MangoDB, Project Management with GIT, Block-Chain Technology and MLOps.
Name Designation Qualification
B.E in Artificial Intelligence and Machine Learning with 60 intake

Digitalization of society is changing the ways people act and interact. United Nation report "Digital Economy Report 2021" estimates Global Monthly data traffic to be 780 exabytes by 2026.

Artificial Intelligence adoption is expected to be worth $190 billion by 2025. By 2030, AI technology will add $15.7 trillion to global gross domestic product (GDP). According to the International Data Corporation (IDC), the AI market in India is projected  to reach $ 7.8 billion by 2025. Report from Accenture ‘Rewire for Growth’ stated that AI has the potential to add nearly $957 billion, or 15% to the India's current gross value in 2035.

AI could enable the accomplishment of 134 targets — out of 169 — across all U.N. Sustainable Development Goals.

Report from Gartner indicates AI/ML would create 2.3 million jobs by the year 2026.

Job Opportunities

  • Artificial Intelligence Data Analyst / Developer / Engineer / Expert
  • Applied Artificial Intelligence Engineer
  • Automation Engineer
  • Business Intelligence Analyst / Developer
  • Data Analyst / Engineer / Scientist
  • Data Security Analyst / Engineer
  • Machine Learning Architect / Developer / Engineer / Expert
  • Research Scientist
  • Software Analyst

Council of Europe COE- History of Artificial Intelligence

1956-The term "AI" could be attributed to John McCarthy of MIT (Massachusetts Institute of Technology), which Marvin Minsky (Carnegie-Mellon University) defines as "the construction of computer programs that engage in tasks that are currently more satisfactorily performed by human beings because they require high-level mental processes such as: perceptual learning, memory organization and critical reasoning.

NASSCOM launches first AI Adoption Index for India

NASSCOM, along with EY and with support from Microsoft, EXL and Capgemini, has developed a first-of-its-kind AI Adoption Index for India. The study 'Tracking India's Sectoral Progress on AI Adoption' intends to assess AI adoption in India and dive deep into the four key sectors which are leading India's AI story - Banking and Financial Services (BFSI), Consumer Products and Retail, Healthcare, and Industrials and Automotive which contribute nearly about 70 per cent of the $500 billion in value that AI and data can unlock for India.

‘AI in Defense’ (AIDef) symposium and exhibition75 Artificial Intelligence products/technologies -

The products, launched as part of ‘Azadi Ka Amrit Mahotsav’ celebrations, fall under various domains. These include AI Platform Automation; Autonomous / Unmanned / Robotics systems; Blockchain based Automation; Command, Control, Communication, Computer & Intelligence, Surveillance & Reconnaissance; Cyber Security; Human Behavioral Analysis; Intelligent Monitoring Systems; Lethal Autonomous Weapon Systems; Logistics and Supply Chain Management, Operational Data Analytics; Manufacturing and Maintenance; Simulators / Test Equipment and speech/voice analysis using Natural Language Processing.

AI/ML adoption in the Public Sector: Three ways to get started

Machine learning (ML) and Artificial Intelligence (AI) are creating more personalized and easier digital experiences for constituents.

India’s Artificial Intelligence (AI) market is expected to witness a growth of 20% over the next five years

Joint study conducted by Microsoft and the Internet and Mobile Association of India (IAMAI)

AI and ML will help Life Sciences companies develop treatments faster and more efficiently in the future, reducing the costs of health care, while making it more accessible to patients.

UNESCO - Recommendation on the Ethics of Artificial Intelligence

UNESCO’s groundbreaking document which was adopted in November 2021 by the 193 UNESCO Member States which defines a set of common values and principles for the healthy development and deployment of AI technologies around the world.

Programme Outcomes
  • PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  • PO3: Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
  • PO4: Conduct investigations of complex: Problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
  • PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an under- standing of the limitations.
  • PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
  • PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
  • PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
  • PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
  • PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to owners own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12: Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Design and Developed by KodeForest @ All Rights Reserved by KodeForest

University of Education

Sed ut imperdiet nisi. Proin condimen nunc Etiam pharetra, erat sed fermentu

Contact Us Now and Get Started