Growth in AI investment has been steady since 2012, reaching $42 billion in 2020

B.E. Artificial Intelligence
and Machine Learning (AI & ML)

Home / Programmes Offered at MVJCE / B.E. Artificial Intelligence and Machine Learning

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Artificial intelligence is the process of simulating human intelligence by machines, especially computer systems. It has made science fiction come alive, and robot-like characteristics are possible using artificial intelligence and machine learning algorithms.
Their influence spans gaming consoles, smartphones, drones, self-driving cars, security cameras, diagnostic tools in healthcare, and virtual assistants like Alexa and Siri.
AI is crucial in warehouse management, supply-chain logistics, e-commerce, biometric systems, and numerous other industries.
Notably, AI operates in the background of smartphones, analysing user behaviour and preferences to offer personalised suggestions
The impact of AI and ML is profound, shaping experiences and interactions in countless ways.

Foundational Concepts:AI and Machine Learning (ML) are fundamental components of the department’s curriculum, covering topics like machine learning algorithms, deep learning, natural language processing, and computer vision.

Research and Development: The department focuses on advancing AI and ML research, exploring applications in areas like robotics, healthcare, finance, and transportation.

Practical Applications:Students learn to design, develop, and deploy AI-powered systems, leveraging ML techniques to solve real-world problems.

Interdisciplinary Approach:AI and ML are integrated with other engineering disciplines, such as computer science, electrical engineering, and data science, to tackle complex challenges.

Departmental Focus Areas

Machine Learning:Developing algorithms and models that enable machines to learn from data and make predictions or decisions.
Deep Learning:Exploring neural networks and their applications in areas like image recognition, speech processing, and natural language understanding.
AI for Specific Domains:Applying AI and ML techniques to domains like healthcare, finance, and transportation to solve specific problems.

A Sneak Peek Into Your Future

AI and ML Engineering offer vast career prospects, addressing a significant shortage of specialists.
Projections of 58 million AI jobs and initiatives like Digital India signal ample opportunities.
AI’s influence in sectors like Agriculture, Retail, Healthcare promises high demand for AI Engineers.
Lucrative career opportunities await undergraduates in this rapidly growing field.

Career Opportunities

Graduates in AI and ML find ample job opportunities. The demand for AI specialists exceeds the supply, making it a lucrative field with broad applicability across industries.

AI/ML Engineer: Designing and developing AI-powered systems and ML models for various applications.
Data Scientist:Working with data to develop insights, models, and predictions that inform business decisions.
Research Scientist:Advancing AI and ML research, exploring new techniques and applications.

AI and ML Engineering offer vast career prospects, addressing a significant shortage of specialists.
Projections of 58 million AI jobsand initiatives like Digital India signal ample opportunities.
AI’s influence in sectors like Agriculture, Retail, and Healthcare promises high demand for AI Engineers.
Lucrative career opportunities await undergraduates in this rapidly growing field.

Read in More Detail

Autonomous institute with a tailor-made AI program
Dynamic learning beyond the classroom environment
Experienced faculty using cutting-edge technologies
Exposure to diverse AI domains and applications
Holistic AI Engineering program blending key principles
Focus on developing systems, tools, and AI applications
Preparation for complex network programming and training
Emphasis on problem-solving and analytical skills

Comprehensive Curriculum

The curriculum is revamped by considering the recommendations of NEP 2020, AICTE, and UGC. Courses in emerging technologies, multidisciplinary courses have been included in the curriculum to make it industry-relevant and application-oriented. More emphasis is on experiential learning to avoid rote learning.

‘Honours’ would be an add-on degree for a student. From the fifth semester onwards, students have to take up 18 additional credit courses, and at the end of the term, the student will be eligible for both B.E. in the respective branch, along with B.E. Honours.

Students can also pursue a B.E. Programme with a Major in one specialisation and a minor in another specialisation.