Computer Science & Engg  (AI & ML)

Overview or About the branch

In today’s digital world, Artificial Intelligence (AI) and Machine Learning (ML) are no longer just buzzwords — they are the driving force behind the technologies we use every day. From smart assistants like Alexa and Siri, to personalized recommendations on Netflix and Amazon, fraud detection in banking, self-driving cars, facial recognition, disease prediction in healthcare, and even agricultural automation — AI & ML are shaping the future across every industry.

The B.Tech in Computer Science & Engineering (AI & ML) at ViMEET is a specialized program designed to prepare students for this future. It combines core computer science fundamentals with cutting-edge knowledge in AI and machine learning. The curriculum is crafted to ensure students build a strong foundation in algorithms, data structures, and programming — and gradually advance towards deep learning, neural networks, natural language processing, computer vision, and more.

“The future belongs to those who can imagine it, design it, and bring it to life with intelligence and purpose.”

— Department of AI & ML, ViMEET

Intake Capacity

Career Opportunities

• AI Engineer – Design and develop intelligent algorithms that can learn and make decisions.
• Machine Learning Engineer – Build predictive models and systems that improve automatically with experience.
• Data Scientist / Analyst – Analyze massive datasets to uncover trends and drive business decisions.
• Computer Vision Engineer – Work on facial recognition, image processing, and object detection systems.
• Natural Language Processing (NLP) Engineer – Develop chatbots, language translators, and voice assistants.
• Robotics Programmer – Create AI-powered robots for automation, navigation, and smart control.
• AI Research Scientist – Innovate and publish cutting-edge research in deep learning and neural networks.
• Business Intelligence Developer – Turn AI insights into strategic tools for companies.
• AI Product Manager / Consultant – Plan, manage, and deploy AI solutions tailored to business needs.
• Startup Founder – Use your interdisciplinary knowledge to launch innovative AI-driven solutions.

Industry Demand

Top recruiters across domains like Tech (Google, Microsoft, Amazon, Infosys, TCS), Healthcare (Siemens, Philips), Finance (Goldman Sachs, JP Morgan), Automobile (Tesla, Tata Motors), and e-Commerce (Flipkart, Meesho) actively seek AI-ML talent.

 Higher Studies & Research

Students may also pursue M.Tech, MS, or PhDs in specialized fields like:

• Deep Learning & Neural Networks
• AI for Healthcare / Smart Cities
• Human-Computer Interaction
• Robotics & Automation
• Cognitive Science / Computational Linguistics

From the Desk of the HoD

Dear Students and Visitors,

Welcome to the Department of Artificial Intelligence and Machine Learning at ViMEET.

In a world rapidly shaped by intelligent systems and data-driven innovation, our department stands as a hub of curiosity, creativity, and real-world application. We aim to prepare students not just for jobs, but for lifelong problem-solving and leadership in the AI era.

Our approach is hands-on and forward-thinking — combining strong foundations in algorithms and programming with the latest in Machine Learning, Deep Learning, NLP, and Generative AI. With modern labs, active industry partnerships, and a culture of Project-Based Learning (PBL), students gain the exposure they need to design meaningful, human-centric AI solutions.

We are committed to shaping ethical, skilled, and socially responsible engineers who are ready to build the future.

Let’s create, innovate, and lead — together.

Warm regards,
Dr.Ankush Pawar
Head of the Department
CSE (Artificial Intelligence & Machine Learning)
ViMEET

Department Vission

To become a center of excellence in Artificial Intelligence and Machine Learning education and innovation, producing globally competent, ethically responsible, and industry-ready professionals who leverage intelligent systems to solve real-world challenges and enhance quality of life.

Department Mission

• To impart strong theoretical foundations and practical skills in AI, ML, and core computer science through an outcome-based, project-driven curriculum.
• To encourage students and faculty to engage in cutting-edge research, innovation, and interdisciplinary projects that drive societal impact.
• To cultivate awareness about the ethical, legal, and social aspects of AI, ensuring responsible development and deployment of intelligent technologies.
• To prepare students for higher studies, entrepreneurship, and leadership roles by nurturing a mindset of continuous learning and adaptability.
• To bridge academia and industry through partnerships, internships, and knowledge exchange with national and international institutions.

Program Educational Objectives (PEOs)

Graduates of the Computer Science & Engineering (AI & ML) program at ViMEET will:

• Build intelligent systems and data-driven solutions that address real-world problems across industries using AI & ML technologies.
• Apply technical knowledge with a strong sense of ethics, societal impact, and sustainability — becoming responsible tech leaders and contributors.
• Collaborate across domains like healthcare, finance, robotics, and agriculture, integrating AI into diverse applications.
• Continuously upskill through research, certifications, higher studies, or entrepreneurial ventures in emerging areas like deep learning, cognitive computing, or ethical AI.
• Leverage Project-Based Learning (PBL) and startup culture to translate ideas into products, services, or ventures that empower communities and industry.

Program Specific Objectives (PSOs)

By the end of the program, students will be able to:

• Design, implement, and optimize intelligent systems using machine learning, deep learning, natural language processing, and computer vision techniques.
• Build scalable, secure, and efficient AI-powered applications that address challenges in real-time systems, robotics, automation, and data analytics.
• Evaluate and deploy ethical AI solutions that are user-aware, socially responsible, and adaptable across diverse environments.

Program Outcomes (POs)

POs are a set of 12 standardized skills/abilities that every engineering graduate must have at the time of graduation (as defined by NBA/AICTE).

1. Engineering Knowledge – Apply core knowledge to solve complex real-world problems.

2. Problem Analysis – Identify, formulate, and analyze technical challenges based on sound engineering principles.
3. Design/Development of Solutions – Design systems and components considering social, cultural, and environmental factors.
4. Conduct Investigations – Use research methods, experimentation, and data analysis to reach valid conclusions.
5. Modern Tool Usage – Employ modern tools and software to model and solve engineering tasks effectively.
6. Engineer and Society – Apply contextual understanding to assess societal, legal, and ethical aspects of engineering.
7. Environment and Sustainability – Evaluate solutions with regard to sustainable and environmental impact.
8. Ethics – Commit to ethical responsibilities and professional standards.
9. Individual and Team Work – Work effectively as an individual and as part of a multidisciplinary team.
10. Communication – Communicate technical ideas clearly in reports, presentations, and collaborative settings.
11. Project Management and Finance – Demonstrate knowledge of engineering, project management, and finance principles.
12. Lifelong Learning – Engage in independent, lifelong learning to stay updated with evolving technologies.

Fees Structure

Faculty & Staff

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Department Achievements

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Why Choose Us ??

Ready to become future-proof in a world driven by AI? At ViMEET, we go beyond traditional teaching — we ignite innovation through Project-Based Learning (PBL), making you industry-ready from Day One. Our cutting-edge curriculum blends strong fundamentals with in-demand technologies like Deep Learning, Natural Language Processing, Generative AI, and Computer Vision, keeping you aligned with global trends.

With state-of-the-art labs, live projects, and hackathons, you’ll not only learn — you’ll build a portfolio that speaks for itself. Our faculty aren’t just educators — they’re innovators and mentors, guiding you through real-world challenges, ethics, and impact.

We’re connected with the world. Through strong industry linkages and international collaborations, students gain exclusive access to internships, mentorship, and career-shaping opportunities. Whether your dream is to crack a job at a global tech company, pursue MS or PhD abroad, or launch your own AI startup — ViMEET will get you there.

Join us. Build the future. Become the future.

Frequently Asked Questions (FAQs)

1. What is the scope of Artificial Intelligence and Machine Learning?

AI & ML are among the fastest-growing fields globally, with applications in healthcare, finance, robotics, automation, self-driving cars, social media, and more. The demand for AI professionals is rapidly increasing across industries.

2. What is unique about the AI & ML program at ViMEET?

ViMEET follows a Project-Based Learning (PBL) approach, giving students hands-on experience from the first year. The curriculum is industry-aligned, and students work on real-world AI problems, with strong mentorship from experienced faculty.

3. What subjects are covered in this program?

The program includes foundational computer science subjects and specialized topics like:

• Machine Learning
• Deep Learning
• Natural Language Processing
• Generative AI
• Data Mining
• Computer Vision
• AI Ethics and Explainability

4. Are internships and industry projects part of the course?

Yes. ViMEET has strong ties with industry partners and startups. Students are encouraged to undertake internships, industry projects, and research during the course to build a practical portfolio.

5. What are the career opportunities after completing this course?

Career opportunities are listed above

6. How is this course different from a regular Computer Engineering course?

While it includes core computer science fundamentals, this program gives specialized focus on AI & ML technologies, tools, and applications. It prepares students specifically for careers in intelligent systems and data-driven technologies.

7. Are there opportunities for research or publication?

Yes. Students are encouraged to participate in research under faculty guidance. There are regular paper presentations, tech events, and publishing opportunities in conferences and journals.