AI & Machine Learning
Leading innovation in artificial intelligence and machine learning with cutting-edge research and industry applications
Department of AI & Machine Learning
The Department of AI & Machine Learning at SVHEC is at the forefront of artificial intelligence education, combining theoretical foundations with hands-on experience in machine learning, deep learning, neural networks, and intelligent systems. Our program prepares students for the AI-driven future.
About the Department
The Department of AI & Machine Learning at SVHEC is a pioneering academic center established to meet the growing demand for AI professionals. Our department combines foundational computer science education with advanced AI and machine learning concepts, providing students with the skills needed to develop intelligent systems, analyze complex data, and drive innovation in AI-driven industries. We emphasize both theoretical understanding and practical implementation of AI technologies.
To become a center of excellence in artificial intelligence and machine learning education, research, and innovation, producing competent AI professionals capable of solving real-world problems and driving technological advancement.
- Provide comprehensive education in AI, machine learning, and data science fundamentals
- Foster hands-on experience through industry projects and research
- Promote innovation and entrepreneurship in AI technologies
- Develop ethical AI practitioners with strong technical and leadership skills
Programme Educational Objectives
To equip graduates with strong foundation in computer science and specialized knowledge in AI/ML algorithms, techniques, and applications to solve complex real-world problems.
To enable graduates to pursue research, innovate in AI technologies, and contribute to the development of novel solutions for industry and societal challenges.
To ensure graduates will have strong professional ethics, leadership qualities, and the ability to adapt to rapidly evolving AI technologies and industry demands.
Programme Outcomes
Apply the knowledge of mathematics, science, engineering fundamentals, and AI specialization to solve complex engineering problems.
Identify, formulate, review research literature, and analyze complex AI/ML problems using first principles of mathematics and engineering sciences.
Design AI/ML solutions for complex problems and design system components that meet specified needs with consideration for ethical and societal impact.
Use research-based knowledge and methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
Create, select, and apply appropriate AI/ML techniques, resources, and modern engineering tools including prediction and modeling to complex activities.
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to AI professional practice.
Understand the impact of AI solutions in societal and environmental contexts, and demonstrate knowledge of sustainable development.
Apply ethical principles and commit to professional ethics, responsibilities, and norms in AI practice and development.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary AI projects.
Communicate effectively on complex AI engineering activities with the engineering community and society through reports, presentations, and documentation.
Demonstrate knowledge and understanding of engineering and management principles and apply them to AI projects as a team member or leader.
Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broad context of AI technologies.
Programme Specific Outcomes
Excel in designing and implementing AI and machine learning solutions for real-world problems across various domains.
Apply advanced data science techniques, statistical analysis, and visualization to extract insights from complex datasets.
Demonstrate research capabilities, innovation skills, and the ability to contribute to the advancement of AI technologies.
4 Years
Program Duration
120
Annual Intake
96%+
Placement Rate
AICTE
Approved
Academic Curriculum
Our AI & Machine Learning curriculum provides comprehensive knowledge in artificial intelligence, machine learning, data science, and deep learning with hands-on project experience.
Regulations:
Syllabus:
- Engineering Mathematics - I & II
- Engineering Physics
- Engineering Chemistry
- Basic Electrical Engineering
- Programming for Problem Solving
- Engineering Graphics
- English Communication
- Discrete Mathematics
- Data Structures and Algorithms
- Computer Organization
- Object Oriented Programming
- Probability and Statistics
- Introduction to Artificial Intelligence
- Linear Algebra for AI
- Database Management Systems
- Operating Systems
- Machine Learning Algorithms
- Deep Learning and Neural Networks
- Data Science and Analytics
- Computer Vision
- Natural Language Processing
- Cloud Computing for AI
- Mobile Application Development
- AI Ethics and Responsible AI
- Reinforcement Learning
- Time Series Analysis and Forecasting
- Big Data Technologies
- Internet of Things (IoT)
- Blockchain for AI
- AI/ML Project Work
- Industry Internship
- Professional Electives
Our Faculty Team
Our AI & Machine Learning department comprises highly qualified faculty members with doctoral degrees, research expertise, and industry experience in artificial intelligence and data science.
ASSISTANT PROFESSOR
Qualification: B.E.,M.E.,
Experience:
ASSISTANT PROFESSOR
Qualification: B.E.,M.E.,
Experience:
- Published 100+ research papers in AI/ML journals and conferences
- Research grants from DST, SERB, and industry partners
- Patent filings in AI and machine learning innovations
- Industry consultancy projects with leading tech companies
- Faculty members serving as reviewers for international journals
Department Facilities
- High-performance GPU computing systems for deep learning
- Latest AI software frameworks: TensorFlow, PyTorch, Keras
- Cloud computing access (AWS, Google Cloud, Azure) for AI projects
- Big data processing tools: Hadoop, Spark
- Comfortable computing environment with 60 high-end systems
Our dedicated data science lab provides hands-on training in:
- Statistical analysis and data visualization tools
- Python and R programming environments
- Real-time data processing and streaming analytics
- Database systems and data warehousing
Advanced innovation center for AI research and development:
- AI prototyping and experimentation space
- Robotics and IoT integration facilities
- AR/VR development stations
- Industry collaboration project workspace
AI/ML Frameworks:
- TensorFlow & Keras
- PyTorch
- Scikit-learn
- OpenCV
- NLTK & spaCy
Development Tools:
- Jupyter Notebooks
- Google Colab
- Anaconda Distribution
- Docker & Kubernetes
- GitHub & GitLab
Cloud platform access for AI development:
- AWS Educate accounts with AI/ML services
- Google Cloud Platform free tier access
- Microsoft Azure for AI students
- IBM Cloud and Watson AI services
- High-performance computing clusters
Research and Development
Our department is actively engaged in cutting-edge AI research, focusing on emerging technologies, innovative applications, and industry collaborations to solve real-world challenges.
- Deep Learning and Neural Networks
- Computer Vision and Image Processing
- Natural Language Processing
- Reinforcement Learning
- Big Data Analytics
- AI in Healthcare and Medicine
- Published 120+ research papers in international journals
- Received funding from DST, SERC, and industry partners
- 3 patents filed in AI innovations
- Organized 5 international AI conferences
- 25+ PhD scholars pursuing advanced AI research
Students actively participate in:
- AI research projects with faculty mentors
- Kaggle competitions and hackathons
- AI conferences and paper presentations
- Startup and entrepreneurship initiatives
Strategic partnerships with leading organizations:
- IBM Watson AI Academic Initiative
- Google AI Research Collaboration
- Microsoft AI Development Program
- Local AI startups for internships
Academic Projects:
- AI-powered medical diagnosis system
- Autonomous drone navigation
- Sentiment analysis for social media
- Predictive maintenance for industries
Industry Projects:
- Chatbot development for customer service
- Fraud detection using machine learning
- Recommendation systems for e-commerce
- Computer vision for quality control
Placement Statistics
Our AI & Machine Learning graduates are in high demand by top technology companies, research organizations, and startups, with excellent placement records and competitive packages.
- Highest Package: ₹35 LPA
- Average Package: ₹15 LPA
- Placement Percentage: 96%
- No. of Companies Visited: 60+
- International Offers: 12+
- Total Students Placed: 115
- Core AI Roles: 65%
- Software Development: 35%
Tech Giants:
- Microsoft
- Amazon
- Facebook (Meta)
AI Companies:
- OpenAI
- NVIDIA
- IBM Watson
- Accenture AI
AI/ML Roles:
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Computer Vision Engineer
Related Roles:
- NLP Engineer
- Robotics Engineer
- AI Product Manager
- Big Data Engineer
Internship Opportunities:
- Research internships at premier institutes
- Industry internships with AI companies
- Startup incubation programs
- Government research projects
Higher Studies:
- MS in AI/ML at top international universities
- PhD research fellowships
- Postgraduate research assistantships
Department Activities
- AI & ML Club – Weekly meetups, project showcases, and AI discussions
- Coding Club – AI-focused programming challenges and hackathons
- Innovation Club – AI startup ideation and product development
- Data Analytics Club – Data science competitions and projects
- AI Summit – Annual artificial intelligence conference and expo
- Machine Learning Hackathon – 48-hour AI development competition
- Data Science Championship – Analytics and visualization contest
- AI Innovation Challenge – Real-world problem solving
- RoboWars – AI-powered robotics competition
- Regular guest lectures by AI industry experts
- Industrial visits to AI research centers and tech companies
- Industry-sponsored AI projects and internships
- AI startup mentorship and incubation programs
- Alumni network in AI industry
- Deep Learning with TensorFlow and PyTorch
- Computer Vision and Image Processing
- Natural Language Processing and Text Analytics
- Big Data and Cloud Computing for AI
- AI Ethics and Responsible AI Development
- Research Paper Writing and Publication
- Student research paper presentations
- AI project competitions and exhibitions
- Collaborative research with industry partners
- Patent filing and intellectual property workshops
- Open-source AI tool development
- AI awareness programs in schools
- AI solutions for local community problems
- Free AI workshops for underprivileged students
- AI for social good projects
Ready to Join AI & Machine Learning Program?
Take the first step towards an exciting career in artificial intelligence and machine learning. Contact our department for more information about the program and admission process.