Explore all undergraduate engineering options at SHEAT B.Tech College in Varanasi.
About Us
Shaping future innovators at SHEAT
The Department of Computer Science & Engineering (Artificial Intelligence and Machine Learning) at SHEAT College of Engineering was established in 2008 to meet the growing global demand for highly skilled software and data professionals. Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables machines to learn from data without explicit programming, while AI is a broader concept that aims to develop intelligent systems capable of mimicking human thinking and actions.
Artificial Intelligence focuses on making machines “smart” by empowering them to execute tasks that require human-like intelligence, whereas Machine Learning applies these principles to help systems learn from experience. Over the years, the institution has achieved significant success in academics, research, and innovation, maintaining 100% admissions across its programs.
The department currently offers the following programs:
- B.Tech – Computer Science & Engineering: 90 seats
- B.Tech – Artificial Intelligence & Machine Learning: 60 seats
- B.Tech – Data Science: 30 seats
- M.Tech – Computer Science & Engineering: 24 seats
Faculty Excellence
The department provides a conducive teaching and learning environment supported by highly qualified and experienced faculty members. Their expertise helps integrate theoretical learning with hands-on practical exposure, ensuring students develop both academic and industry-oriented skills.
- Active participation in Faculty Development Programs (FDPs), seminars, and research initiatives.
- Publications in Scopus and SCI-indexed journals.
- Authorship of book chapters and securing patents.
Faculty engaging in research and FDPs
Infrastructure & Facilities
The department is equipped with advanced laboratories and facilities that promote experiential and project-based learning for AI and ML students.
- Smart classrooms equipped with modern teaching tools.
- Advanced laboratories with the latest software and hardware tools.
Modern infrastructure supporting learning
Industry Interaction & Career Building
The department bridges the gap between academia and industry through interactive programs and initiatives that enhance employability and professional growth.
- Workshops, guest lectures, and corporate networking sessions.
- Industry-oriented summer projects and internship opportunities.
- Technical contests and placement-oriented training programs.
These initiatives have resulted in excellent placement outcomes across top IT companies, banks, PSUs, defense organizations, and startups. Many students have also qualified for competitive exams such as GATE, CAT, and GRE.
Successful placements and industry collaborations
Our Commitment
The Department of Artificial Intelligence & Machine Learning at SHEAT College of Engineering is dedicated to shaping the future of technology by imparting the fundamental skills and innovative mindset needed for success in the digital age. Join us in our pursuit of excellence, innovation, and leadership in Artificial Intelligence and Machine Learning.
Vision & Mission
Guiding principles of the Department of CSE at SHEAT
Vision of the Department
To excel in emerging areas of Computer Science and Engineering by imparting knowledge, relevant practices, and inculcating human values to transform students into potential resources for innovative contributions through advanced computing in real-time situations.
Mission of the Department
- Quality Education: To deliver a comprehensive and rigorous curriculum that equips students with the fundamental knowledge and practical skills in computer science and engineering.
- Research and Innovation: To promote research and innovation by encouraging faculty and students to engage in cutting-edge research projects and collaborations with industry and academia.
- Professional Development: To prepare students for successful careers by providing opportunities for internships, industry projects, and professional development activities.
- Ethical and Social Responsibility: To instil ethical values and a sense of social responsibility in students, ensuring they contribute positively to society.
- Lifelong Learning: To foster a culture of lifelong learning and continuous improvement, encouraging students and faculty to stay updated with the latest advancements in the field.
PEOs, POs & PSOs
Educational objectives and outcomes for AI & ML engineers
Program Educational Objectives (PEOs)
- PEO1: To provide a solid foundation in Artificial Intelligence, Machine Learning, and Computational Science to address real-world challenges.
- PEO2: To prepare students for professional careers and higher studies in AI, ML, Data Science, and related domains through advanced learning and research exposure.
- PEO3: To promote innovation, analytical thinking, and entrepreneurial mindset in designing intelligent systems.
- PEO4: To instill ethical practices, teamwork, communication, and leadership for global employability and social responsibility.
Program Outcomes (POs)
- PO1: Apply the knowledge of mathematics, science, computer science, and AI principles to design and develop intelligent systems.
- PO2: Identify, analyze, and solve complex engineering and data-driven problems using appropriate AI and ML techniques.
- PO3: Design solutions and develop algorithms for real-world challenges that meet societal, environmental, and industrial needs.
- PO4: Conduct experiments and interpret results using modern data analytics and research methodologies.
- PO5: Utilize advanced software tools, programming languages, and frameworks to implement and optimize AI/ML systems.
- PO6: Apply ethical reasoning to data privacy, bias mitigation, and responsible AI development.
- PO7: Understand the environmental and social implications of intelligent systems and contribute to sustainable innovation.
- PO8: Demonstrate professionalism, communication, and leadership in multidisciplinary environments.
- PO9: Collaborate effectively as part of diverse teams to achieve project and research goals.
- PO10: Communicate effectively in technical documentation, presentations, and reports.
- PO11: Apply project management and entrepreneurial principles in AI-driven innovation and research.
- PO12: Engage in lifelong learning and adapt to emerging technologies in AI, ML, and Data Science.
Program Specific Outcomes (PSOs)
- PSO1: Ability to design and deploy AI and ML models for predictive analytics, automation, and optimization across diverse applications.
- PSO2: Proficiency in using modern tools, algorithms, and frameworks to process data and build intelligent solutions.
- PSO3: Capability to integrate AI-driven insights into real-world systems through innovation, research, and entrepreneurship.
Course Curriculum
Industry-aligned and future-ready curriculum at SHEAT
The curriculum of the Department of Artificial Intelligence & Machine Learning (AI & ML) is designed to integrate core computer science fundamentals with specialized knowledge in artificial intelligence, machine learning, data analytics, and automation. Aligned with Dr. A.P.J. Abdul Kalam Technical University (AKTU), it prepares students for both research and professional excellence.
Curriculum Details
- Fundamentals of AI, Data Structures, and Algorithms.
- Core courses in Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks.
- Hands-on practice using tools such as TensorFlow, PyTorch, and Keras.
- Electives in Data Analytics, IoT, Cloud Computing, and AI Ethics.
- Research-based final year projects and industry internships for experiential learning.
| S.No | Course | Branch | Year | Download |
|---|---|---|---|---|
| 1 | B.Tech | Artificial Intelligence & Machine Learning | 1st Year | Syllabus of 1st Year |
| 2 | B.Tech | Artificial Intelligence & Machine Learning | 2nd Year | Syllabus of 2nd Year |
| 3 | B.Tech | Artificial Intelligence & Machine Learning | 3rd Year | Syllabus of 3rd Year |
| 4 | B.Tech | Artificial Intelligence & Machine Learning | 4th Year | Syllabus of 4th Year |
Faculty
Dedicated and experienced AI & ML faculty at SHEAT
The Department of Artificial Intelligence & Machine Learning comprises highly qualified faculty members with expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Data Analytics. They play an active role in mentoring students, guiding research, and fostering innovation through academic and industrial collaborations.
Faculty Details
| S.No | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. Gunjan Mishra | Head of Department | M.Tech |
| 2 | Mr. Alok Singh | Assistant Professor | M.Tech |
| 3 | Mr. Gaurav Choubey | Assistant Professor | M.Tech |
Laboratories
Empowering hands-on learning through modern AI & ML labs
The Department of Artificial Intelligence & Machine Learning provides a robust learning environment through well-equipped laboratories that encourage experimentation, innovation, and research in AI technologies.
AI & ML Laboratories
1. Artificial Intelligence Laboratory
- Focused on intelligent systems, knowledge representation, and AI algorithms.
- Hands-on experience with Python, TensorFlow, and scikit-learn frameworks.
2. Machine Learning Laboratory
- Practical exposure to supervised, unsupervised, and deep learning techniques.
- Model training using real-world datasets with Jupyter, Keras, and PyTorch.
3. Data Analytics & Visualization Lab
- Data pre-processing, analytics, and visualization using Power BI and Tableau.
- Focus on deriving insights through data-driven analysis.
4. Deep Learning & Neural Networks Lab
- Projects on CNNs, RNNs, and GANs using GPUs for high-performance computing.
- Implementation of image recognition and NLP applications.
5. Research & Innovation Lab
- Dedicated for student projects, hackathons, and research publications.
- Encourages startups and prototypes in AI, robotics, and automation.
Academic Calendar
Plan your academic year with SHEAT & AKTU calendars
Stay updated with the official academic schedules. Download the AKTU Academic Calendar 2025-26 and SHEAT Academic Calendar 2025-26 below.
Academic Calendar Downloads
| S.No | Calendar | Session | Download |
|---|---|---|---|
| 1 | AKTU Academic Calendar | 2025-26 | Download |
| 2 | SHEAT Academic Calendar | 2025-26 | Download |