Bachelor of Technology (B. Tech) program in Artificial Intelligence and Machine Learning (AIML) at Prestige Bhopal.
Artificial Intelligence and Machine Learning
Head Of Department
Dr. Parashu Ram Pal
Professor & Head
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About Department
Artificial Intelligence and Machine Learning (CSEIML)
Overview
Teaching Pedagogy
- Hands-On Learning
- Project-Based Assignments
- Innovative Teaching Methods
- Industry Integration
- Cutting-Edge Technologies
- Research Opportunities
- Holistic Development
- Industry Internships
- Continuous Assessment
- Collaborative Environment
Department Vision
The Department of CSE (Artificial Intelligence and Machine Learning) aims to develop into a centre of excellence in AI and ML education by nurturing industry-ready, innovative, and socially responsible professionals who contribute to technological advancement and national development
Mission
- Provide high-quality education in AI, ML, and computer science.
- Foster innovation, research, and practical problem-solving skills.
- Prepare students for careers, higher studies, and entrepreneurship with ethical responsibility.
- PEO1: Gain strong knowledge and technical skills in AI and ML.
- PEO2: Solve real-world problems using AI/ML through research and innovation.
- PEO3: Demonstrate ethics, teamwork, and leadership for professional success.
- Engineering Knowledge - Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem Analysis - Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- 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, and cultural, societal, and environmental considerations.
- Conduct Investigations of Complex Problems - Use research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- 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 understanding of their limitations.
- 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.
- Environment and Sustainability - Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of and the need for sustainable development.
- Ethics - Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
- Individual and Teamwork - Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
- Communication - Communicate effectively on complex engineering activities with the engineering community and society at large, including the ability to comprehend and write effective reports, design documentation, make effective presentations, and give and receive clear instructions.
- Project Management and Finance - Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and work in multidisciplinary environments.
- 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.
- PSO1: Apply AI/ML algorithms and tools to develop practical solutions.
- PSO2: Analyze and interpret data for informed decision-making.
- PSO3: Work effectively in teams, communicate professionally, and follow ethical practices.
Admission process
At PIMR, we prepare you to launch your career by providing a supportive, creative, and professional environment from which to learn practical skills.
FAQ's
PIMR offers industry-focused AI and Machine Learning education, experienced faculty, modern labs, practical training, and placement support for future technology professionals in Bhopal.
Students must complete 10+2 with Physics, Chemistry, and Mathematics from a recognized board to apply for the AI & ML engineering B.Tech program.
The program covers artificial intelligence, machine learning, deep learning, data analytics, programming, robotics, and cloud technologies with hands-on practical training opportunities.
Yes, PIMR Bhopal offers placement support, internships, industrial training, and career guidance for students pursuing AI and Machine Learning engineering courses in Bhopal.
PIMR provides advanced laboratories, smart classrooms, high-speed internet, innovation centers, and project-based learning facilities for AI and ML engineering students.
Phone: 7880161302 / 03