Department of Artificial Intelligence and Machine Learning

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Department of Artificial Intelligence and Machine Learning

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    Started
    2021
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    Intake
    60
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    DTE Choice Code
    517292110

Dr. U. M. Patil

Head of Department

R. C. Patel Institute of Technology (RCPIT), Shirpur was established in 2021 with the vision of developing future-ready professionals capable of shaping the intelligent systems of tomorrow. The department offers an undergraduate program that focuses on blending the principles of computer science with modern advancements in AI, machine learning, data analytics, and computational intelligence.

Coined in 1956 by John McCarthy, Artificial Intelligence (AI) refers to systems capable of performing tasks that typically require human intelligence. The scope of AI has expanded significantly in recent years due to the explosive growth of data, advancements in algorithms, and increased computing power. Machine Learning (ML), a core subset of AI coined by Arthur Samuel in 1959, enables computers to learn and improve from experience without being explicitly programmed.

Today, AI is revolutionizing industries such as healthcare, education, transportation, agriculture, retail, and communication. According to industry leaders and analysts, AI is set to transform the global economy, creating unprecedented opportunities across all sectors. Market reports estimate the global AI software market will exceed $126 billion by 2025, and the machine learning market is projected to grow from $7.3 billion in 2020 to $30.6 billion in 2024.

In response to this emerging landscape, the department at RCPIT ensures that students receive a well-rounded education in AI principles, deep learning, natural language processing, computer vision, robotics, ethics in AI, and deployment of AI applications.

Vision

To empower learners with the knowledge and skills in Artificial Intelligence and Machine Learning to innovate, lead, and ethically transform the digital world.

Mission

  • M1: To impart high-quality education in AI and ML through advanced curriculum and modern tools.
  • M2: To develop problem-solving abilities and a research mindset in students through experiential learning.
  • M3: To foster innovation, ethical responsibility, and global competitiveness in future AI professionals.

Program Educational Objectives (PEOs)

PEO 1
Apply fundamental knowledge of artificial intelligence, machine learning, mathematics, and computing to develop intelligent systems and solve real-world problems.

PEO 2
Pursue successful careers in industry, research, by continuously upgrading their technical skills and adapting to emerging technologies.

PEO 3
Exhibit professionalism, ethical behavior, teamwork, and leadership while addressing societal needs through responsible AI practices

Program Specific Outcomes (PSOs)

PSO 1
Design, develop, and deploy intelligent systems using core concepts of artificial intelligence, machine learning, deep learning, and data analytics to solve complex real-world problems.

PSO 2
Demonstrate proficiency in modern programming languages, AI/ML frameworks, and cloud platforms for building scalable and efficient intelligent applications.

Key Highlights of the Department

  • Qualified Faculty: 3 out of 11 faculty members hold Ph.D. degrees with specialization in AI, machine learning, or data science.
  • Student Enrolment & Graduation: 187 students enrolled since 2021; growing student interest in AI & ML careers.
  • Research & Innovation: 26+ research papers published in AI and ML domains; 2 + patents filed or granted.
  • Industry-Oriented Curriculum: Courses aligned with real-world applications, covering Python, TensorFlow, Keras, PyTorch, OpenCV, NLP, and AI ethics.
  • Hands-on Learning: Projects, labs, and capstone experiences in every semester to apply AI/ML techniques in real-time.
  • 6+ Modern Laboratories Well-equipped laboratories for AIML.
  • MOOC & Certifications: Encouragement for certifications through Coursera, NPTEL, SWAYAM, and platforms like Google AI, Microsoft Learn, and IBM AI Engineering.
  • Placement Preparation:
    • Resume workshops and mock technical interviews
    • Soft skill and aptitude training
    • Internship support and corporate training programs
  • Hackathons & AI Challenges: Participation in regional and national AI competitions, innovation challenges, and AI-datathons.
  • AI Lab & Infrastructure:
    • Dedicated lab with high-performance systems for AI/ML model development
    • Access to cloud platforms and GPU-based training environments
  • Alumni & Industry Interaction: Regular interaction with alumni working in leading AI firms and research organizations.

Student Development & Learning Culture

  • Active student associations and coding clubs promoting peer learning, workshops, and technical talks.
  • Emphasis on ethics in AI, responsible innovation, and societal impact of intelligent systems.
  • Support for entrepreneurship and idea incubation through collaboration with the Innovation & Startup Cell.
  • Guidance for higher education and competitive examinations in AI and machine learning.

The Department of Artificial Intelligence and Machine Learning at RCPIT stands at the forefront of technological education, providing students with a powerful blend of theoretical grounding, practical expertise, and ethical values. Through its future-focused curriculum, expert faculty, and immersive learning ecosystem, the department is committed to building the next generation of AI professionals, researchers, and innovators ready to shape tomorrow's intelligent world.