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Diploma In AI & ML Engineering

Department of AI & ML Engineering – Ithape Polytechnic, Sangnmner

Level: Under Graduate

Intake: 60 Seats

Assessment Pattern: Semester

Study Mode: Full Time (3 Years)

Location: Velhale, Sangamner, Dist – A'nagar

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About the Department

Artificial Intelligence and Machine Learning Engineering is at the forefront of the next technological era, and the department at Vamanrao Ithape Polytechnic College is committed to shaping future innovators and problem-solvers in this transformative domain. AI & ML engineers design intelligent systems that learn, adapt, and improve from data — powering applications from virtual assistants to autonomous vehicles and predictive analytics.

The field of AI and ML Engineering covers a broad spectrum of modern technologies, including deep learning, natural language processing (NLP), robotics, computer vision, neural networks, and data analytics. With businesses and industries rapidly integrating AI for smarter decision-making, the demand for skilled professionals in this field is experiencing exponential growth.

Founded with a vision to produce technically sound and industry-ready graduates, the AI & ML Engineering Department at Vamanrao Ithape Polytechnic College offers a comprehensive 3-year diploma program. It builds a strong foundation in mathematics, programming, data science, algorithms, and AI frameworks while nurturing analytical thinking and innovation.

Our Vision

To emerge as a premier technical institute, renowned for academic excellence, technological innovation, and meaningful contributions to society.

Our Mission

To provide quality technical education through industry-relevant curricula.
To foster an environment of innovation, research, and skill development.
To develop ethical and socially responsible professionals.

Program Educational Objectives (PEOs)

To provide students with strong foundational knowledge in Artificial Intelligence, Machine Learning, Data Science, and related computational sciences.
To prepare students for successful careers in AI-driven industries, software development, data analytics, research, and emerging technology domains.
To train students in modern tools, frameworks, and platforms for effective design, development, and deployment of intelligent systems.
To encourage problem-solving, analytical thinking, teamwork, and leadership skills for professional growth and innovation.
To instill professional ethics, awareness of data privacy, fairness, and responsible AI practices in real-world applications.
To motivate students for lifelong learning, research, entrepreneurship, and higher education in AI, ML, and advanced computing technologies.

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Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

Department Objectives

To provide quality technical education in the field of Artificial Intelligence and Machine Learning with a balance of theoretical knowledge and practical applications.

To develop competent AI & ML engineers capable of meeting industry, research, and societal needs.

To equip students with knowledge of modern tools, programming languages, frameworks, and intelligent system development practices.

To encourage innovation, research attitude, and problem-solving abilities using AI and data-driven approaches.

To create awareness of professional ethics, data privacy, fairness, and responsible AI practices.

To strengthen industry–institute interaction through internships, workshops, projects, and expert sessions.

To prepare students for higher studies, competitive examinations, and entrepreneurship in AI & ML domains.

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Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

Faculty – AI & ML Engineering Department

Our AI & ML Engineering Department is led by highly qualified and experienced faculty members dedicated to providing quality education, practical training, and guidance to students. The faculty team ensures that students are industry-ready and equipped with both technical and professional skills.

Highly qualified and experienced teaching staff with expertise in diverse AI & ML engineering domains.
Faculty members with strong academic backgrounds and industry exposure.
Dedicated to mentoring students through innovative teaching methods and practical training.
Encourage student participation in projects, workshops, and industry visits.
Focus on developing technical skills along with ethics and professionalism.

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Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

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Mr.Yashodeep Bhamare

Designation: HOD

Qualification: M.E. Structural Engineering, B.E.

Experience: 8 Years

Area of Interest: Design of RCC Structures

Mr.Sawal Saad Ashik

Designation: Lecturer

Qualification: M.E. Transportation Engineering, B.E. Civil

Experience: 6 Years

Area of Interest: Highway & Traffic Engineering

Mr.Ajay Vaibhav Shivaji

Designation: Lecturer

Qualification: B.E. Civil Engineering

Experience: 5 Years

Area of Interest: Surveying & Environmental Engineering

Mr. Tonde Manoj Savaji

Designation: Lecturer

Qualification: M.E. Water Resources Engineering, B.E. Civil

Experience: 7 Years

Area of Interest: Hydraulics & Irrigation Systems

Laboratories

Artificial Intelligence Laboratory – Equipped with tools and frameworks (Python, TensorFlow, PyTorch, Scikit-learn) for developing intelligent systems, machine learning models, and AI applications.

Machine Learning & Data Science Laboratory – Facilities for data preprocessing, visualization, predictive modeling, and deep learning experiments using modern datasets and cloud-based platforms.

Natural Language Processing (NLP) Laboratory – Resources for speech recognition, sentiment analysis, text mining, chatbots, and language modeling projects.

Computer Vision Laboratory – Infrastructure for image processing, video analytics, object detection, and facial recognition using AI-powered tools.

Robotics & Intelligent Systems Laboratory – Hands-on training with AI-enabled robots, sensors, and simulation software for autonomous system development.

Big Data & Cloud Computing Laboratory – Platforms and tools (Hadoop, Spark, AWS, Azure, Google Cloud) for handling large-scale data, distributed computing, and AI integration with cloud technologies.

Quick Links

Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

Curriculum

Artificial Intelligence Laboratory – Equipped with tools and frameworks (Python, TensorFlow, PyTorch, Scikit-learn) for developing intelligent systems, machine learning models, and AI applications.

Machine Learning & Data Science Laboratory – Facilities for data preprocessing, visualization, predictive modeling, and deep learning experiments using modern datasets and cloud-based platforms.

Natural Language Processing (NLP) Laboratory – Resources for speech recognition, sentiment analysis, text mining, chatbots, and language modeling projects.

Computer Vision Laboratory – Infrastructure for image processing, video analytics, object detection, and facial recognition using AI-powered tools.

Robotics & Intelligent Systems Laboratory – Hands-on training with AI-enabled robots, sensors, and simulation software for autonomous system development.

Big Data & Cloud Computing Laboratory – Platforms and tools (Hadoop, Spark, AWS, Azure, Google Cloud) for handling large-scale data, distributed computing, and AI integration with cloud technologies.

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Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

Industry Interaction & Exposure

Industrial visits to leading IT companies, AI startups, and research centers.
Exposure to real-world AI projects in healthcare, finance, automotive, and smart city domains.
Workshops and hands-on training by industry professionals in AI, ML, and Data Science.
Internships with companies specializing in artificial intelligence, machine learning, and big data analytics.

Key Technical Skills Acquired

Strong programming skills in Python, R, and other AI/ML-centric languages.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
Expertise in data preprocessing, visualization, and predictive analytics.
Knowledge of Natural Language Processing (NLP), computer vision, and deep learning techniques.
Ability to design and deploy AI solutions using cloud platforms (AWS, Azure, Google Cloud).

Assessment Strategy

30% Internal Evaluation (Tests, Assignments, Classwork)
30% Practical & Laboratory Assessments
40% Final MSBTE Examination

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Civil Engineering

Mechanical Engineering

Electrical Engineering

Computer Engineering

Artificial Intelligience and Machine Learning

Build Your Career with Ithape Polytechnic

We’re here to guide you every step of the way! Whether you want to know more about our diploma courses, admission process, or campus facilities, our team is ready to help. Just fill out the form below and we’ll connect with you at the earliest.

+91 9767102212

0917principal@msbte.com

Velhale, Sangamner, Dist – A'nagar 422605

Diploma In AI & ML Engineering

About the Department

Our Vision

Our Mission

Program Educational Objectives (PEOs)

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Build Your Career with Ithape Polytechnic