Paramveer Polytechnic College was established in the year 2009 with the vision of providing quality technical education to students from rural and semi-urban backgrounds.
Paramveer Polytechnic College was established in the year 2009 with the vision of providing quality technical education to students from rural and semi-urban backgrounds.
Diploma in Artificial Intelligence and Machine Learning
The Department of Artificial Intelligence & Machine Learning offers a three-year Diploma in AI & ML Engineering. The department aims to develop intelligent systems capable of learning from data and experience to effectively solve real-world problems.
To keep pace with rapid technological advancements, the department equips students with up-to-date knowledge and extensive hands-on training in AI and ML technologies. The program is designed to nurture innovative thinkers who can contribute to the development of cutting-edge AI solutions across diverse application domains.
The Diploma in Artificial Intelligence and Machine Learning is a future-ready program focused on advanced technologies such as deep learning, neural networks, and intelligent data processing.
AI and ML have widespread real-world applications, including facial and speech recognition, predictive analytics, autonomous systems and robotics, and data-driven insights from large bioinformatics datasets. Through project-based learning, laboratory sessions, and practical exposure, students are well-prepared for a wide range of career opportunities in the rapidly evolving technology landscape.
The department offers a well-structured curriculum that balances theoretical foundations with practical implementation. Key courses include:
The Department of AI & ML is equipped with modern laboratories that provide hands-on exposure to real-world AI and ML applications. The laboratory facilities support experiential learning, experimentation, and project development.
Key laboratory facilities include:
Students actively use these laboratories for practical sessions, simulations, project-based learning, and innovation-driven activities, enhancing their technical competence and industry readiness.
To enhance employability and industry readiness, the program provides:
After successful completion of the Diploma in Artificial Intelligence and Machine Learning, students will be able to:
| S.No. | Program Outcome |
|---|---|
| PO1 | Apply mathematics, statistics, and programming fundamentals to solve computing and data-related problems. |
| PO2 | Design, implement, and test programs and simple AI/ML models using appropriate tools and frameworks. |
| PO3 | Interpret data, visualize results, and communicate technical findings effectively. |
| PO4 | Build and evaluate machine learning models for classification, regression, and basic deep learning tasks. |
| PO5 | Work in teams on software and data science projects following professional practices. |
| PO6 | Demonstrate ethical awareness and responsible use of AI and data technologies. |
| PO7 | Document and present project work through reports, code, and oral presentations. |
| PO8 | Engage in lifelong learning and adapt to new tools and technologies in AI/ML. |
| PO9 | Apply problem-solving and analytical skills in real-world industry and project scenarios. |
At the end of the Diploma in Artificial Intelligence and Machine Learning program, students will be able to:
| S.No. | Course Outcome |
|---|---|
| CO1 | Explain fundamental concepts of programming, data structures, and databases. |
| CO2 | Write, debug, and document programs in Python for data and AI applications. |
| CO3 | Apply statistics and probability for data analysis and visualization. |
| CO4 | Build and evaluate machine learning models using standard frameworks. |
| CO5 | Implement basic deep learning and neural network solutions. |
| CO6 | Use NLP or computer vision techniques for simple applications. |
| CO7 | Follow ethical and professional practices in AI and data handling. |
| CO8 | Complete mini projects and internships demonstrating industry readiness. |