PG Diploma in Artificial Intelligence and Machine Learning
The PG Diploma in Artificial Intelligence and Machine Learning (PGAIML) programme at MIT-WPU is designed to give students a strong foundation in the principles and applications of AI and ML across a variety of fields. Through hands-on learning, case studies, and industry-oriented assignments, students become proficient in a range of AI and ML topics, including artificial neural networks, deep learning, natural language processing, concurrent neural networks, machine learning algorithms, and data intelligence and analysis. The programme also provides students with access to state-of-the-art labs, including the AI and Machine Learning Laboratory, the NVIDIA Lab, and the IBM Research Lab, where they can work with cutting-edge tools and technologies. Students are trained through interactive learning methods and collaborations with industry experts, and upon completion of the programme, they can pursue careers as artificial intelligence engineers, blockchain analysts, machine learning engineers, cloud architects, big data scientists, and more.
Major Tracks- Machine Learning Algorithms
- Artificial Neural Networks
- Deep Learning.
- Natural Language Processing
- Data Intelligence and Analytics. Concurrent Neural Networks
Applications Open for 2025
PG Diploma in Artificial Intelligence and Machine Learning
B.E., B.Tech., M.E., M.Tech. in any engineering branch with 50% marks (45% marks in case of candidates of reserved class categories and persons with disability belonging to Maharashtra State only).
OR
BCA / B.Sc / MCA / M.Sc. with 50% marks (45% marks in case of candidates of reserved class categories and persons with disability belonging to Maharashtra State only). And Studied Mathematics/ Electronics/ Computer Science/ Information Technology as one of the subjects at (10+2) level or at Graduate level examination.
The selection process for the programme is based on MIT-WPU CET PI (Personal Interaction) 2025 score.
(The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
*Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.
- Highly adaptable model of blended learning
- Project based learning approach
- Innovative curriculum created in collaboration with faculty and industry experts from Texas Instruments, NVIDIA, ATMEL, Tata Elxsi, Agiliad, DRDO, CDAC, and others.
- Hands-on experience using in-demand AI and ML technologies, helping them to develop the skills and knowledge needed to solve real-world problems in the industry.
- Collaboration on projects with leading IT companies such as Infosys, TCS, Microsoft, Amdocs, Accenture, Cognizant, ThoughtWorks, and others
- A dedicated Center for Industry-Academia Partnerships, which helps students to secure jobs by collaborating with top employers and supporting them through structured assessments, training, and grooming activities
admissions@mitwpu.edu.in 
