Programmes
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
PG Diploma In Artificial Intelligence and Machine Learning
Indian Students
Minimum 50% aggregate score in any stream of graduation or equivalent from Govt. Approved Institution (For PG Diploma in Regulatory Affairs Life Sciences as a subject in graduation & two years of relevant industry Experience is also required)
International Students
Minimum 50% aggregate score in graduation or equivalent from Govt. Approved Institution
- 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