AI & ML Faculty Development Program (FDP)
AI & ML Faculty Development Program (FDP)
Programme Starts
1st July 2026 Weekdays 7:30 - 9 AM
4th July 2026 Weekends 10AM - 1PM
Duration
5-10 Days
Programme Fees
₹45000 + GST
Expert-Led Sessions by AI & ML Professionals
Hands-On Labs & Practical Learning
Research-Oriented Guidance & Publications
Customizable Modules for Institutions
Certification for NAAC/NBA Accreditation
Empowering Educators for the Future of Learning
AI and ML are reshaping industries and education. Our FDP empowers faculty with practical skills, tools, and knowledge to effectively teach, mentor, and guide students, bridging the gap between academic concepts and real-world AI & ML applications.
Through hands-on labs, research guidance, and curriculum integration, faculty members enhance teaching capabilities, research output, and industry relevance.
Course Curriculum
Tools & Frameworks Covered
Python
NoSQL
MySQL
Power BI
Spark
NLP
AI Applications
Training Options
Attend live online sessions with interactive workshops and hands-on labs from anywhere.
For queries, contact via Call/WhatsApp +91 9963492139 or email cnu.jilla@gmail.com
Request More Information
Upcoming Batches
Zoom Meeting Details
Why Choose This FDP
Enhance AI & ML teaching and research skills.
Hands-on labs using industry tools and frameworks.
Integrate AI & ML into curriculum effectively.
Support for research publications and projects.
FDP certificate recognized by industry and academia.
Who Can Enroll?
Faculty members from technical, management, commerce, and life sciences domains aiming to enhance AI & ML teaching and research.
Faculty from CS, IT, ECE, EEE, Mechanical, Civil, etc.
Educators from management, commerce, and life sciences.
Academic leaders, HoDs, and coordinators revamping AI/ML curriculum.
Job opportunities
Key Highlights of Vijanaar Data Science Program
Certificate recognized by industry and academia; supports NAAC/NBA accreditation.
Customizable modules tailored to institutional requirements.
Research-oriented guidance for publications, patents, and applied projects.
Hands-on labs using Python, TensorFlow, Keras, PyTorch, and Scikit-Learn.
Expert-led sessions by faculty with academic & industry experience.
Programme starts
1st July 2026 Weekdays 7:30 - 9 AM
4th July 2026 Weekends 10AM - 1PM