Enhanced Conceptual Understanding:
Participants gained a strong conceptual grounding in Deep Learning algorithms, architectures, and optimization methods.
Practical Application Insights:
Exposure to real-world use cases helped participants connect theoretical models to actual industrial applications.
Skill Development:
Participants developed hands-on familiarity with frameworks like TensorFlow, Keras, and PyTorch through guided demonstrations.
Interdisciplinary Relevance:
The program highlighted how Deep Learning techniques are transforming various sectors such as healthcare, finance, and smart systems.
Research Orientation:
Faculty members and research scholars received valuable insights into current research trends and publication directions in Deep Learning.
Professional Networking:
The EDP fostered connections between academia and industry, encouraging collaborative projects and mentorship opportunities.
Positive Feedback:
Over 90% of participants rated the sessions as “Excellent” in terms of content clarity, delivery, and usefulness.
Event Highlights:
50 participants joined from across India and Middle East.
Sessions were interactive, including live Q&A and project-oriented discussions.
Participants appreciated the industry-oriented approach and accessible evening schedule.
E-certificates were distributed to all active participants.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.