
AI to Application: Hands-On Workshop on Deep Learning Model Development and Deployment 2026
Learn. Build. Deploy. Transform Ideas into AI Applications.
Hosted by Kongu Engineering College
Follow organizationMEET YOUR MOMENT.
About the event
AI to Application: Hands-On Workshop on Deep Learning Model Development and Deployment is a one-day technical workshop organized by the Department of Artificial Intelligence and Data Science & Artificial Intelligence and Machine Learning, Kongu Engineering College.
The workshop provides participants with practical, hands-on experience in the complete Deep Learning workflow, from dataset preparation and image preprocessing to model training, evaluation, performance improvement, and deployment.
Participants will learn CNN fundamentals, image classification using transfer learning, data augmentation, model evaluation techniques, fine-tuning pretrained models, and deployment using Streamlit. The workshop focuses on building a real-world Deep Learning application and understanding how an AI model can be transformed into a usable application.
The event is designed for engineering and science students, faculty members, researchers, and AI enthusiasts who have basic knowledge of Python and Machine Learning.
Participants will receive learning materials, source code, certificate, lunch, and refreshments.
Build. Train. Evaluate. Deploy. — Master Deep Learning End-to-End!
Events & highlights
Deep Learning Workshop | Image Classification | Model Development | Model Evaluation | Transfer Learning | Fine-Tuning | Streamlit Deployment | Hands-on AI Project
Meet the organizer
Explore Kongu Engineering College ↗Event type details
Workshop
Event Theme
Deep Learning & AI Application Development
Workshops
Deep Learning Fundamentals, CNN, Image Classification, Dataset Preparation, Model Training, Model Evaluation, Transfer Learning, Fine-Tuning, Data Augmentation, Streamlit Deployment
Paper Presentation Topics by Branch
N/A – This is a Hands-on Technical Workshop
Registration deadline / Important dates
No End Date.
Registration Fees
₹354 per participant (Including GST)
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