Join us for a hands-on public lecture where we’ll walk through the complete journey of taking a trained Artificial Intelligence or Machine Learning model and making it available as a production-ready cloud service.

This session is designed for students, developers, and AI enthusiasts who want to understand how to move from model training on local machines to serving models through scalable cloud environments.

💡 You’ll Learn:

• The full workflow of taking a machine learning model from local experimentation to deployment.

• How cloud-native technologies like containers and APIs make model deployment easier, faster, and more reliable.

• Practical insights on integrating deployed models into real-world applications.

🧠 Topics to Be Covered:

• Serving the model via an API

• Containerizing your Model API

• Testing the Model API on GPU/TPU environments

• Deploying the Model API to the Cloud

Hosted by Cloud Native Kampala