Learn how to deploy a highly scalable AI application on Azure Cloud in this comprehensive 10-minute video tutorial. Discover the step-by-step process of setting up a robust infrastructure, from creating repositories and building container images to implementing CI/CD pipelines and deploying to Kubernetes. Master essential techniques for load balancing, monitoring with Prometheus, and securing your application with Let's Encrypt SSL certificates. Gain insights into using tools like Terraform, Helm Charts, and Docker for efficient cloud deployment. Whether you're scaling up for increased user demand or migrating from another cloud platform, acquire the knowledge to create a resilient, high-performance AI application infrastructure.
How to Make Your AI Application Highly Scalable - Azure Cloud Deployment Guide
Overview
Syllabus
Introduction
Overview of AI Application Deployment
Setting Up Repositories and Containers
Creating and Managing Pipelines
Building the Kubernetes Cluster
Deploying Container Images
Monitoring and Load Balancing
Securing with Let's Encrypt
Auto Scaling and Cost Efficiency
Conclusion and Next Steps
Taught by
Mervin Praison
