Building Serverless Intelligent Apps with Flex Consumption and GPUs

Overview

Master building high-performance serverless applications using Azure Functions Flex Consumption and Container Apps for AI workloads with GPU support and event-driven scalability.

Syllabus

• Introduction to Serverless Architecture
Overview of Serverless Computing
Advantages of Serverless for AI Workloads
• Understanding Azure Functions
Azure Functions Core Concepts
Function Triggers and Bindings
• Introduction to Flex Consumption Plans
Flex Consumption Model Explained
Cost Management and Billing
• Introduction to Azure Container Apps
Container App Basics
Deploying Container Apps
• GPU Support in Azure
Importance of GPUs in AI Workloads
Provisioning and Managing GPUs in Azure
• Building AI Workloads with Azure Functions
Setting Up AI Models for Serverless Environments
Integrating AI Models into Azure Functions
• Event-Driven Scalability
Understanding Event-Driven Architectures
Implementing Event-Driven Workloads with Azure Functions and Container Apps
• Designing High-Performance Serverless Applications
Optimizing Code for Serverless Execution
Best Practices for Serverless Application Design
• Hands-on Labs
Deploying a Serverless AI App with Azure Functions
Implementing GPU-Accelerated Workloads using Container Apps
• Monitoring and Troubleshooting
Monitoring Tools for Azure Functions and Container Apps
Troubleshooting Common Issues
• Case Studies and Real-World Applications
Review of Successful Serverless AI Applications
Lessons Learned from Implementations
• Conclusion and Next Steps
Recap of Key Concepts
Resources for Further Learning

Subjects

Programming