AI 102 | Microsoft Azure AI Engineer Training at Visualpath

1. Different Deployment Options for Azure AI Models Exploring flexible and scalable AI deployment strategies with Azure for AI developers and IT professionals. www.visualpath.in +91-7032290546

2. Introduction Versatile Deployment Flexible Inference Key Considerations Azure AI offers diverse deployment options for various workloads. Models support real-time, batch, or edge inference needs. Scalability, cost, latency, and security are crucial factors. www.visualpath.in +91-7032290546

3. Azure Machine Learning Endpoints Managed Online Endpoints Batch Endpoints • Fully managed for real-time inference. • Processes large, offline datasets in parallel. • Supports autoscaling and zero-downtime updates. • Eliminates manual infrastructure management. • Ideal for low-latency, high-throughput applications. • Perfect for periodic reporting or large-scale data transformation. www.visualpath.in +91-7032290546

4. Azure Kubernetes Service (AKS) AKS is ideal for production-scale deployments, offering robust features for complex AI workloads. It provides high availability, advanced networking, and fine-grained autoscaling capabilities to handle fluctuating demand. Enterprises choose AKS for scenarios demanding deep customization and precise control over the underlying infrastructure, from GPU utilization to custom network configurations. www.visualpath.in +91-7032290546

5. Azure Container Instances (ACI) ACI is a lightweight, serverless container deployment option for rapid AI model execution. It's best suited for development, testing, or low-traffic scenarios where quick iteration is key. Spin up AI models in seconds without the overhead of managing clusters or VMs. ACI provides a simple, on-demand solution for smaller, self-contained inference tasks. www.visualpath.in +91-7032290546

6. Edge Deployment (Azure IoT Edge) Local Processing Reduced Latency Run AI models directly on IoT edge devices. Minimizes prediction latency and cloud dependency. Diverse Use Cases Offline Capabilities Ideal for industrial IoT, manufacturing, and remote environments. Enables continuous operation even without internet access. www.visualpath.in +91-7032290546

7. Integration with Azure Functions & Logic Apps Logic Apps Azure Functions • Visually design automated workflows. • Deploy AI models as serverless functions. • Integrate models with business processes and systems. • Trigger predictions on-demand by events. • Pay only for execution time, highly cost-effective. • Connect to hundreds of services without writing code. • Ideal for sporadic, event-driven inference. • Automate complex decision-making based on AI insights. www.visualpath.in +91-7032290546

8. Azure Cognitive Services Custom Deployment Extend Azure's prebuilt AI services with custom container support. Deploy services like Vision, NLP, and Speech to on-premises or hybrid environments. This provides unprecedented flexibility for organizations with strict data privacy, compliance, or low-latency requirements, keeping sensitive data closer to its source. www.visualpath.in +91-7032290546

9. Summary & Best Practices Align with Needs Control & Privacy Choose deployment based on real-time vs. batch, and scalability. Consider data privacy, compliance, and infrastructure control needs. Edge Computing Azure's Advantage Utilize edge deployments for low-latency and offline scenarios. Azure offers diverse options for every AI scenario, ensuring flexibility and performance. www.visualpath.in +91-7032290546

10. For More Information About • AZURE AI • Address:- Flat no: 205, 2nd Floor, • Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 • Ph. No: +91-998997107 • www.visualpath.in • online@visualpath.in www.visualpath.in +91-7032290546

11. Thank You www.visualpath.in www.visualpath.in +91-7032290546