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danielecolon/README.md

Upcoming Presentations

Azure Machine Learning Series



🎤 Past Presentations

AI

🐧 Azure ML Series (WSL)

Introduction to the core concepts of Azure Machine Learning, including workspaces, datasets, experiments, training, and model deployment. 📦 GitHub

  1. Overview
  1. Data & ETL
  1. Compute & Environments
  1. Modeling & Experimentation
  1. Team Environment & EnterpriseGovernance

CLI

🐧 Windows Subsystem for Linux (WSL)

Learn how to use WSL for cloud engineering, development workflows, containers, and Linux tooling directly from Windows.

💻 Azure CLI

Master Azure from the command line using the Azure CLI for automation, scripting, and infrastructure management.

HPC

⚡ Azure Batch

An introduction to Azure Batch for large-scale parallel workloads, rendering, media processing, and HPC job scheduling.

🧠 Azure CycleCloud

Explore Azure CycleCloud for deploying and managing HPC and AI clusters using Slurm and enterprise-scale schedulers.

Containers

📦 Azure Container Apps

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  1. Azure-Compute-102 Azure-Compute-102 Public

    Introduction to the key Azure Compute Services, including Virtual Machines, Azure App Services, Azure Functions and Azure Kubernetes Services.

  2. Azure-Networking-103 Azure-Networking-103 Public

    Introduction to Azure Networking Services, including Virtual Networks, Application Gateways, Azure DNS, Web Application Firewall and Azure Front Door Services.

  3. Azure-Storage-101 Azure-Storage-101 Public

    Introduction to the different types of storage services offered by Azure, including Blob Storage, File Storage, Queue Storage, and Table Storage.

    1

  4. Azure-ML Azure-ML Public

    Introduction to the core concepts of Azure Machine Learning, including workspaces, datasets, experiments, training, and model deployment.

    PowerShell