Microsoft Azure Courses and Certifications

Coursera

Serverless Apps in C#: Azure Function Apps

Build and deploy a URL shortening API in C# with Azure Function Apps and Azure Table Storage, creating asynchronous HTTP endpoints and publishing them to the cloud.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Launch a Website with Azure Virtual Machines

Create, configure, and manage Linux and Windows virtual machines in the Azure portal, then build and run a MEAN stack web app on an Azure Linux VM.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Whizlabs

Getting Started with Microsoft Entra

Manage identity and access with Microsoft Entra ID: handle tenants and licenses, assign RBAC roles, set up MFA and passwordless sign-in, and apply Conditional Access, PIM and governance.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Launch a Website to Azure with Azure App Service

Host and scale websites on Azure App Service: publish ASP.NET Core apps from Visual Studio, stage deployments without downtime, and run containers from Container Registry.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Whizlabs

Design solutions with security best practices and priorities

Design secure Microsoft cloud architectures using MCRA, the Cloud Security Benchmark, CAF and Well-Architected pillars, Zero Trust RaMP, and DevSecOps pipelines.

• Coursera
• 2 weeks, 5 hours a week
• Self-Paced
• Paid Course

Clinical Workflow Automation and AI Integration

Automate clinical workflows with Azure AI: extract entities using Text Analytics for Health, classify medical documents, detect anomalies in Power BI, and monitor AI outputs responsibly.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

Microsoft Defender for Cloud Certification

Set up Microsoft Defender for Cloud to secure Azure services: create a Log Analytics workspace, query with KQL, integrate log agents, and implement Azure Key Vault.

• Coursera
• 2 hours 24 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Build, train, and deploy models in Azure ML Studio: supervised and unsupervised learning, data preprocessing, hyperparameter tuning, and MLOps deployment handling model drift and versioning.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Whizlabs

Azure ML: Designing and Preparing Machine Learning Solutions

Design and prepare machine learning solutions on Azure: manage datasets with Data Factory and Synapse, configure Azure ML SDK v2 environments, and plan MLOps deployment and retraining.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

KodeKloud

Azure Administrator: Identity, Governance, and Management

Identity is the new security perimeter: manage Microsoft Entra ID users and groups, design governance with Azure Policy and RBAC, and deploy with ARM templates and Bicep.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

KodeKloud Career Certificate

AZ-104 Azure Administrator Certification Prep

Prepare for the AZ-104 exam by administering Azure: Entra ID, RBAC and Azure Policy, VNETs and VPN gateways, storage and VMs, Azure Backup and Monitor with KQL.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Coursera

Compare Models with Experiments in Azure ML Studio

Log plots and numeric metrics in experiments, train several algorithms in a Jupyter notebook, and compare models to pick the best in Azure Machine Learning Studio.

• Coursera
• 1 hour 26 minutes
• Self-Paced
• Paid Course

Owning the AI Lifecycle in Azure

Coordinate enterprise AI delivery on Azure by evaluating architecture and service choices, interpreting AutoML results and performance metrics, and governing data pipelines, Copilot, and agent deployments.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Cloud Operations and Troubleshooting

Manage cloud environments through centralized logging, monitoring dashboards, patching, automation, and backup, then troubleshoot security, deployment, connectivity, and performance issues with scenario-based Azure demos.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Deploying, Managing, and Experimenting with Models

Deploy and manage machine learning models in Azure ML by registering and logging MLflow models, configuring managed online endpoints, applying Blue-Green deployments, and evaluating Responsible AI dashboards.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course