Azure Stream Analytics Courses and Certifications

Coursera

Processing IoT Hub data streams with Azure Stream Analytics

23 ratings at Coursera

Create an Azure IoT hub, register a device, stream telemetry from a Raspberry Pi web simulator, and run Stream Analytics queries that store sensor data in Azure Storage.

• Coursera
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Azure Stream Analytics: Implement a Data Streaming Solution

This course focuses on how to implement a data streaming solution using Azure Stream Analytics. Learners will learn about building and deploying a data streaming pipeline with Azure Stream Analytics,

• edX
• 2 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Implement a Data Streaming Solution with Azure Stream Analytics

Implement a Data Streaming Solution with Azure Streaming Analytics

• Microsoft Learn
• 3 hours 2 minutes
• Self-Paced
• Free Online Course

PASS Data Community Summit

Enable Real-time Analytics and Machine Learning with Azure Stream

Explore Azure Stream Analytics for real-time data processing, integrating with Power BI dashboards and Azure ML. Learn to build streaming jobs and implement lambda architecture for data-driven insights.

• YouTube
• 56 minutes
• Self-Paced
• Conference Talk

DP-203 - Data Engineering on Microsoft Azure

13778 ratings at Udemy

Preparation for DP-203 Data Engineering on Microsoft Azure exam

• Udemy
• 21 hours 20 minutes
• Self-Paced
• Paid Course

Azure IoT - The Complete Guide

2297 ratings at Udemy

Become an Azure IoT Expert by learning and practicing all the Azure IoT capabilities from a certified Azure architect

• Udemy
• 13 hours 18 minutes
• Self-Paced
• Paid Course

Coursera

Getting started with Azure IOT Hub

92 ratings at Coursera

Create an Azure IoT hub and device, stream Raspberry Pi simulator telemetry to cloud storage, run a Stream Analytics job, and chart temperature and humidity in Excel online.

• Coursera
• 1 hour 53 minutes
• Self-Paced
• Paid Course

Data Processing with Azure

68 ratings at Coursera

Process big data on Azure: build ETL pipelines with Databricks and Data Factory, apply Stream Analytics windowing functions, and load warehouses via PolyBase ELT.

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

[8 Course BUNDLE]: DP-203: Data Engineering on MS Azure

1132 ratings at Udemy

Practice Test.100% Syllabus covered. DataLake, Databricks, SQL Database, Stream Analytics, Data Factory, Synapse ,Cosmos

• Udemy
• 23 hours 10 minutes
• Self-Paced
• Paid Course

Coursera

Create IoT Solutions in Microsoft Azure

Build an Azure IoT hub, send device-to-cloud and cloud-to-device messages from Visual Studio Code, then persist telemetry via stream analytics jobs and blob storage message routing.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

Microsoft Fabric: Data Governance, Security, and Analytics

Implement governance, security, and real-time analytics in Microsoft Fabric: configure Purview cataloging and lineage, Entra ID and row-level security, EventStreams, Data Activator, and data mirroring.

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

AI & Analytics Operations

Build MLOps pipelines using Azure ML, MLflow, GitHub Actions, and Azure Blob Storage to deploy, monitor, and optimize machine learning systems.

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

Career Certificate

Data Engineer

Master the skills to design and build scalable data pipelines with Microsoft Azure. Learn to integrate, transform, and analyze big data using industry-leading tools like Synapse Analytics, Apache Spar

• edX
• 7 weeks, 1-3 hours a week
• Self-Paced
• $108.00
• 4 courses

Data Engineer

A data engineer integrates, transforms, and consolidates data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. The data enginee

• SWAYAM Plus
• 28 hours
• Self-Paced
• Free Certificate

Implement Real Time Analytics using Azure Stream Analytics

Build a real-time analytics pipeline with Azure Stream Analytics: create an Event Hub, configure stream and reference inputs, write queries, and load results into Azure SQL Database.

• Coursera
• 2-3 hours
• No Longer Offered
• Paid Course