Cloud Computing Courses and Certifications

Clinical Workflow Automation and AI Integration

Discover how to implement AI-powered automation for clinical workflows using Azure services, from documentation to anomaly detection and quality assurance systems.

• Coursera
• 1 day 18 hours 26 minutes
• Self-Paced
• Paid Course

Cloud SQL for PostgreSQL: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Managing Threat Intelligence with Cortex XSOAR

This is a self-paced lab that takes place in the Google Cloud console. Work on a real life threat hunting scenario to learn how to successfully manage your threat intelligence data with Cortex XSOAR TIM and automate response actions using threat intel ma…

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

Ingesting DICOM Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

BigQuery Machine Learning using Soccer Data

This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Preparing for Your Associate Cloud Engineer Journey

This course helps you structure your preparation for the Associate Cloud Engineer exam.

• edX
• 2 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Amazon DynamoDB Primer

Explore Amazon DynamoDB's non-relational database capabilities, including key-value/wide-column storage, millisecond performance, and seamless AWS integration for scalable, secure, and fully managed data solutions.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Getting Started with AWS Systems Manager

Learn to create secure management solutions for hybrid cloud environments using AWS Systems Manager. Explore key features, benefits, and hands-on implementation through console and CLI demonstrations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: IoT, Machine Learning and Blockchain

Master AWS IoT, Machine Learning, and Blockchain services for building intelligent applications. Explore IoT Core, SageMaker, AI services like Polly and Rekognition, and learn about Managed Blockchain and WorkSpaces solutions.

• Coursera
• 4 hours 38 minutes
• Self-Paced
• Paid Course

Microsoft Power BI Service - Publishing Reports to the Cloud

Master Power BI Service by publishing reports to the cloud, creating workspaces, managing permissions, and collaborating with colleagues through data sharing and security.

• Coursera
• 2 hours 38 minutes
• Self-Paced
• Paid Course

Guided Project: Create and Deploy Your First Kubernetes Pod

Whether you’re a beginner or intermediate developer, in just about one hour you can gain hands-on skills with Kubernetes, one of the world’s most popular an essential system for managing containerized applications.

• edX
• 30 minutes
• Self-Paced
• Free Online Course

Translate Text with the Cloud Translation API

Learn to translate text and detect languages using Google Cloud's Translation API in this hands-on lab, exploring its powerful features for multilingual content processing.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Understanding Cloud Spanner

Learn to create, manage, and optimize Cloud Spanner databases. Explore schema design, API interactions, application integration, and administration tools for scalable relational database solutions on Google Cloud.

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

Coursera

Compare Models with Experiments in Azure ML Studio

Learn to log plots, metrics, and compare machine learning models in Azure ML Studio. Visualize results to choose the best model for your data using Jupyter notebooks and the Azure portal.

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

Building Demand Forecasting with BigQuery ML

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.

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