Cloud Computing
Showing 1177–1188 of 1383 results
Serverless Compute and API Integration Approaches on AWS
This course will teach you how to evaluate AWS compute services and expose them so they can be consumed within a serverless web application.
Serverless Event-based Application Architecture
This course will teach you the fundamentals of an event-based architecture and introduce you to the services in AWS that support it.
Service Models and Availability Models
This course introduces you to the basics of designing hybrid and distributed cloud solutions.
Service Orchestration and Choreography on Google Cloud
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices.
Setting up a Cloud Solution Environment on Google Cloud
Getting started on any cloud platform can feel cumbersome and overwhelming. There are so many aspects that can consume administrative, engineering, and operations resources. This course will get your project off the ground with Google Cloud.
Setting up Cloud Databases and Tables with Snowflake
This course will teach you how to use Snowflake for creating databases and tables plus using the SQL language for inserting and extracting data in a cloud data warehouse.
Setting Up Satellite Locations and Creating OpenShift Clusters on Satellite
Review the process for setting up an IBM Cloud Satellite location and provisioning an IBM Cloud Managed OpenShift cluster to the location.
Setting up ServiceNow Virtual Agent
This course will teach you what the Virtual Agent is and how to enable and configure it in ServiceNow.
Simple Steps to Building Modern Applications with Docker
Going from the novice to docker container hero
Site Reliability Engineering: Measuring and Managing Reliability
In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget.
Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs. This is the fourth course of the Data Engineering on Google Cloud series.
Solutions for Manage Phase
In this course, you will review solutions, methodologies, and tools for the Manage phase of DevSecOps.