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Cloud Computing Courses - Page 13
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Internal Load Balancer
This is a self-paced lab that takes place in the Google Cloud console. Internal Load Balancer offers you the possibility to load balance TCP/UDP traffic without exposing your VMs via a public IP to the Internet. In this lab we will create a public-facing web server to serve the result of a simple web application.
Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
Hybrid Cloud Infrastructure Foundations with Anthos
This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.
Managing Peer Authentication with Anthos Service Mesh
This is a self-paced lab that takes place in the Google Cloud console. Architecting Hybrid Infrastructure with Anthos: Adopt service mesh authentication and authorization using Istio
AWS Cloud Technical Essentials
Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!
Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.
AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!
Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.
Google Workspace Admin: Super Admin Account Recovery
This is a Google Cloud Self-Paced Lab. Learn how to add recovery information to your Workspace admin account and reset your admin password.
Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution
This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI cosmetic anomaly detection solution.
Creating Dynamic Secrets for Google Cloud with Vault
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to create dynamic secrets in Vault.
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
Google Cloud Fundamentals for Azure Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
Designing and Querying Bigtable Schemas
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.
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