Target Audience

This course is designed for Windows infrastructure administrators, solutions architects, and cloud engineers.

COURSE AGENDA

Introduction & Basics

  • Gain a solid understanding of Google Cloud core services and tools, including Compute Engine, Cloud Storage, and networking components.
  • Learn about the different Windows workload options available on Google Cloud and how licensing works for running Microsoft Windows applications in the cloud.

Identity Management

  • Explore how to implement Cloud Identity for Windows workloads and securely manage user access to cloud resources.
  • Understand the process of synchronizing on-premises directories with Google Cloud using Cloud Directory Sync (Cloud DNS).
  • Learn about security best practices for managing Windows workloads in the cloud, including identity management and access control.

VM Migration

  • Discover best practices for planning and executing VM migrations to Google Cloud, including Lift-and-Shift and Replatforming strategies.
  • Learn how to deploy and manage SQL Server on Google Compute Engine, including configuration and management.
  • Explore how to configure high availability for Windows workloads, including failover and disaster recovery strategies.

Automation

  • Understand the benefits of Infrastructure as Code (IaC) and how it simplifies cloud resource management.
  • Gain hands-on experience using Terraform to automate the deployment of Google Cloud resources for Windows workloads.
  • Learn how to use Google Cloud Marketplace to deploy pre-packaged solutions and third-party applications for Windows workloads.

Cost Optimization

  • Learn how to customize virtual machines (VMs) to optimize performance and reduce costs on Google Cloud.
  • Understand how to manage VM images for Windows workloads to streamline deployments and minimize costs.
  • Explore cost-effective alternatives to SQL Server, such as Cloud SQL, for managing database workloads on Google Cloud.

Managed Services

  • Learn how to deploy and manage Cloud SQL for Windows applications, ensuring scalability, security, and availability.
  • Understand how to integrate Microsoft Active Directory (AD) with Google Cloud using Cloud AD for identity and access management.
  • Learn best practices for maintenance and backups of Windows workloads, including automatic updates and disaster recovery planning.

Containerization

  • Discover how to run Windows containers on Google Cloud, enabling portability and scalability for Windows-based applications.
  • Learn how to deploy and manage Windows containers using Google Kubernetes Engine (GKE).
  • Explore how Anthos can be used to migrate and manage Windows workloads in hybrid and multi-cloud environments.

Operations

  • Learn how to monitor and log activities for Windows workloads across the following platforms:
    • Compute Engine
    • Cloud SQL
    • GKE
  • Gain hands-on experience with Google Cloud’s Operations Suite to monitor, troubleshoot, and optimize your Windows workloads.

Other Cloud Architecture programs

Robot Developer Certification

Robot Maintainer Certification

Robot Administrator Certification

Robot Operator Certification

AI Specialization | AI+ Healthcare

AI Development | AI Engineer

AI Development | AI Developer

AI Development | AI Prompt Engineer Level 2

AI Cloud | AI Architect

AI Cloud | AI Cloud

AI Security | AI Security Level 2

AI Security | AI Security Level 3

AI Security | AI Ethical Hacker

AI Security | AI Network

AI Security | AI Security Compliance

Bitcoin & Blockchain | Bitcoin Security

Bitcoin & Blockchain | Blockchain Executive

Bitcoin & Blockchain | Blockchain Developer

AI Security | AI Security Level 1

AI Business | AI Researcher

AI Business | AI Legal

AI Business | AI Finance

AI Business | AI Human Resources

AI Business | AI Product Manager

AI Business | AI Writer

AI Business | AI Customer Service

AI Business | AI Sales

AI Business | AI Marketing

AI Business | AI Project Manager

AI Business | AI Ethics

Bitcoin & Blockchain | Bitcoin+ Executive

Blockchain & Bitcoin | Bitcoin Developer

AI Design & Creative | AI Design

AI Design & Creative | UX Designer

AI Learning & Education | Learning & Development

AI Business | AI Supply Chain

AI Essentials | AI Prompt Engineer Level 1

AI Learning & Education | AI Educator

AI Data & Robotics | AI Quantum

AI Data & Robotics | AI Robotics

AI Business | Chief AI Officer

AI Data & Robotics | AI Data

AI Essentials | AI Everyone

AI Specialization | AI+ Government

AI Essentials | AI Executive

Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Engineering-Google Cloud Fundamentals: Core Infrastructure -3

Machine Learning-Machine Learning on Google Cloud -12

Data Engineering- Data Engineering on Google Cloud -8

Cloud Engineering- Architecting with Google Compute Engine-4

Cloud Engineering- FinOps Foundations-2

Cloud Engineering- Deploying and Managing Windows Workloads on Google Cloud – 1

Business Decision Maker- FinOps Foundations-2

Business Decision Maker- Cloud Digital Leader-1

Business Decision Maker- Business Transformation with Google Cloud – 3

Machine Learning- Google Cloud Fundamentals: Big Data & Machine Learning-11

Machine Learning- Vertex AI Agent Builder-10

Machine Learning- Application Development with LLMs on Google Cloud-9

Machine Learning- Introduction to Developer Efficiency on Google Cloud-8

Machine Learning- Introduction to Responsible AI in Practice -7

Machine Learning- Vertex AI Model Garden -6

Machine Learning- Interactive Chat for Applications Using Gen AI Studio -5

Machine Learning- Developing Data Models with LookML -4

Machine Learning- Text Generation for Applications Using Gen AI Studio -3

Machine Learning- Data Integration with Cloud Data Fusion -2

Machine Learning- Managing Machine Learning Projects with Google Cloud -1

Cloud Networking- Networking in Google Cloud – 3

Cloud Networking- Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Networking- Getting Started with Terraform for Google Cloud – 1

Cloud Security- Networking in Google Cloud – 3

Cloud Security- Security in Google Cloud – 2

Cloud Security- Google Cloud Fundamentals: Core Infrastructure – 1

Cloud DevOps Engineer – Logging, Monitoring and Observability in Google Cloud – 2

Cloud DevOps Engineer – Google Cloud Fundamentals: Core Infrastructure – 1

Data Engineering-From Data to Insights with Google Cloud -9

Data Engineering -Google Cloud Fundamentals: Big Data & Machine Learning – 7

Data Engineering -Migrating Teradata Users to BigQuery – 6

Data Engineering -Enterprise Database Migration – 5

Data Engineering -Data Warehousing with BigQuery: Storage Design, Query Optimisation, and Administration – 4

Data Engineering -Analysing and Visualising Data in Looker -3

Data Engineering -Google Cloud Fundamentals: Core Infrastructure – 2

Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Development -Getting Started with Google Kubernetes Engine – 4

Cloud Development -Developing Applications with Google Cloud – 3

Cloud Development -Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Development -Application Development with Cloud Run – 1

Cloud Architecture -Architecting Hybrid Cloud Infrastructure with Anthos – 8

Cloud Architecture – Preparing for the Professional Cloud Architect Examination-7

Cloud Architecture – Architecting with Google Cloud: Design & Process – 6

Cloud Architecture – Architecting with Google Kubernetes Engine – 5

AI Cloud | AI Architect

Cloud Architecture – Google Cloud Fundamentals: Core Infrastructure – 3

Cloud Architecture – Managing Google Cloud’s Apigee API Platform for Hybrid Cloud – 2

CONTACT US TO START YOUR GOOGLE CLOUD JOURNEY