Course Overview:

Are you an Azure System Administrator, Solution Architect, or SysOps Administrator eager to unlock Google Cloud’s potential? Dive into core capabilities across four key pillars: 

  • Networking: Go beyond familiar Azure networking services like VNet and NSG. Explore Google Cloud’s robust VPC platform, master routing configurations, and gain hands-on experience setting up secure networks. 
  • Compute: Leave EC2 behind and embrace Google Compute Engine. Experience powerful alternatives like Google Kubernetes Engine and Cloud Functions for containerized and serverless deployments. 
  • Storage: Understand Google Cloud Storage’s object storage offerings compared to Azure Blob Storage. Deep dive into Cloud Filestore (persistent disk) and Cloud SQL (managed database) for robust storage and database solutions. 
  • Database: Master Cloud SQL, Google’s fully managed relational database service, and discover its similarities and differences with Azure SQL Database. Learn migration strategies and leverage Cloud Spanner for globally distributed deployments.

Google Cloud Fundamentals for Azure Professionals- What You'll Learn:

  • Map Your Azure Knowledge to Google Cloud: with IaaS, PaaS, Databases, Storage, Monitoring and Observability, and Data Analytics knowledge.
  • Hands-on Configuration and Management: Cloud Foundations, Deployment, Scaling, and Application Management competency.
  • Deep Dive into Pricing and Features: Understand pricing models and Explore unique Google Cloud features like serverless options, global network infrastructure, and AI/ML capabilities.

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Google Cloud Fundamentals for Azure Professionals: Key Features:

  • Our Google Cloud Platform training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).

  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).

  • GCP-certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).

  • Well-structured Use Cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.

  • Integrated teaching assistance and support through an experts-designed Learning Management System (LMS) and ExamReady platform.

  • Being an official Google Cloud Platform Training Partner, we offer authored curricula aligned with industry standards.

Who Should Attend this Course, " Google Cloud Fundamentals for Azure Professionals":

  • Individuals planning to deploy applications and create application environments on Google Cloud Platform.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.
  • Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.

Prerequisites:

    To get the most out of this course, participants should have:
  • Have basic proficiency with networking technologies like subnets and routing.
  • Have basic proficiency with command-line tools.
  • Students should have experience with Amazon VPC, Amazon EC2 instances, and disks.
  • Students should be familiar with Amazon S3 and AWS database technologies.

    • Learning objective of the course:

    • Describe the core Google Cloud services across networking, compute, storage, and database.
    • Compare and contrast Google Cloud offerings with their Azure counterparts.
    • Configure fundamental Google Cloud resources, including virtual networks, VMs, storage buckets, and Cloud SQL instances.
    • Navigate the Google Cloud console and utilize essential command-line tools.
    • Identify potential use cases for Google Cloud within your existing infrastructure and applications.

    Why choose CloudThat as a training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience explicitly tailored for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Modules covered in the training program: Download Course Outline

    Topics:

    • Explain the advantages of Google Cloud.
    • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
    • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).

    Topics:

    • Identify the purpose of projects on Google Cloud.
    • Understand how Azure's resource hierarchy differs from Google Cloud's
    • Understand the purpose of and use cases for Identity and Access Management.
    • Understand how Azure AD differs from Google Cloud IAM.

    Activities:

    • List the methods of interacting with Google Cloud Platform.
    • Launch a solution using Cloud Marketplace.

    Topics:

    • Identify the purpose and use cases for Google Compute Engine.
    • Understand the basics of networking in Google Cloud.
    • Understand how Azure VPC differs from Google VPC.
    • Understand the similarities and differences between Azure VM and Google Compute Engine.
    • Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure.

    Activities:

    • Deploy applications using Google Compute Engine.

    Topics:

    • Understand the purpose of and use cases for Cloud Storage, Cloud SQL, Cloud Bigtable, and Cloud Datastore.
    • Understand how Azure Blob compares to Cloud Storage.
    • Compare Google Cloud’s managed database services with Azure SQL.
    • Learn how to choose among the various storage options on Google Cloud.

    Activities:

    • Load data from Cloud Storage into BigQuery.

    Topics:

    • Define the concept of a container and identify uses for containers.
    • Identify the purpose of and use cases for Google Container Engine and Kubernetes.
    • Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine.

    Activities:

    • Provision a Kubernetes cluster using Kubernetes Engine.
    • Deploy and manage Docker containers using kubectl.

    Topics:

    • Understand the purpose of and use cases for Google App Engine.
    • Contrast the App Engine Standard environment with the App Engine Flexible environment.
    • Understand how App Engine differs from Azure App Service.
    • Understand the purpose of and use cases for Google Cloud Endpoints.

    Topics:

    • Understand options for software developers to host their source code.
    • Understand the purpose of template-based creation and management of resources.
    • Understand how Google Cloud Deployment Manager differs from Azure Resource Manager.
    • Understand the purpose of integrated monitoring, alerting, and debugging
    • Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics.

    Activities:

    • Create a Deployment Manager deployment.
    • Update a Deployment Manager deployment.
    • View the load on a VM instance using Google Monitoring.

    Topics:

    • Services in the Google Cloud big data and machine learning platforms.
    • Understand how Google Cloud BigQuery differs from Azure Data Lake.
    • Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus.
    • Understand how Google Cloud’s machine-learning APIs differ from Azure's.

    Activities:

    • Load data into BigQuery from Cloud Storage.
    • Perform queries using BigQuery to gain insight into data.

    Topics:

    • Review the products that make up Google Cloud and remember how to choose among them.
    • Understand next steps for training and certification.
    • Understand, at a high level, the process of migrating from Azure to Google Cloud.

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    Course ID: 19520

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