Google Cloud Engineer Associate Training in Delhi Noida

• How to start the journey of becoming a Google Cloud Certified Associate Cloud Engineer?
• How to work with networking, storage, and database services on the Google Cloud Platform?
• How to understand the best practices for building secure and reliable applications on the Google Cloud Platform?
• How to deploy secure applications on the Google Cloud Platform?
• How to deploy and secure applications?
• How to deploy and secure infrastructure?
• How to monitor the operations of multiple projects?
• How to ensure that the enterprise solutions meet target performance
• metrics?
• How to use Google Cloud Console and the command-line interface?

• Recorded Videos After Training
• Digital Learning Material
• Course Completion Certificate
• 24x7 After Training Support

• IT professionals interested in starting Cloud Journey with Google Cloud Platform Engineer
• IT professionals willing to become a Google Cloud Certified Associate Cloud Engineer

• You are not supposed to carry any defined set of prerequisites to pursue this Google Cloud Engineer Associate Course. An active debit or credit card is all you need to create your Google Cloud Platform account.

• Multisoft Systems will provide you with a training completion certificate after completing this Google Cloud Engineer Associate Training.

Module 1: Setting up a cloud solution environment

Setting up cloud projects and accounts. Activities include:

• Creating a resource hierarchy
• Applying organizational policies to the resource hierarchy
• Granting members IAM roles within a project
• Managing users and groups in Cloud Identity (manually and automated)
• Enabling APIs within projects
• Provisioning and setting up products in Google Cloud’s operations suite

Managing billing configuration. Activities include:

• Creating one or more billing accounts
• Linking projects to a billing account
• Establishing billing budgets and alerts
• Setting up billing exports
• Installing and configuring the command-line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).

Module 2. Planning and configuring a cloud solution

• Planning and estimating Google Cloud product use using the Pricing Calculator
• Planning and configuring compute resources. Considerations include:
• Selecting appropriate compute choices for a given workload 
• Using preemptible VMs and custom machine types as appropriate

Planning and configuring data storage options. Considerations include:

• Product choice 
• Choosing storage options 

2.4 Planning and configuring network resources. Tasks include:

• Differentiating load balancing options
• Identifying resource locations in a network for availability
• Configuring Cloud DNS

Module 3: Deploying and implementing a cloud solution

3.1 Deploying and implementing Compute Engine resources. Tasks include:

• Launching a compute instance using Cloud Console and Cloud SDK (gcloud) 
• Creating an autoscaled managed instance group using an instance template
• Generating/uploading a custom SSH key for instances
• Installing and configuring the Cloud Monitoring and Logging Agent
• Assessing compute quotas and requesting increases

3.2 Deploying and implementing Google Kubernetes Engine resources. Tasks include:

• Installing and configuring the command-line interface (CLI) for Kubernetes (kubectl)
• Deploying a Google Kubernetes Engine cluster with different configurations including AutoPilot, regional clusters, private clusters, etc.
• Deploying a containerized application to Google Kubernetes Engine
• Configuring Google Kubernetes Engine monitoring and logging

3.3 Deploying and implementing Cloud Run and Cloud Functions resources. Tasks include, where applicable:

• Deploying an application and updating scaling configuration, versions, and traffic splitting
• Deploying an application that receives Google Cloud events 

3.4 Deploying and implementing data solutions. Tasks include:

• Initializing data systems with products 
• Loading data 

3.5 Deploying and implementing networking resources. Tasks include:

• Creating a VPC with subnets 
• Launching a Compute Engine instance with custom network configuration 
• Creating ingress and egress firewall rules for a VPC 
• Creating a VPN between a Google VPC and an external network using Cloud VPN
• Creating a load balancer to distribute application network traffic to an application 

3.6 Deploying a solution using Cloud Marketplace. Tasks include:

• Browsing the Cloud Marketplace catalog and viewing solution details
• Deploying a Cloud Marketplace solution

3.7 Implementing resources via infrastructure as code. Tasks include:

• Building infrastructure via Cloud Foundation Toolkit templates and implementing best practices
• Installing and configuring Config Connector in Google Kubernetes Engine to create, update, delete, and secure resources

Module 4: Ensuring successful operation of a cloud solution

4.1 Managing Compute Engine resources. Tasks include:

• Managing a single VM instance 
• Remotely connecting to the instance
• Attaching a GPU to a new instance and installing necessary dependencies
• Viewing current running VM inventory 
• Working with snapshots 
• Working with images 
• Working with instance groups 
• Working with management interfaces 

4.2 Managing Google Kubernetes Engine resources. Tasks include:

• Viewing current running cluster inventory 
• Browsing Docker images and viewing their details in the Artifact Registry
• Working with node pools 
• Working with pods 
• Working with services 
• Working with stateful applications 
• Managing Horizontal and Vertical autoscaling configurations
• Working with management interfaces 

4.3 Managing Cloud Run resources. Tasks include:

• Adjusting application traffic-splitting parameters
• Setting scaling parameters for autoscaling instances
• Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos

4.4 Managing storage and database solutions. Tasks include:

• Managing and securing objects in and between Cloud Storage buckets
• Setting object life cycle management policies for Cloud Storage buckets
• Executing queries to retrieve data from data instances 
• Estimating costs of data storage resources
• Backing up and restoring database instances 
• Reviewing job status in Dataproc, Dataflow, or BigQuery

4.5 Managing networking resources. Tasks include:

• Adding a subnet to an existing VPC
• Expanding a subnet to have more IP addresses
• Reserving static external or internal IP addresses
• Working with CloudDNS, CloudNAT, Load Balancers and firewall rules

4.6 Monitoring and logging. Tasks include:

• Creating Cloud Monitoring alerts based on resource metrics
• Creating and ingesting Cloud Monitoring custom metrics 
• Configuring log sinks to export logs to external systems 
• Configuring log routers
• Viewing and filtering logs in Cloud Logging
• Viewing specific log message details in Cloud Logging
• Using cloud diagnostics to research an application issue 
• Viewing Google Cloud status

Module 5: Configuring access and security

5.1 Managing Identity and Access Management (IAM). Tasks include:

• Viewing IAM policies
• Creating IAM policies
• Managing the various role types and defining custom IAM roles 

5.2 Managing service accounts. Tasks include:

• Creating service accounts
• Using service accounts in IAM policies with minimum permissions
• Assigning service accounts to resources
• Managing IAM of a service account
• Managing service account impersonation
• Creating and managing short-lived service account credentials

5.3 Viewing audit logs