Expert in Oracle PL SQL Training Crash Course
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Elevate Academy is a recognized leader in cloud education, offering a cutting-edge course on Google Cloud Platform (GCP) designed to equip learners with both foundational and advanced skills. This comprehensive program combines theoretical insights with real-world application, preparing participants to effectively deploy, manage, and optimize cloud solutions in today’s fast-evolving digital environment.
This program is part of Elevate Academy’s elite course offerings and is widely adopted by global organizations for upskilling their teams in cloud computing and data technologies.
The Google Cloud Associate Program at Elevate Academy provides a structured pathway for learners to master the fundamentals and advanced features of the Google Cloud Platform (GCP). Through expert-led sessions, students will gain hands-on experience working with cloud tools that support application development, infrastructure management, and data operations. Graduates of this program will be well-positioned to take on practical challenges in cloud-based environments.
This course aims to make participants proficient in core cloud computing concepts and their application within the Google Cloud ecosystem. Learners will gain a strong grasp of compute, storage, and networking services offered by GCP, along with advanced capabilities such as Identity and Access Management (IAM), cloud-native application deployment, and scalable data solutions. The program also prepares students for industry certification, enhancing their career prospects in cloud engineering, DevOps, and data infrastructure roles.
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.
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 log setting the default project.
Promising and estimating Google Cloud products using the price calculator.
Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions).
Using pre-emptible VMs and custom machine types as appropriate.
Product choice (e.g., Cloud SQL, BigQuery, Firestore, Cloud Spanner, Cloud Bigtable)
Choosing storage options (e.g., Zonal persistent disk, Regional balanced persistent disk, Standard, Nearline, Coldline, Archive)
Types of indexes
Creating index
Retrieving data using index
Dropping sequence
Differentiating load balancing options
Identifying resource locations in a network for availability
Configuring Cloud DNS
Launching a compute instance using the Google Cloud console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys).
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.
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
Deploying an application and updating scaling configuration, versions, and traffic splitting.
Deploying an application that receives Google Cloud events (e.g., Pub/Sub events, Cloud Storage object change notification events).
Initializing data systems with products (e.g., Cloud SQL, Firestore, BigQuery, Cloud Spanner, Pub/Sub, Cloud Bigtable, Dataproc, Dataflow, Cloud Storage).
Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Pub/Sub).
Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC).
Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags).
Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, network tags, service accounts).
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 (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer).
Browsing the Cloud Marketplace catalog and viewing solution details.
Deploying a Cloud Marketplace solution.
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.
Managing a single VM instance (e.g., start, stop, edit the configuration, or delete an instance).
Remotely connecting to the instance.
Attaching a GPU to a new instance and installing necessary dependencies.
Viewing current running VM inventory (instance IDs, details).
Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot).
Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image).
Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group).
Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK).
Introduction
Input 110-120 VAC vs. 220-240 VAC
Output 3.3V vs. 5V vs. 12V
20-pin to 24-pin motherboard adapter
Redundant power supply
Modular power supply
Wattage rating
Viewing current running cluster inventory (nodes, pods, services).
Browsing Docker images and viewing their details in the Artifact Registry.
Working with node pools (e.g., add, edit).
Working with pods (e.g., add, edit, or remove pods).
Working with services (e.g., add, edit, or remove a service).
Working with stateful applications (e.g. persistent volumes, stateful sets).
Managing Horizontal and Vertical autoscaling configurations.
Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK, kubectl).
Adjusting application traffic- splitting parameters.
Setting scaling parameters for autoscaling instances.
Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos.
Managing and securing objects in and between Cloud Storage buckets.
Setting object lifecycle management policies for Cloud Storage buckets.
Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Datastore, CloudBigtable).
Estimating costs of data storage resources.
Backing up and restoring database instances (e.g., Cloud SQL, Datastore).
Reviewing job status in Dataproc, Dataflow, or BigQuery.
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.
Creating Cloud Monitoring alerts based on resource metrics.
Creating and ingesting Cloud Monitoring custom metrics (e.g., from applications or logs).
Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
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 (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time).
Viewing Google Cloud status.
Viewing IAM policies.
Creating IAM policies.
Managing the various role types and defining custom IAM roles (e.g., primitive, predefined, and custom).
Creating service accounts.
Using service accounts in IAM policies with minimum permissions.
Assigning service accounts to resources.
Viewing audit logs.
Managing IAM of a service account.
Managing service account impersonation.
Creating and managing short-lived tokens.
Build a strong foundation in networking by mastering key concepts, architectures, and protocols essential for IT professionals.
Strengthen your practical knowledge through live, hands-on lab exercises designed to reflect real-world networking environments.
Get ready for the CompTIA Network+ (N10-008) certification—an internationally respected credential validating your expertise in network operations.
Benefit from individualized guidance and mentorship from experienced trainers and coordinators throughout your learning journey.
Prepare for careers such as network technician, IT support specialist, or network administrator by acquiring job-ready networking skills.
Explore critical network security strategies, protocols, and industry best practices to protect systems against evolving cyber threats.
June 13, 2025In today’s fast-paced digital world, the demand for skilled software professionals is higher than ever. Whether you’re a student aiming…
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