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Google Cloud Associate Training Course

What the specialist says

Cloud skills age well — this course keeps the focus on real AWS/Azure use-cases.

Priya Nair Cloud Solutions Architect

Acquire Key Cloud Skills: Master Google Cloud, Earn Certification, Launch Your IT Cloud Career! DevLustro Academy has established itself as a leader in Google Cloud education. Our meticulously designed course offers a comprehensive curriculum that prepares participants to navigate the complex landscape of modern cloud computing. Combining theoretical knowledge with practical skills, this course ensures students are well-equipped to manage and deploy cloud solutions effectively. Course was selected for our collection of top-rated courses trusted by businesses worldwide.

Our Core Highlights

World Class Instructor
World Class Instructor Mentorship from global experts
1:1 with Industry Expert
1:1 with Industry Expert Personalised coaching tailored to you
Global Hiring Network
Global Hiring Network 400+ hiring partners around the world
Average Salary Hike
Average Salary Hike 55% average hike for our alumni

Course Description

Acquire Key Cloud Skills: Master Google Cloud, Earn Certification, Launch Your IT Cloud Career! Elysium Academy has established itself as a leader in Google Cloud education. Our meticulously designed course offers a comprehensive curriculum that prepares participants to navigate the complex landscape of modern cloud computing. Combining theoretical knowledge with practical skills, this course ensures students are well-equipped to manage and deploy cloud solutions effectively. Course was selected for our collection of top-rated courses trusted by businesses worldwide.

Google Cloud Associate Training Course

Cybersecurity and Networking Course

Course Details

Globally Recognized Certification.

Harness powerful libraries like NumPy and Pandas for data manipulation and analysis.

Visualize data effectively using Matplotlib and Seaborn.

Implement machine learning algorithms with Scikit-learn.

Explore deep learning techniques with TensorFlow.

Google Cloud provides the infrastructure for scalable and efficient data handling.

Data cleansing on GCP ensures data integrity and eliminates duplicates.

Cloud professionals leverage GCP to derive meaningful insights from data.

GCP serves as the foundation upon which advanced technologies like Artificial Intelligence are built.

Course Goals

  • Master Python fundamentals, including variables, data types, loops, and functions.
  • Dive into advanced concepts such as object-oriented programming (OOP) and error handling.

Our Career Service

  • Personalized coordinator.
  • Trainer feedback.
  • Trainer availability post sessions.
  • Get Your Team Certified.
  • Certificate from governing bodies.

Our Training Program Benefits

  • Real-world Google Cloud Projects.
  • Hands on assignment.
  • Curriculum that focuses on the learner.
  • Live, interactive training by DevLustro experts.
  • Curriculum aligned with current industry practices.
  • Portfolio / project support for real-world use.
01Chapter-1 Setting Up Cloud Projects And Accounts
  • 01.01Creating a resource hierarchy.
  • 01.02Applying organizational policies to the resource hierarchy.
  • 01.03Granting members IAM roles within a project.
  • 01.04Managing users and groups in Cloud Identity (manually and automated).
  • 01.05Enabling APIs within projects.
  • 01.06Provisioning and setting up products in Google Cloud's operations suite.
02Chapter-2 Managing Billing Configuration
  • 02.01Creating one or more billing accounts.
  • 02.02Linking projects to a billing account.
  • 02.03Establishing billing budgets and alerts.
  • 02.04Setting up billing exports.
  • 02.05Installing and configuring the command line interface (CLI) specifically the cloud SDK log setting the default project.
03Chapter-3 Planning And Configuring Compute Mins Resources
  • 03.01Promising and estimating Google Cloud products using the price calculator.
  • 03.02Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions).
  • 03.03Using pre-emptible VMs and custom machine types as appropriate.
04Chapter-4 Planning And Configuring Data Storage Options
  • 04.01Product choice (e.g., Cloud SQL, BigQuery, Firestore, Cloud Spanner, Cloud Bigtable)
  • 04.02Choosing storage options (e.g., Zonal persistent disk, Regional balanced persistent disk, Standard, Nearline, Coldline, Archive)
  • 04.03Types of indexes
  • 04.04Creating index
  • 04.05Retrieving data using index
  • 04.06Dropping sequence
05Chapter-5 Planning And Configuring Network Resources
  • 05.01Differentiating load balancing options
  • 05.02Identifying resource locations in a network for availability
  • 05.03Configuring Cloud DNS
06Chapter-6 Deploying And Implementing Compute Engine Resources
  • 06.01Launching a compute instance using the Google Cloud console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys).
  • 06.02Creating an autoscaled managed instance group using an instance template.
  • 06.03Generating/uploading a custom SSH key for instances.
  • 06.04Installing and configuring the Cloud Monitoring and Logging Agent.
  • 06.05Assessing compute quotas and requesting increases.
07Chapter-7 Deploying And Implementing Google Kubernetes Engine Resourses
  • 07.01Installing and configuring the command line interface (CLI) for Kubernetes (kubectl).
  • 07.02Deploying a Google Kubernetes Engine cluster with different configurations including AutoPilot, regional clusters, private clusters, etc.
  • 07.03Deploying a containerized application to Google Kubernetes Engine
  • 07.04Configuring Google Kubernetes Engine monitoring
08Chapter-8 Deploying And Implementing Cloud Run And Cloud Functions Resources
  • 08.01Deploying an application and updating scaling configuration, versions, and traffic splitting.
  • 08.02Deploying an application that receives Google Cloud events (e.g., Pub/Sub events, Cloud Storage object change notification events).
09Chapter-9 Deploying And Implementing Data Solutions
  • 09.01Initializing data systems with products (e.g., Cloud SQL, Firestore, BigQuery, Cloud Spanner, Pub/Sub, Cloud Bigtable, Dataproc, Dataflow, Cloud Storage).
  • 09.02Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Pub/Sub).
10Chapter-10 Deploying And Implementing Networking Resources
  • 10.01Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC).
  • 10.02Launching 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).
  • 10.03Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, network tags, service accounts).
  • 10.04Creating a VPN between a Google VPC and an external network using Cloud VPN.
  • 10.05Creating 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).
11Chapter-11 Deploying A Solution Using Cloud Marketplace
  • 11.01Browsing the Cloud Marketplace catalog and viewing solution details.
  • 11.02Deploying a Cloud Marketplace solution.
12Chapter-12 Implementing Resources Via Infrastructure As Code
  • 12.01Building infrastructure via Cloud Foundation Toolkit templates and implementing best practices.
  • 12.02Installing and configuring Config Connector in Google Kubernetes Engine to create, update, delete, and secure resources.
13Chapter-13 Managing Compute Engine Resources
  • 13.01Managing a single VM instance (e.g., start, stop, edit the configuration, or delete an instance).
  • 13.02Remotely connecting to the instance.
  • 13.03Attaching a GPU to a new instance and installing necessary dependencies.
  • 13.04Viewing current running VM inventory (instance IDs, details).
  • 13.05Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot).
  • 13.06Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image).
  • 13.07Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group).
  • 13.08Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK).
14Chapter-14 Managing Google Kubernetes Engine Resources
  • 14.01Viewing current running cluster inventory (nodes, pods, services).
  • 14.02Browsing Docker images and viewing their details in the Artifact Registry.
  • 14.03Working with node pools (e.g., add, edit).
  • 14.04Working with pods (e.g., add, edit, or remove pods).
  • 14.05Working with services (e.g., add, edit, or remove a service).
  • 14.06Working with stateful applications (e.g. persistent volumes, stateful sets).
  • 14.07Managing Horizontal and Vertical autoscaling configurations.
  • 14.08Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK, kubectl).
15Chapter-15 Managing Cloud Run Resources
  • 15.01Adjusting application traffic- splitting parameters.
  • 15.02Setting scaling parameters for autoscaling instances.
  • 15.03Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos.
16Chapter-16 Managing Storage And Database Solutions
  • 16.01Managing and securing objects in and between Cloud Storage buckets.
  • 16.02Setting object lifecycle management policies for Cloud Storage buckets.
  • 16.03Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Datastore, CloudBigtable).
  • 16.04Estimating costs of data storage resources.
  • 16.05Backing up and restoring database instances (e.g., Cloud SQL, Datastore).
  • 16.06Reviewing job status in Dataproc, Dataflow, or BigQuery.
17Chapter-17 Managing Network Resources
  • 17.01Adding a subnet to an existing VPC.
  • 17.02Expanding a subnet to have more IP addresses.
  • 17.03Reserving static external or internal IP addresses.
  • 17.04Working with CloudDNS, CloudNAT, Load Balancers, and firewall rules.
18Chapter-18 Monitoring And Logging
  • 18.01Creating Cloud Monitoring alerts based on resource metrics.
  • 18.02Creating and ingesting Cloud Monitoring custom metrics (e.g., from applications or logs).
  • 18.03Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
  • 18.04Configuring log routers.
  • 18.05Viewing and filtering logs in Cloud Logging.
  • 18.06Viewing 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).
  • 18.07Viewing Google Cloud status.
19Chapter-19 Managing Identity And Access Management (Iam)
  • 19.01Viewing IAM policies.
  • 19.02Creating IAM policies.
  • 19.03Managing the various role types and defining custom IAM roles (e.g., primitive, predefined, and custom).
20Chapter-20 Managing Service Accounts
  • 20.01Creating service accounts.
  • 20.02Using service accounts in IAM policies with minimum permissions.
  • 20.03Assigning service accounts to resources.
  • 20.04Viewing audit logs.
  • 20.05Managing IAM of a service account.
  • 20.06Managing service account impersonation.
  • 20.07Creating and managing short-lived tokens.

What is the Google Cloud Associate Course offered by DevLustro Academy?

The Google Cloud Associate Course at DevLustro Academy provides foundational training in Google Cloud Platform (GCP), covering core services, cloud architecture, and security. This course is perfect for those looking to gain expertise in cloud computing with GCP.

What makes DevLustro Academy the best Google Cloud Associate training center near me?

DevLustro Academy stands out for its Google Cloud Associate training due to its comprehensive curriculum, hands-on projects, and expert instructors who ensure you gain practical experience in managing and deploying applications on Google Cloud.

What is the Google Cloud Associate Course?

The Google Cloud Associate Course is a comprehensive training program designed to teach participants the fundamentals of Google Cloud Platform (GCP) and prepare them for the Google Cloud Associate certification.

Who should enroll in the Google Cloud Associate Course?

This course is suitable for IT professionals, developers, system administrators, and anyone interested in learning about cloud computing and Google Cloud Platform.

What will I learn in this course?

Participants will learn about various GCP services including compute, storage, networking, IAM, data services, machine learning, and more. Hands-on labs and projects are included to reinforce learning.

What are the prerequisites for the Google Cloud Associate Course?

There are no strict prerequisites, but familiarity with basic IT concepts and some experience with operating systems, networking, and cloud computing is beneficial.

Is this course certification-oriented?

Yes, the course is designed to prepare participants for the Google Cloud Associate certification exam. It covers all topics included in the certification exam guide.

How will this course benefit my career?

This certification is recognized globally and demonstrates your ability to design, develop, and manage secure, scalable, and reliable cloud solutions using Google Cloud technologies.

Are there any industry-based projects included in the course?

Yes, the course includes hands-on labs and projects that simulate real-world scenarios, allowing participants to apply their knowledge and skills to solve practical problems.

What support will I receive during and after the course?

Participants will have access to experienced instructors, personalized coordinator support, and trainer feedback throughout the course. Post-training support is also available.

Will I receive a certificate upon completion?

Yes, participants will receive a certificate of completion from DevLustro Academy. Additionally, they will be well-prepared to take the Google Cloud Associate certification exam.

How can I enroll in the Google Cloud Associate Course?

You can enroll by visiting the DevLustro Academy website, where you can find more details about the course schedule, fees, and registration process.

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Google Cloud Associate Training Course

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