Become an expert in setting up a cloud solution environment. Enroll now to learn from a Google Cloud engineer.
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4.5/5Course Duration
30 Hrs.Live Project
2 ProjectCertification Pass
GuaranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
250+
Professionals Trained
3+
Batches every month
20+
Countries & Counting
100+
Corporate Served- Google Cloud Platform, aka GCP, is a robust suite of public cloud services from Google. The platform features a range of different services like computing, storage, etc. The services of the cloud platform can be easily accessed by anyone over the internet or via a network connection. The biggest reason behind the ever-increasing popularity of GCP is that it is highly secure and reliable. Moreover, the platform has an uptime of 99.99%.
- Things you will learn:
- The Google Cloud-Associate training program is for upcoming Google Cloud associates who wish to master this robust platform.
- Prerequisites:
- This course is for:
Fundamentals of GCP
Various GCP services
How to deploy apps on GCP
GCP best practices
Different GCP management tools
How to manage GCP resources
How to work on Google Cloud Console
Basic computer knowledge
Basic knowledge about GCP
Passion for learning
Basic knowledge about Google Cloud Platform services
GCP newbies
Aspiring Google Cloud associates
Engineering graduates
AWS solutions architects
Students who wish to clear the Google Cloud Associate exam
Google Cloud-Associate Cloud Engineer
- The Google Cloud-Associate training program will help you become confident in working with different GCP services. Furthermore, you will learn to deploy robust apps on the platform. You will also learn best practices for developing reliable apps on GCP.
- Our Google Cloud- Associate trainers, will help you:
Help students acquire in-depth knowledge of GCP
Help students master GCP fundamentals
Make students comfortable in using Google Cloud Console
Provide in detail knowledge of GCP management tools
Prepare students to clear the Google Cloud Associate exam
Make students comfortable in deploying robust apps on GCP
Provide in-depth knowledge about the Google Cloud platform
Help students learn the fundamentals of GCP
Help students learn about the vital duties of a Google Cloud Associate
Become competent in working with GCP services.
Learn how to utilize GCP management tools.
Become an expert in configuring/managing GCP services.
Understand the responsibilities of a Google Cloud Associate.
Become a competent Google Cloud Associate.
Understand how to deploy apps with GCP.
Understand GCP best practices.
- Demand for competent Google Cloud associates is increasing with each passing day. This is largely due to an increase in the adoption rate of GCP in the market. According to popular job sites such as Naukri and Indeed, a Google Cloud-Associate earn a lot of money by providing his services to a company.
- As per Ambition Box, a Google Cloud-Associate can earn approx. 2,00,000 LPA to 4,00,000 per year as a fresher. On the other hand, a Google Cloud-Associate with experience can earn around 12,70,000 to 15,00,000 per year.
- After doing the Google Cloud Associate training program, students can get lots of job opportunities in the cloud computing industry. Moreover, you can earn a hefty amount of money by providing your services to a company. In short, becoming a Google Cloud-Associate can be very beneficial for you.
- Roles that you can take after doing Google Cloud Associate training:
- The demand for competent Google Cloud-Associates is expected to further increase in the coming years. As a result, there will be a huge demand for skilled Google Cloud-Associate engineers in the market. Thus, if you wish to pursue your career in an industry that offers lots of growth and advancement opportunities, then you should definitely pursue your career in the cloud computing industry.
Google Cloud Engineer
Google Cloud Developer
GCP trainer
Google Cloud-Associate engineer
- There is a significant increase in the number of firms using Google Cloud Platform for deploying their apps. This is largely due to the fact that the platform comes with an uptime of 99.99%, which means you wont face any problem if you use the platform for deploying your apps. Furthermore, you can also save a lot of money by using GCP.
- Here are a few reasons why Google Cloud is so much in demand:
Highly reliable
Easy to adapt
Unmatched security
Enhances firms productivity
Reduces chances of breaches
- A Google Cloud-Associate engineer plays a very critical role in a company. He deploys apps on the GCP and manages them. Moreover, he uses Google Cloud Console for doing platform-based tasks. In short, a Google Cloud-Associate performs lots of important duties and responsibilities in an organization and is a very important part of a company.
- Key responsibilities of a Google Cloud Associate Engineer:
Setup GCP environment
Deploy apps on Google Cloud Platform
Configure cloud solutions
Configure GCP access and security
Mentor team members
Ensure cloud solutions keep working without any problem
- A Google Cloud-Associate engineer plays a very critical role in a company. He deploys apps on the Google Cloud Platform and monitors them. Moreover, he is responsible for setting up access and security options on the GCP. In short, a Google Cloud-Associate plays a very critical role in an organization. This is the main reason why Google Cloud-Associate engineers charge hefty fees for their services.
- Top hiring companies for Google Cloud-Associate engineers:
Baseware
RWS
Maersk
JPMorgan Chase Bank
Accenture
IBM
- After completing the Google Cloud-Associate training program, you will get an industry-recognized training certificate issued by Croma Campus. The certification will help you validate your competency as a Cloud-Associate engineer and GCP expert. In addition to that, we will provide you services such as:
- Advantages of getting certification:
- Know More About Associate Cloud Engineer Certifications: Click Here
100% placement support
Interview grooming sessions
Resume preparation
Access to our job website
Recognized certification
Hefty remuneration
Help you show your proficiency as a Google Cloud-Associate engineer
Why Should You Do Google Cloud Associate Certification Training?
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Plenary for Google Cloud-Associate Cloud Engineer
| Track | Week Days | Weekends | Fast Track |
|---|---|---|---|
| Course Duration | 40-45 Days | 7 Weekends | 8 Days |
| Hours | 1 Hrs. Per Day | 2 Hrs. Per Day | 6+ Hrs. Per Day |
| Training Mode | Classroom/Online | Classroom/Online | Classroom/Online |
Course Price at :
Program fees are indicative only* Know more
Program Core Credentials
Trainer Profiles
Industry Experts
Trained Students
10000+
Success Ratio
100%
Corporate Training
For India & Abroad
Job Assistance
100%
BATCH TIMINGS
Google Cloud-Associate Cloud Engineer Upcoming Batches
WEEKDAY
25-Nov-2024*
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FASTRACK
03-Dec-2024*
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WEEKDAY
27-Nov-2024*
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WEEKDAY
05-Dec-2024
Take class during weekdays and utilize your weekend for practice.
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23-Nov-2024
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WEEKEND
30-Nov-2024*
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Get Intensive coaching in less time
Get Proper guidance on certifications.
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CURRICULUM & PROJECTS
Google Cloud-Associate Cloud Engineer
- Setting up cloud projects and accounts. Activities include
Creating projects
Assigning users to predefined IAM roles within a project
Managing users in Cloud Identity (manually and automated)
Enabling APIs within projects
Provisioning one or more Stackdriver workspaces
- 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 to estimate daily/monthly charges
- Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project)
- Planning and estimating GCP product use using the Pricing Calculator
- Planning and configuring compute resources. Considerations include:
Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)
Using preemptible VMs and custom machine types as appropriate
- Planning and configuring data storage options. Considerations include:
Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)
- Planning and configuring network resources. Tasks include:
Differentiating load balancing options
Identifying resource locations in a network for availability
Configuring Cloud DNS
- Deploying and implementing Compute Engine resources. Tasks include:
Launching a compute instance using 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
Configuring a VM for Stackdriver monitoring and logging
Assessing compute quotas and requesting increases
Installing the Stackdriver Agent for monitoring and logging
- Deploying and implementing Google Kubernetes Engine resources. Tasks include:
Deploying a Google Kubernetes Engine cluster
Deploying a container application to Google Kubernetes Engine using pods
Configuring Google Kubernetes Engine application monitoring and logging
- Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:
Deploying an application, updating scaling configuration, versions, and traffic splitting
Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)
- Deploying and implementing data solutions. Tasks include:
Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)
Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)
- Deploying and implementing networking resources. Tasks include:
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, 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)
- Deploying a solution using Cloud Marketplace. Tasks include:
Browsing Cloud Marketplace catalog and viewing solution details
Deploying a Cloud Marketplace solution
- Deploying application infrastructure using Cloud Deployment Manager. Tasks include:
Developing Deployment Manager templates
Launching a Deployment Manager template
- Managing Compute Engine resources. Tasks include:
Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)
SSH/RDP to the instance
Attaching a GPU to a new instance and installing CUDA libraries
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., Cloud Console, Cloud Shell, GCloud SDK)
- Managing Google Kubernetes Engine resources. Tasks include:
Viewing current running cluster inventory (nodes, pods, services)
Working with node pools (e.g., add, edit, or remove a node pool)
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)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
- Managing App Engine and Cloud Run resources. Tasks include:
Adjusting application traffic splitting parameters
Setting scaling parameters for autoscaling instances
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
- Managing storage and database solutions. Tasks include:
Moving objects between Cloud Storage buckets
Converting Cloud Storage buckets between storage classes
Setting object life cycle management policies for Cloud Storage buckets
Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)
Estimating costs of a BigQuery query
Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)
Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
- 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 management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
- Monitoring and logging. Tasks include:
Creating Stackdriver alerts based on resource metrics
Configuring log sinks to export logs to external systems (e.g., onpremises or BigQuery)
Viewing specific log message details in Stackdriver
Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-intime)
Viewing Google Cloud Platform status
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
- Managing identity and access management (IAM). Tasks include:
Viewing IAM role assignments
Assigning IAM roles to accounts or Google Groups
Defining custom IAM roles
- Managing service accounts. Tasks include:
Managing service accounts with limited privileges
Assigning a service account to VM instances
Granting access to a service account in another project
- Viewing audit logs for project and managed services.
Mock Interviews
Projects
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+918287060032self assessment
Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals
FAQ's
- Basic computer knowledge
- Basic knowledge about GCP
- Passion for learning
- Basic knowledge about Google Cloud Platform services
You can complete Google Cloud-Associate training in 35-45 days
You can earn around ₹4,00,000 – ₹15,00,00 PA.
- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
If yes, Register today and get impeccable Learning Solutions!
Google Associate Cloud Engineer (GCP)
Google Associate Cloud Engineer Exam focuses to develop hands-on skills needed to set up and manage Google Cloud (GCP) applications and become a Google Certified Associate Cloud Engineer. An Associate Cloud Engineer deploys applications, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics.
Multiple Choice and Multi-Response Questions
Proctored Exam
$125 USD
120 Minutes
50 Questions
70% and above
Training Features
Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Training Certification
Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
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Testimonials & Reviews
Hi, my name is Vivek Aggrawal, Currently, I am associated with Aptron Technologies. I got out of this job opportunity after completing my Google Cloud Certification Course from Croma Campus Pvt. Ltd. In the training period, I have got
Read More...Vivek Aggrawal
Aptron Technologies
I have completed my Google Cloud-Associate Cloud Engineer training from Croma Campus. And I can assure you that Croma Campus is the best training institute for Google Cloud training. They provide high-quality training which will help y
Read More...Inaya
I completed the Google Cloud-Professional data engineering training program from Croma Campus last month. My experience has been very positive with these people. With their help and support, I have got placed as a cloud computing exper
Read More...Diya
Hi, I am Mayank Sharma from Jaipur. This course is most demanded in the industry. Croma Campus has structured the course very well. This course helps me in making me knowledgeable and skillable. The trainer is very upgraded with the te
Read More...Mayank Sharma
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