2. Google Cloud [GCP] Professional Cloud Developer

Google Cloud [GCP] Professional Cloud Developer Training Institute & Certification Exam Center

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The Google Cloud Professional Cloud Developer training equips individuals with the skills needed to develop scalable, reliable, and secure cloud applications on the Google Cloud Platform (GCP). Participants learn to design, build, and deploy cloud-native applications using GCP services such as App Engine, Compute Engine, Kubernetes Engine, Cloud Functions, and Cloud Run. The course covers topics like application development, integration, deployment, monitoring, and debugging. Through hands-on labs and real-world projects, students gain practical experience in developing cloud solutions that meet business requirements and industry best practices. This training prepares individuals for the Professional Cloud Developer certification exam, validating their proficiency in cloud application development on GCP.
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Course Duration : 2 Months

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Google Cloud [GCP] Professional Cloud Developer Training Calender

Start Date Training Mode Enroll Status
May 05, 2024
10:00 - 13:00 (IST) 		Classroom/Online
Weekdays/Weekend 		Enrollment Open
May 13, 2024
13:00 - 16:00 (IST) 		Classroom/Online
Weekdays/Weekend 		Enrollment Open
Apr 25, 2024
14:00 - 17:00 (IST) 		Classroom/Online
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Google Cloud [GCP] Professional Cloud Developer Overview

Google Professional Cloud Developer Training & certification Exam Overview

Professional Cloud Developer is an all-round Google cloud training and certification program that assesses the capability of candidates to develop robust, scalable and highly available cloud applications by employing Google recommended practices and tools. The candidate is trained to develop applications leveraging fully-managed Google cloud services. This training focuses to demonstrate how to work with next generation databases, advanced developer tools and cloud runtime environments. The certification course also imbibes proficiency to code in at least one general purpose programming language and use Stack driver for generating useful metrics and logs that help debugging and tracing the application code.

Prerequisites

  • Basic knowledge of any programming language

Who is it for?

This Google Professional Cloud Developer certification training helps advancing the career options for:
  • Application developers aspiring to advance cloud development skills
  • Software development professionals

Course Content
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Section 1: Designing highly scalable, available, and reliable cloud-native applications
1.1 Designing high-performing applications and APIs. Considerations include:
    ●  Microservices architecture
    ●  Choosing the appropriate platform based on the use case and requirements (e.g., IaaS [infrastructure as a service], CaaS [container as a service], PaaS [platform as a service], FaaS [function as a service])
    ●  Application modernization (e.g., containerization)
    ●  Understanding how Google Cloud services are geographically distributed (e.g., latency, regional services, zonal services)
    ●  User session management
    ●  Caching solutions
    ●  HTTP REST versus gRPC (Google Remote Procedure Call)
    ●  Incorporating Service Control capabilities offered by API services (e.g. Apigee)
    ●  Loosely coupled asynchronous applications (e.g., Apache Kafka, Pub/Sub, Eventarc)
    ●  Instrumenting code to produce metrics, logs, and traces
    ●  Cost optimization and resource optimization
    ●  Graceful handling of errors, disasters, and scaling events
1.2 Designing secure applications. Considerations include:
    ●  Implementing data lifecycle and residency for applicable regulatory requirements
    ●  Security mechanisms that identify vulnerabilities and protect services and resources (e.g., Identity-Aware Proxy [IAP], Web Security Scanner)
    ●  Security mechanisms that secure/scan application binaries, dependencies, and manifests (e.g., Container Analysis)
    ●  Storing, accessing, and rotating application secrets and encryption keys (e.g., Secret Manager, Cloud Key Management Service)
    ●  Authenticating to Google Cloud services (e.g., application default credentials, JSON Web Token [JWT], OAuth 2.0)
    ●  End-user account management and authentication by using Identity Platform
    ●  Identity and Access Management (IAM) roles for users, groups, and service accounts 
    ●  Securing service-to-service communications (e.g., service mesh, Kubernetes Network Policies, Kubernetes namespaces)
    ●  Running services with keyless and least privileged access (e.g., Workload Identity, Workload identity federation)
    ●  Certificate-based authentication (e.g., SSL, mTLS)
    ●  Supply-chain Levels for Software Artifacts (SLSA)
1.3 Choosing storage options for application data. Considerations include:
    ●  Time-limited access to objects
    ●  Data retention requirements
    ●  Structured versus unstructured data (e.g., SQL versus NoSQL)
    ●  Strong versus eventual consistency
    ●  Data volume
    ●  Data access patterns
    ●  Online transaction processing (OLTP) versus data warehousing
Section 2: Building and testing applications
2.1 Setting up your local development environment. Considerations include:
    ●  Emulating Google Cloud services for local application development
    ●  Using the Google Cloud console, Google Cloud SDK, Cloud Shell, and Cloud Workstations
    ●  Using developer tooling (e.g., common IDEs, Cloud Code, Skaffold)
    ●  Authenticating to Google Cloud services (e.g., Cloud SQL Auth proxy, AlloyDB Auth proxy)
2.2 Building. Considerations include:
    ●  Source control management
    ●  Creating secure container images from code
    ●  Developing a continuous integration pipeline by using services (e.g., Cloud Build, Artifact Registry) that construct deployment artifacts
    ●  Code and test build optimization
2.3 Testing. Considerations include:
    ●  Unit testing
    ●  Integration testing including the use of emulators
    ●  Performance testing
    ●  Load testing
    ●  Failure testing/chaos engineering
Section 3: Deploying applications
3.1 Adopting appropriate feature rollout strategies. Considerations include:
    ●  A/B testing
    ●  Feature flags
    ●  Backward compatibility
    ●  Versioning APIs (e.g., Apigee)
3.2 Deploying applications to a serverless computing environment. Considerations include:
    ●  Deploying applications from source code
    ●  Using triggers to invoke functions
    ●  Configuring event receivers (e.g., Eventarc, Pub/Sub)
    ●  Exposing and securing application APIs (e.g., Apigee)
3.3 Deploying applications and services to Google Kubernetes Engine (GKE). Considerations include:
    ●  Deploying a containerized application to GKE
    ●  Integrating Kubernetes role-based access control (RBAC) with IAM
    ●  Defining workload specifications (e.g., resource requirements)
    ●  Building a container image by using Cloud Build
Section 4: Integrating an application with Google Cloud services
4.1 Integrating an application with data and storage services. Considerations include:
    ●  Managing connections to datastores (e.g., Cloud SQL, Firestore, Bigtable, Cloud Storage)
    ●  Reading/writing data to or from various datastores
    ●  Writing an application that publishes or consumes data asynchronously (e.g., from Pub/Sub or streaming data sources)
    ●  Orchestrate application services with Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler
4.2 Integrating an application with Google Cloud APIs. Considerations include:
    ●  Enabling Google Cloud services 
    ●  Making API calls by using supported options (e.g., Cloud Client Library, REST API or gRPC, API Explorer) taking into consideration:
         ○  Batching requests
         ○  Restricting return data
         ○  Paginating results
         ○  Caching results
         ○  Error handling (e.g., exponential backoff)
    ●  Using service accounts to make Cloud API calls
    ●  Integrating with Google Cloud’s operations suite
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm

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Trainer Profile

Our Trainers explains concepts in very simple and smooth to understand his language, so the candidates can analyze in a totally effective way. We offer students, complete freedom to explore the subject. We train you concepts based on real-time examples. Our trainers assist the candidates in finishing their projects or even prepare them for interview questions and answers. Candidates can learn in our one to one training classes and are free to ask any questions at any time.
Companies who have been benefited with his experience & knowledge Atos, Cloud reach, IBM, Samsung R&D, Wipro, Dell, HPE, GE, JP Morgan, Wells Fargo, RBS, Vodafone, Airtel, Nokia, Ericsson, Accenture, Capgemini and many more
 They have More than 10+ years of experience in Linux and related technologies.
 Our Trainers are expert level and completely up-to- date in the subjects they teach because they continue to spend time working on real- world industry applications.
 Our Trainers have Experienced on multiple real- time Industries related projects
 He Trained more than 1000+ Students in a year.
 He's certified Professionals with High Grade
 Having Strong Theoretical & Practical Knowledge.
Top Training Institute for IT certifiation exam Center

Google Cloud [GCP] Professional Cloud Developer Certification Bootcamp

Google Professional Cloud Developer Training & certification Center

The Google Cloud Professional Cloud Developer Certification Bootcamp is an intensive training program designed to equip individuals with the knowledge and skills required to become certified as a Google Certified Professional Cloud Developer. This bootcamp focuses on preparing participants for the certification exam by covering key topics related to developing and deploying applications on the Google Cloud Platform (GCP).


Key Features of the Bootcamp:


1. Comprehensive Curriculum: The bootcamp curriculum covers all the topics outlined in the Professional Cloud Developer exam guide provided by Google Cloud. This includes understanding cloud-native application development, utilizing GCP services for application development, and managing application performance.

2. Expert Instruction: Participants are guided by experienced cloud developers or trainers who possess deep expertise in Google Cloud technologies. These instructors provide valuable insights, practical examples, and real-world scenarios to help participants grasp complex concepts.

3. Hands-on Labs: The bootcamp includes hands-on labs and coding exercises that allow participants to gain practical experience with GCP services and tools. These labs help reinforce learning and enable participants to develop proficiency in building and deploying applications on GCP.

4. Exam Preparation: The bootcamp is structured to prepare participants thoroughly for the Professional Cloud Developer certification exam. It covers exam topics in detail, provides exam-taking strategies, and offers practice exams to assess readiness.

5. Interactive Learning: The bootcamp may include interactive sessions, group discussions, and Q&A sessions to foster engagement and collaboration among participants. This interactive learning approach enhances understanding and retention of course material.

6. Flexible Delivery: Bootcamps may be delivered in various formats, including in-person workshops, virtual classrooms, or self-paced online courses, to accommodate different learning preferences and schedules.


Prerequisites for the Bootcamp:


While prerequisites may vary depending on the specific bootcamp provider, participants are typically expected to have:

- Basic knowledge of cloud computing concepts and principles.
- Familiarity with software development methodologies and programming languages (e.g., Python, Java, Node.js).
- Some experience working with Google Cloud Platform services and products.


Benefits of the Bootcamp:


- Accelerated Learning: The bootcamp offers a focused and structured learning experience, enabling participants to acquire the necessary skills and knowledge efficiently.
- Certification Achievement: Successful completion of the bootcamp prepares participants to confidently sit for the Google Certified Professional Cloud Developer exam and earn the certification.
- Career Advancement: The certification validates participants' expertise in cloud application development on Google Cloud Platform, opening up new career opportunities in the cloud computing industry.

Overall, the Google Cloud Professional Cloud Developer Certification Bootcamp provides participants with the tools and resources needed to succeed in building and deploying applications on GCP and obtaining the Professional Cloud Developer certification.

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Real Exam Format and Information

Exam Name
Google Professional Cloud Developer
Exam Duration :
120 Minutes
Number of Questions :
15 To 20
Exam Fee :
$200
Validity :
2 years
Availability :
Pearson VUE
Types Of Questions :
Multiple Choice And Multi- Responce Questions
Passing Score :
No Scoring Criteria
Eligibility/Prerequisite :
None
Exam Languages :
English, Japanese, Korean, and Simplified Chinese


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Google Cloud [GCP] Professional Cloud Developer Benefits & Job

Over the past ten years, cloud computing has transformed from a "nice-to-have" to a "must-have" technology requirement in today's business environment. The need for an IT specialist who can manage the migration process and perform cloud-related tasks has increased as a result of this seismic change.
An IT specialist known as a cloud engineer is in charge of all technical aspects of cloud computing, including design, planning, management, upkeep, and support of an organization's current infrastructure as well as exploring options for moving different functions (like database storage) to a cloud-based system. Then, on the new machine, this individual migrates and keeps the function running.
Cloud Engineers must be technically proficient, have the ability to bargain with vendors, manage data security, and more in order to complete the move.
The term “cloud engineer” refers to a variety of positions, including:
    Architect for the cloud
    Engineer for cloud software
    Engineer in charge of cloud security
    Engineer for cloud-based systems
    Engineer in charge of cloud networks
Instead of focusing on technology as a whole, each role focuses on a specific type of cloud computing.
Companies that want to deploy cloud services, scale up their use of cloud resources, or improve their cloud knowledge and technology frequently hire cloud engineers.
The average annual salary of a cloud engineer in India is around 7.5-8 lakh rupees, according to Indeed's January 2020 study.
This data came from a review of 228 salaries submitted to Indeed in the previous three years.
Given the rapidly increasing demand for cloud engineers and the scarcity of supply, this is expected to skyrocket in the coming years.

Looking at cloud engineer salaries in India by job title is the best way to figure out what you're capable of.
As you advance up the corporate ladder as a cloud engineer, your salary will rise.
The better the company you work for, the more likely it is that you will receive a significant pay raise.

Experience
Average Salary per Annum
0-3 years
₹12,41,000
4-6 years
₹17,44,817 – ₹19,00,369
You can expect to earn three times as much as a new employee in just four years.
However, not everything in life is straightforward.
You must hone your skills and stay current with industry developments.
Top Cloud Engineering Companies in India
The average salary of a cloud engineer varies greatly depending on that company where you work.
Examine the pay packages offered by some of India's most prestigious companies.
         
Company
Average Salary per annum
Microland
₹13,45,871
Adobe
₹7,60,000
Microsoft
₹14,00,000
HCL Technologies
₹7,00,000
Nivio Technologies
₹18,53,084 
Cloud Engineer Salary in Other Countries
Another important factor to consider is how much these salaries vary by region. The list of Cloud Engineer Salaries in other countries is organized by location.
    
Location
Average Salary per annum
Cloud Engineer in New York, NY
$139,440
Cloud Engineer in Boston, MA
$124,803
Cloud Engineer in Chicago, IL
$118,758
Cloud Engineer in Atlanta, GA
$113,709
Cloud Engineer in Austin, TX
$115,084

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Google Cloud [GCP] Professional Cloud Developer FAQ

  • What is the purpose of the Google Professional Cloud Developer training and certification?

    The Google Professional Cloud Developer certification is designed to provide individuals with the knowledge and skills necessary to design, develop, and deploy cloud-native applications on Google Cloud Platform (GCP).

  • What are the prerequisites for the Google Professional Cloud Developer certification?

    It is recommended to have prior experience with GCP and a working knowledge of cloud-native application development and the Google Certified Professional Cloud Architect or equivalent experience.

  • What are the key topics covered in the Google Professional Cloud Developer training?

    The key topics covered in the Google Professional Cloud Developer training include cloud-native application development, GCP services for application development, and CI/CD pipeline and testing.

  • How long does it take to prepare for the Google Professional Cloud Developer certification?

    The time it takes to prepare for the Google Professional Cloud Developer certification varies depending on the individual's prior knowledge and experience. It is recommended to allocate several weeks to study and prepare for the certification exam.

  • What are the best resources to prepare for the Google Professional Cloud Developer certification?

    The best resources to prepare for the Google Professional Cloud Developer certification include GCP documentation, GCP training courses, GCP whitepapers, practice tests, and the Google Cloud Certified - Professional Cloud Developer Study Guide.

  • What is the format of the Google Professional Cloud Developer certification exam?

    The format of the Google Professional Cloud Developer certification exam is multiple-choice, with 48 questions to be completed within 120 minutes.

  • What is the passing score for the Google Professional Cloud Developer certification exam?

    The passing score for the Google Professional Cloud Developer certification exam is not publicly disclosed.

  • How often is the Google Professional Cloud Developer certification exam offered?

    The Google Professional Cloud Developer certification exam is offered continuously and can be taken at any time at a testing center or online through a proctoring service.

  • What are the benefits of the Google Professional Cloud Developer certification?

    benefits of the Google Professional Cloud Developer certification include increased credibility and recognition as a GCP expert, improved job opportunities and career advancement, and increased knowledge and understanding of cloud-native application development on GCP.

  • How long is the Google Professional Cloud Developer certification valid for?

    The Google Professional Cloud Developer certification is valid for two years from the date of passing the certification exam. After two years, the individual will need to retake the certification exam to maintain their Google Professional Cloud Developer status.

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