Professional Cloud Developer Certification

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Professional Cloud Developer Certification Course Overview

The Professional Cloud Developer training by Multisoft Systems is designed for developers aiming to excel in building, deploying, and optimizing applications on the Google Cloud Platform (GCP). This course provides a robust foundation in cloud-native application development, covering key concepts such as managing cloud-based applications, optimizing performance, integrating Google Cloud services, and implementing security best practices. Participants will gain in-depth, hands-on experience with GCP tools like Cloud Run, Kubernetes Engine, and Firebase to build scalable, resilient applications. The course also explores essential development practices like microservices architecture, continuous integration/continuous delivery (CI/CD), and serverless computing. In addition, learners will discover strategies for optimizing applications to enhance performance, reliability, and cost-efficiency on the cloud.

With guidance from seasoned instructors, learners will acquire the skills needed to pass the Professional Cloud Developer certification exam, a valuable credential for advancing in the cloud computing field. By the end of the course, participants will be equipped to make informed decisions about application architecture, deployment strategies, and performance enhancements in cloud environments. This training empowers developers with the expertise to build future-ready applications that align with industry demands for secure, scalable, and efficient cloud solutions.

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Professional Cloud Developer Certification Course curriculum

Curriculum Designed by Experts

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The Professional Cloud Developer training by Multisoft Systems is designed for developers aiming to excel in building, deploying, and optimizing applications on the Google Cloud Platform (GCP). This course provides a robust foundation in cloud-native application development, covering key concepts such as managing cloud-based applications, optimizing performance, integrating Google Cloud services, and implementing security best practices. Participants will gain in-depth, hands-on experience with GCP tools like Cloud Run, Kubernetes Engine, and Firebase to build scalable, resilient applications. The course also explores essential development practices like microservices architecture, continuous integration/continuous delivery (CI/CD), and serverless computing. In addition, learners will discover strategies for optimizing applications to enhance performance, reliability, and cost-efficiency on the cloud.

With guidance from seasoned instructors, learners will acquire the skills needed to pass the Professional Cloud Developer certification exam, a valuable credential for advancing in the cloud computing field. By the end of the course, participants will be equipped to make informed decisions about application architecture, deployment strategies, and performance enhancements in cloud environments. This training empowers developers with the expertise to build future-ready applications that align with industry demands for secure, scalable, and efficient cloud solutions.

  • Develop and deploy scalable, high-performance applications on Google Cloud Platform (GCP).
  • Understand and implement best practices for cloud-based application security.
  • Gain expertise in using GCP tools such as Cloud Run, Kubernetes Engine, and Firebase.
  • Design and integrate microservices architecture for flexible, resilient applications.
  • Implement continuous integration/continuous delivery (CI/CD) pipelines for efficient cloud deployments.
  • Learn serverless computing and its role in optimizing application performance.
  • Optimize application performance, reliability, and cost-efficiency on GCP.
  • Acquire skills for managing cloud-native applications effectively in production environments.

Course Prerequisite

  • Basic understanding of cloud computing concepts
  • Experience in software development and programming languages

Course Target Audience

  • Software Developers
  • Cloud Engineers
  • DevOps Engineers
  • Application Architects
  • IT Professionals transitioning to cloud roles
  • Google Cloud Certification Candidates
  • Technical Leads
  • Software Development Managers

Course Content

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

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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

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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

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4.1 Integrating applications 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 applications 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

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Professional Cloud Developer Certification Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Professional Cloud Developer Certification Corporate Training

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Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Professional Cloud Developer Certification FAQ's

Basic familiarity with GCP is helpful but not required. Foundational cloud computing and development knowledge are sufficient for beginning the course.

This course is best suited for individuals with some software development experience. Beginners in cloud technologies may find it challenging without foundational knowledge.

Yes, the training is designed to prepare you thoroughly for the certification, covering all essential exam topics and practical skills.

Absolutely. The training includes hands-on labs and projects on GCP, allowing you to apply concepts in real-world scenarios.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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