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Google Cloud Platform Developer Certification with an Extra Boost Course.

Empower Your Cloud Journey with GCP Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
Interview Readiness Guide + Mock Sessions
Placement Assistance Guide

Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Google Cloud Platform Developer

1.Introduction to Cloud Computing

2 Quizzes

1 Project

1.1 Understanding Cloud Computing
Understanding Azure pricing, SLA, and lifecycle is crucial for cost-effective resource management, ensuring service reliability,
1.2 Cloud Service Models (IaaS, PaaS, SaaS)
Explore a diverse range of GCP services and solutions encompassing computing, storage, databases, networking,
1.3 Cloud Deployment Models (Public, Private, Hybrid)
Develop solutions that use Azure Kubernetes Service (AKS) to orchestrate containerized applications, enabling efficient deployment
1.4 Cloud Providers (AWS, Azure, Google Cloud, etc.)
Develop solutions that use Azure Container Instances (ACI) to deploy and run containerized applications without managing the underlying infrastructure

2.Fundamentals of Programming and Development

22.1 Programming Languages (e.g., Python, Java, Node.js)
Create and manage GCP App Service Web Apps to deploy and host web applications, utilizing GCP fully managed platform for streamlined development
2.2 Version Control (e.g., Git)
Implement GCp Functions to create serverless compute solutions, allowing for event-driven execution of code without the need for infrastructure management
2.3 Integrated Development Environments (IDEs)
Develop solutions that use GCP Kubernetes Service (AKS) to orchestrate containerized applications, enabling efficient deployment
2.4 Basic Software Development Lifecycle (SDLC) principles
Develop solutions that use GCP Container Instances (ACI) to deploy and run containerized applications without managing the underlying infrastructure

3.Cloud Infrastructure

3.1 Virtualization and Containers (e.g., Docker)
Develop solutions that use GCP Blob storage to store and manage unstructured data, such as documents, images, and videos
3 3.2 Infrastructure as Code (IaC)
Develop solutions that use Azure Cosmos DB storage, a globally distributed, multi-model database service,
3.3 Networking in the Cloud
Develop solutions that use GCp Table storage to build scalable and cost-effective applications, particularly suitable for scenarios requiring fast and flexible NoSQL data storage in the Azure cloud environment.
3.4 Compute Resources (Virtual Machines, Containers)
Develop solutions that use GCP Queue Storage to build scalable and asynchronous messaging systems, facilitating communication and coordination between components

4.Cloud Development Platforms

4.1 Introduction to Cloud Platform Services
Implement user authentication and authorization in your applications by integrating identity services like Azure Active Directory or OAuth, ensuring secure user access
4.2 Serverless Computing
Implement secure cloud solutions by adhering to GCp best practices, utilizing features like network security groups, GCp Key Vault for secure key management,
4.3 Platform as a Service (PaaS)
Implement GCp Key Vault to securely store and manage sensitive information such as secrets, encryption keys, and certificates.
4.4 Microservices Architecture
Implement user authentication and authorization in your applications by integrating identity services like GCp Active Directory or OAuth, ensuring secure user access

5.Database Services

5.1 Relational Databases
Integrate caching and content delivery within solutions by leveraging Azure Cache for Redis or Azure Content Delivery Network (CDN). ,
5.2 NoSQL Databases
Instrument solutions to support monitoring and logging by integrating Azure Monitor and Azure Log Analytics. Implement logging mechanisms and telemetry instrumentation
5.3 Data Warehousing
Monitor and optimize Azure solutions by utilizing Azure Monitor and Azure Advisor. Regularly review performance metrics, cost analytics, and recommendations provided by Azure Advisor to identify opportunities for improvement

6.Security and Compliance

6.1 Cloud Security Best Practices
Develop an App Service Logic App to create scalable and serverless workflows for automating business processes
6.2 Identity and Access Management (IAM)
Implement API Management to create, publish, and manage APIs in a scalable and secure manner
6.3 Encryption and Data Protection
Develop event-based solutions using Azure Event Grid or Azure Event Hubs to build scalable and responsive systems that react to events and messages within the Azure cloud environment.
6.4 Compliance and Governance in the Cloud
Develop message-based solutions using Azure Service Bus or Azure Storage Queues to enable reliable and asynchronous communication between decoupled components. .

7.DevOps and Continuous Integration/Continuous Deployment(CI/CD)

7.1 CI/CD Pipelines
Consuming external HTTP services involves integrating and interacting with external APIs or web services in your applications, enabling data exchange and functionality utilization
7.2 Automation and Orchestration
Handling long-running asynchronous tasks with Azure Durable Functions involves leveraging serverless orchestration to manage and coordinate workflows that span multiple function executions.
7.3 Monitoring and Logging
Secure your APIs with Azure API Management by implementing authentication, authorization, and encryption mechanisms. Utilize policies, OAuth, API keys, and other security features to control access

8.Scalability and Performance Optimization

8.1 Auto-scaling
Create CI/CD pipelines using Azure DevOps to automate the build and deployment processes of your applications.
8.2 Load Balancing
Implement Continuous Integration (CI) and Continuous Deployment (CD) by integrating automated processes for building
8.3 Caching Strategies
Create CI/CD pipelines using Azure DevOps to automate the build and deployment processes of your applications.
8.4 Performance Tuning
Implement Continuous Integration (CI) and Continuous Deployment (CD) by integrating automated processes for building

9.Application Development and Cloud Services

9.1 Building and Deploying Web Applications
Build serverless applications using Azure Functions, leveraging the event-driven and on-demand execution capabilities of serverless computing
9.3 API Development and Management
Design and implement event-driven architectures by utilizing services like Azure Event Grid or Azure Event Hubs. Develop systems where components communicate and react to events,
9.4 Integration with Cloud Services (e.g., AWS Lambda, AzureFunctions)
Build serverless applications using Azure Functions, leveraging the event-driven and on-demand execution capabilities of serverless computing

10.Case Studies and Hands-On Projects

10.1 Real-world scenarios and case studies
Understand Azure Cognitive Services and their usage in applications, which involves incorporating pre-built AI capabilities into applications using Azure services
10.2 Practical hands-on projects using cloud services
Create CI/CD pipelines using Azure DevOps to automate the build and deployment processes of your applications.
10.3 Troubleshooting and Debugging
Implement Continuous Integration (CI) and Continuous Deployment (CD) by integrating automated processes for building

11.Best Practices and Advanced Topics

11.1 Cloud Cost Management
Introduce Azure IoT (Internet of Things) and IoT Hub, which are Azure services designed for building, managing, and scaling IoT applications
11.2 High Availability and Disaster Recovery
Develop IoT solutions on Azure by leveraging Azure IoT services such as Azure IoT Hub, Azure IoT Central, and Azure IoT Edge
11.3 Multi-region Deployment
Introduce Azure IoT (Internet of Things) and IoT Hub, which are Azure services designed for building, managing, and scaling IoT applications
11.4 DevSecOps
Develop IoT solutions on Azure by leveraging Azure IoT services such as Azure IoT Hub, Azure IoT Central, and Azure IoT Edge

12.Final Projects and Capstone

12.1 Building a complete cloud-based application
Consuming external HTTP services involves integrating and interacting with external APIs or web services in your applications, enabling data exchange and functionality utilization
12.2 Capstone project to demonstrate skills and knowledge
Handling long-running asynchronous tasks with Azure Durable Functions involves leveraging serverless orchestration to manage and coordinate workflows that span multiple function executions.

Resume building and Mock interviews