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"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."

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Google Cloud Platform Cloud Architect

Module 1:Introduction to Google Cloud Platform (GCP)

2 Quizzes

1 Project

1.1 Overview of GCP services and products.
Google Cloud Platform (GCP) offers a comprehensive suite of cloud services and products, including computing, storage, databases, machine learning, and networking solutions for businesses and developers.
1.2 GCP resource hierarchy and organization.
GCP resource hierarchy and organization refer to the structured framework that allows users to organize and manage cloud resources effectively, comprising projects, folders, and the organization node

Module 2:Designing and Planning a GCP Solution

2.1 Defining business and technical requirements.
Defining business and technical requirements involves specifying the functional and non-functional needs of a project
2.2 Creating a cloud strategy and migration plan.
Creating a cloud strategy and migration plan involves developing a comprehensive approach for adopting cloud services and transitioning existing workloads to the cloud
2.3 Best practices for designing scalable and highly availablesolutions.
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.

Module 3:Compute and Storage Services

3.1 Understanding virtual machines and instance types.
Understanding virtual machines (VMs) involves grasping the concept of virtualization, where software emulates a physical computer.
3.2 Working with Google Compute Engine.
Azure Repos is a version control service in Azure DevOps that provides Git repositories for source code management. It allows teams to collaborate on software development by hosting and versioning code
3.3 Overview of Google Cloud Storage services.
Google Cloud Storage services provide scalable and secure cloud-based storage solutions, including object storage, file storage, and specialized options for mobile applications and archival needs.

Module 4:Networking

4.1 VPC (Virtual Private Cloud) design
Git workflows, such as Centralized, Feature Branch, Gitflow, GitHub Flow, and Forking, guide collaborative development and version control strategies, catering to different team sizes and project complexities.
4.2 Load balancing solutions.
Implementing and managing pull requests involves creating a mechanism for code review, collaboration, and integration of changes in a Git repository
4.3 Network security and firewall rules.
Exercise: Scaling Git for Enterprise DevOps involves hands-on activities to address challenges associated with large-scale Git repositories, multiple teams, and complex development workflows

Module 5:Data Storage and Databases

5.1 Google Cloud Storage options.
Google Cloud Storage offers various options tailored to diverse storage needs, including Standard Storage for frequently accessed data
5.2 Relational and NoSQL databases on GCP.
Implementing and managing YAML pipelines in Azure DevOps involves defining build and release pipelines using YAML syntax.
5.3 Data storage and backup strategies.
Implementing and managing GitHub Actions involves defining workflows using YAML files directly within a GitHub repository. GitHub Actions automate various tasks, including building

Module 6:Security and Identity

6.1 Identity and Access Management (IAM) on GCP.
Introduction to CI/CD (Continuous Integration/Continuous Delivery) involves adopting practices that automate and streamline the software development lifecycle
6.2 Security best practices and compliance.
Implementing CI/CD pipelines involves creating automated workflows that integrate and deliver code changes seamlessly from development to production.
6.3 Data encryption and key management.
Managing application configuration and secrets in CI/CD involves securely handling sensitive information, such as API keys or connection strings, during the deployment process

Module 7:Deployment and Monitoring

7.1 Containerization with Kubernetes Engine.
Infrastructure as Code (IaC) principles involve treating infrastructure configurations as code, emphasizing declarative syntax, idempotency, version control, reusability, automatione
7.2 Deployment strategies and CI/CD pipelines.
Implementing ARM (Azure Resource Manager) templates involves using JSON-based scripts to define and deploy Azure infrastructure resources. ARM templates provide a declarative way to specify the desired state of resources
7.3 Monitoring, logging, and debugging tools on GCP.
Infrastructure provisioning with Terraform involves using HashiCorp's Terraform tool to define and manage infrastructure as code

Module 8:Scaling and Performance Optimization

8.1 Autoscaling and load balancing.
Configuration management automates and maintains consistent infrastructure and software configurations, ensuring reliability, version control, and idempotent application of desired states.
8.2 Performance tuning and optimization techniques.
Azure Key Vault is a cloud service that enables secure storage and management of sensitive information such as secrets, encryption keys, and certificates.
8.3 Cost management and billing on GCP.
Exercise: Managing application configuration and secrets involves practical tasks to secure and handle sensitive information within an application using tools like Azure Key Vault

Module 9:Hybrid and Multi-Cloud Solutions

9.1 Implementing hybrid cloud architectures.
To configure database authentication using platform and database tools, utilize tools such as Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage authentication settings
9.1 Interconnecting on-premises and cloud environments.
To configure database authorization using platform and database tools, leverage tools like Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage permissions
9.1 Multi-cloud considerations.
To implement Azure AD-based security, integrate Azure Active Directory (Azure AD) with your database to enable authentication using Azure AD credentials, ensuring centralized identity management

Module 10:Case Studies and Real-World Scenarios

10.1 Practical examples and case studies of architecting solutions on GCP.
To monitor and troubleshoot SQL Server performance, employ tools like SQL Server Management Studio (SSMS), Performance Monitor, and Dynamic Management Views (DMVs) to analyze query execution
10.2 Examining real-world use cases and best practices.
To monitor and troubleshoot Azure SQL Database performance, use Azure Portal, Azure Monitor, and Query Performance Insight. Utilize metrics, performance recommendations

Module 11:Preparation for the Professional Cloud Architect Exam

1.1 Tips and strategies for preparing for and passing the Google Cloud Professional Cloud Architect certification exam.
Reviewing query plans involves analyzing the execution plans generated by the database engine to understand how queries are processed

Resume building and Mock interviews