Google Professional Cloud Developer E-Learning Training

De Google Professional Cloud Developer Training is ontworpen om ontwikkelaars voor te bereiden op het bouwen, implementeren en optimaliseren van applicaties op Google Cloud Platform (GCP). Dit uitgebreide programma voorziet cursisten van vaardigheden om de tools en services van Google Cloud te gebruiken voor het ontwikkelen van schaalbare applicaties die zowel betrouwbaar als veilig zijn. Kernonderwerpen zijn onder andere:

• Application Deployment and Management: Learners will dive into deploying applications using GCP services, including App Engine, Kubernetes Engine, and Compute Engine. This covers the full lifecycle of application development and deployment on cloud infrastructure.
• Optimizing Cloud Applications: The training emphasizes best practices for performance monitoring and tuning, cost optimization, and scaling applications efficiently. Tools like Stackdriver, Google Cloud's monitoring, and logging service are also covered to enhance application performance and reliability.
• Cloud-based Storage and Databases: Developers learn to integrate cloud storage solutions like Cloud SQL, Firestore, and Bigtable to manage application data effectively, with a focus on consistency, availability, and partition tolerance.
• Security and Compliance: Topics include managing Identity and Access Management (IAM), securing API endpoints, and integrating other security protocols to ensure data privacy and compliance with industry standards.
• Debugging and Troubleshooting: Hands-on labs cover techniques for diagnosing issues, debugging applications, and implementing automated testing and continuous integration (CI/CD) practices within the Google Cloud ecosystem.
• Machine Learning Integration: For developers interested in AI, the course explores integrating Google Cloud's AI and machine learning APIs to enhance application functionality.

Cursusinhoud

This e-learning collection contains 19 courses (25 hours +).

1. Designing scalable, available, and reliable cloud-native applications

In this track, the focus will be on designing high-performing applications and APIs, designing secure applications, and choosing storage options for application data.
Courses:

Google Professional Cloud Developer: Cloud Applications & APIs

Course: 2 Hours, 6 Minutes

• Course Overview
• Google Cloud Platform
• Microservices Architecture
• Developing Microservice Apps
• Comparing Scaling Velocity of IaaS, CaaS, and PaaS
• Geographic Distribution of Google Cloud Services
• Using Cloud Storage to Define a Key Structure
• Using Cloud Bigtable to Define a Key Structure
• Using Cloud Spanner to Define a Key Structure
• Using Cloud SQL to Define a Key Structure
• Managing User Sessions
• Caching
• Deploying API Services
• Using Asynchronous Applications
• Graceful Shutdowns
• Google Cloud Best Practices
• Course Summary

Google Professional Cloud Developer: Infrastructure Design

Course: 2 Hours, 40 Minutes

• Course Overview
• Google Application Security
• Google Cloud Architecture Framework
• Security Mechanisms
• Implementing Binary Authorization
• Container Scanning
• Managing Application Secrets and Keys
• Google Services Authentication
• Authenticating Google Services with JSON Web Tokens
• Utilizing OAuth 2.0 to Access Google APIs
• Service Accounts
• Using IAM Roles
• Authenticating Service-to-service
• Utilizing Anthos Service Mesh
• Controlling Communication with Network Policies
• Integrating Kubernetes Namespaces
• Workload Identity Federation
• Using Certificate-based Access
• Google Cloud Security Best Practices
• Course Summary

Google Professional Cloud Developer: Managing Google Cloud Application Data

Course: 1 Hour, 38 Minutes

• Course Overview
• Google Cloud Management Tools
• Defining Database Schemas Using Firestore
• Defining Database Schemas Using Cloud Spanner
• Defining Database Schemas Using Cloud Bigtable
• Defining Database Schemas Using Cloud SQL
• Google Cloud Storage
• Applying Access Control to Cloud Storage Buckets
• Data Retention
• Database Options
• Strong and Eventual Consistency with Datastore
• Managing Data Using NetApp Cloud Volumes Services
• Data Access Request Rate
• Cloud Storage Best Practices
• Course Summary

Google Professional Cloud Developer: Google Cloud Application Modernization

Course: 1 Hour, 30 Minutes

• Course Overview
• Application Modernization
• Utilizing Google CAMP
• Using Anthos for Hybrid and Multicloud Applications
• Deploying Scalable Applications
• Migrating an Application to Google Cloud
• Using Google’s API Management Platform
• Modernizing a Mainframe Application
• Managed Service Providers
• Refactoring Apps from Monolith to Microservices
• Designing Scalable and Resilient Applications
• Deploying a Stateful Application
• Course Summary

2. Building and testing applications

In this track, the focus will be on setting up your local development environment, building and testing.
Courses:

Google Professional Cloud Developer: Google Cloud Development Environment

Course: 1 Hour, 20 Minutes

• Course Overview
• Google App Engine
• Creating a Google Cloud Project
• Installing the gcloud Command-line Interface (CLI)
• Using Google Cloud Console
• Using Cloud Shell
• Exploring Google Developer Tools
• Debugging with Cloud Code
• Automating Development Workflow with Skaffold
• Setting Up Your Development Environment
• Using Local Application Development
• Course Summary

Google Professional Cloud Developer: Google Cloud Software Development

Course: 58 Minutes

• Course Overview
• Google Cloud Code
• Deploying Kubernetes App with Cloud Code
• Deploying Cloud Run Service
• Utilizing Built-in Algorithms
• Application Patterns
• Google DevOps
• Debugging Code with Cloud Debugger
• Profiling Code with Cloud Profiler
• Course Summary

Google Professional Cloud Developer: Google Cloud Application Testing

Course: 51 Minutes

• Course Overview
• Google Cloud Testing
• Testing HTTP Functions
• Testing Event-driven Functions
• Configuring a CI/CD Platform
• Performing Unit Testing
• Integration Testing
• Performance Testing
• Load Testing
• Course Summary

Google Professional Cloud Developer: Building Google Cloud Applications

Course: 1 Hour, 6 Minutes

• Course Overview
• Google Cloud Build
• Automating Builds
• Using Community-contributed Builders
• Using Custom Builders
• Creating a Cloud Source Repositories Code Repository
• Storing Build Artifacts
• Automating App Engine Deployment
• Storing Container Images with Container Registry
• Setting Up Jenkins on Google Kubernetes Engine (GKE)
• Reviewing and Improving CI/CD
• Course Summary

3. Deploying applications

In this track, the focus will be on adopting appropriate feature rollout strategies, deploying applications to a serverless computing environment, and deploying applications and services to Google Kubernetes Engine (GKE).
Courses:

Google Professional Cloud Developer: Google Cloud Deployment Strategies

Course: 1 Hour, 8 Minutes

• Course Overview
• Deployment and Testing Strategies
• Google Cloud Deployment Manager
• Deploying Cloud Run Using Cloud Build
• Integrating CI Workflows with Spinnaker
• Creating a CI/CD System Using Tekton
• Using Anthos Config Management
• Implementing a Blue/Green Deployment
• Executing a Traffic-splitting Deployment
• Performing a Rolling Deployment
• Implementing a Canary Deployment
• Course Summary

Google Professional Cloud Developer: Deploying Google Cloud Applications

Course: 58 Minutes

• Course Overview
• Compute Engine and Containers
• Installing Applications on a Virtual Machine (VM)
• Managing Service Accounts for VMs
• Bootstrapping Applications
• Configuring and Managing Sinks
• Using Log-based Metrics
• Creating Boot Disks with Operating System Images
• Configuring a Binary Authorization Policy with GKE
• Course Summary

Google Professional Cloud Developer: Deploying Google Applications to GKE

Course: 1 Hour, 23 Minutes

• Course Overview
• Google Kubernetes Engine (GKE)
• Deploying Containerized Applications
• Managing Cluster Access with RBAC
• Managing Cluster Access with IAM
• Configuring Kubernetes Namespaces
• Workload Specifications
• Building Container Images
• Configuring Network Policies
• Configuring Kubernetes Services
• Managing Pod Life Cycle
• Cluster Orchestration with Kubernetes Engine
• Course Summary

Google Professional Cloud Developer: Deploying Google Cloud Functions

Course: 1 Hour, 13 Minutes

• Course Overview
• Google Cloud Functions
• Writing a Cloud Function
• Deploying a Cloud Function
• Triggers for Calling Cloud Functions
• Using HTTP Functions
• Triggering CloudEvent and Background Functions
• Securing Cloud Functions
• Cloud Functions Triggers and Events
• Pub/Sub Triggers in Cloud Functions
• Cloud Storage Triggers
• Course Summary

4. Integrating applications with Google Cloud services

In this track, the focus will be on integrating applications with data and storage services, and integrating applications with Google Cloud APIs
Courses:

Google Professional Cloud Developer: Google Cloud Service Accounts

Course: 1 Hour, 6 Minutes

• Course Overview
• Service Accounts
• Creating and Managing Service Accounts with IAM API
• Service Account Key Types
• Creating and Managing Service Account Keys
• Managing Access to Service Accounts
• Creating Short-lived Service Account Credentials
• Managing Service Account Impersonation
• Managing the Service Account Credentials API
• Monitoring Service Account Usage
• The Principle of Least Privilege
• Course Summary

Google Professional Cloud Developer: Google Cloud Data and Storage Services

Course: 1 Hour, 4 Minutes

• Course Overview1
• Application Integration
• Import and Export Best Practices
• Importing and Exporting using SQL
• Importing and Exporting using CSV
• Checking Import and Export Status
• Connecting to Cloud SQL Data Store
• Connecting to Cloud Spanner Data Store
• Connecting to Firestore Data Store
• Connecting to Cloud Bigtable Data Store
• Course Summar

Google Professional Cloud Developer: Google Cloud Compute Services

Course: 49 Minutes

• Course Overview
• Google Compute Engine (GCE)
• Kubernetes Service Discovery
• Implementing Service Discovery in GKE
• Implementing Service Discovery in Compute Engine
• Accessing Instance Metadata
• Authenticating Users with Identity-Aware Proxy (IAP)
• Authenticating Users with OAuth 2.0 Web Flow
• Authenticating Cloud APIs with Workload Identity
• Course Summary

Google Professional Cloud Developer: Integrating Google Cloud APIs

Course: 1 Hour, 23 Minutes

• Course Overview
• Google Cloud APIs
• Enabling APIs in a Google Cloud Project
• Using REST APIs to Make API Requests
• Making API Calls Using a Cloud Client Library
• Utilizing gRPC to Make API Calls
• Using APIs Explorer to Make API Calls
• Batching Requests into Single HTTP Requests
• Restricting Return Data
• Paginating Results
• Using Cached Query Results
• Google API Error Handling
• Employing Service Accounts to Make API Calls
• Course Summary

Google Professional Cloud Developer: Managing Google Compute Engine VMs

Course: 48 Minutes

• Course Overview
• Compute Engine Virtual Machine (VM) Instances
• Debugging Custom VMs
• Using a Serial Console for Debugging
• Debugging a Failed VM Startup
• Installing the Cloud Logging Agent on VMs
• Analyzing Logs with Logs Explorer
• Viewing a Resource Utilization Report
• Course Summary

Google Professional Cloud Developer: Managing Google Kubernetes Engine

Course: 1 Hour, 29 Minutes

• Course Overview
• Google Kubernetes Engine (GKE) Workloads
• Configuring Cloud Logging
• Configuring Cloud Monitoring
• Viewing Container Life Cycle Events
• Troubleshooting the CrashLoopBackOff Error
• Troubleshooting the ImagePullErr Error
• Analyzing GKE Logs
• Managing GKE Metrics
• Using Custom Metrics
• External Metrics
• Receiving Alerts
• Workload Autoscaling
• Course Summary

Google Professional Cloud Developer: Troubleshooting Google Applications

Course: 1 Hour, 32 Minutes

• Course Overview
• Performance Dashboard
• Creating a Monitoring Dashboard
• Writing Custom Metrics
• Creating Log-based Metrics
• Using Cloud Debugger
• Reviewing Stack Traces
• Exporting Logs
• Viewing Logs in Google Console
• Monitoring Performance
• Reviewing Performance with Cloud Trace
• Using Prometheus
• Using OpenTelemetry
• Measuring Performance with Cloud Profiler
• Using Google Cloud Support
• Course Summary