Google Cloud Developer: Google Professional Cloud Developer
- 19 Courses | 25h 37s
- 1 Book | 3h 38m
Aquire the skills required to build, test, and deploy scalable and highly available applications as you preapre for the Google Professional Cloud Developers certification exam.
GETTING STARTED
Google Professional Cloud Developer: Cloud Applications & APIs
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1m 3s
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10m 52s
COURSES INCLUDED
Google Professional Cloud Developer: Cloud Applications & APIs
Businesses and IT leaders across the globe are replacing their legacy, on-premises technology by moving to the cloud. Google Cloud Platform protects your data, applications, infrastructure and so much more. Explore the benefits of moving to the Google Cloud Platform. Examine the microservices architecture and develop microservice apps. Discover the scaling velocity characteristics of Infrastructure as a Service (IaaS), Containers as a Service (CaaS), and Platform as a Service (PaaS). Then, use Cloud Storage, Cloud Bigtable, Cloud Spanner, and Cloud SQL to define a key structure for high-write applications. Learn how to set session lengths for Google Cloud services and how to deploy and secure application programming interface (API) services. Finally, identify and implement Google Cloud best practices. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
17 videos |
2h 5m
Assessment
Badge
Google Professional Cloud Developer: Infrastructure Design
Organizations continue to take advantage of Google Cloud Platform's powerful network to deliver enterprise-class applications. Google uses a secure by design infrastructure, built-in protection, and a global network that helps organizations protect their information. In this course, learn about Google Cloud security, security mechanisms, container scanning, and workload identity federation. Discover how to implement Binary Authorization using Cloud Build and GKE, manage notifications with Secret Manager, and use JSON web tokens and OAuth 2.0 to authenticate services. Finally, practice authenticating using asynchronous or synchronous means between services, control communication between services, and use certificate-based authentication to protect resources. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
20 videos |
2h 39m
Assessment
Badge
Google Professional Cloud Developer: Managing Google Cloud Application Data
Google Cloud management tools are tailored to provide organizations with visibility, accountability, and control over their business, reducing costs and complexity while increasing productivity and predictability. In this course, learn about the various Google Cloud management tools, such as Firestore, Cloud Spanner, Cloud Bigtable, Cloud SQL, and Cloud Storage. Explore data retention and the database options available for structured and unstructured data. Discover NetApp Cloud Volumes Services and identify Cloud Storage best practices. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
15 videos |
1h 37m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Application Modernization
Many organizations seek to determine what their return on investment will be if they upgrade their environments, but quantifying the future impact of modernization initiatives can be challenging. Google Cloud's application modernization solutions can help you be more innovative while reducing your costs. In this course, learn about Google Cloud's application modernization solutions, including the Google Cloud Application Modernization Program (CAMP), in addition to hybrid and multicloud applications, API management, mainframe modernization, and more. Next, explore the benefits of using Google's managed service providers, refactoring applications from monolith to microservices, and designing scalable and resilient applications. Finally, learn how to deploy stateful applications. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
13 videos |
1h 29m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Development Environment
Google App Engine requires zero configuration and no server management. It also offers flexibility that allows developers to focus on other applications and processes and write code. In this course, you'll learn how to build an application on Google App Engine, create a project using resource manager API, download and install gcloud CLI, and use Google Cloud Console and Cloud Shell. You'll explore Google developer tools, use Cloud Code to debug applications and Skaffold to automate workflows, set up your development environment on Go, and finally use the local development server. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
12 videos |
1h 19m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Software Development
Using Google Cloud Platform maximizes developers' productivity by offering various tools to assist in software development. Google Cloud Code offers features such as remote debugging, reduced context switching, YAML authoring support, and much more. Learn about Google Cloud Code, deploying Kubernetes apps, and using Cloud Run services. Discover how to use built-in algorithms and identify design patterns. Learn to use Cloud Debugger to inspect applications and Cloud Profiler to identify parts of applications consuming the most resources. Finally, learn about Google DevOps and software development methodologies. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
10 videos |
58m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Application Testing
Organizations are benefiting from using Google Cloud Testing as it is cost-effective, reduces resource requirements, allows for availability and scalability, and enables a quicker testing process. In this course, learn about Google Cloud Testing and test HTTP and event-driven Cloud Functions. Discover how to configure a CI/CD platform and perform unit, integration, performance, and load testing. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
10 videos |
50m
Assessment
Badge
Google Professional Cloud Developer: Building Google Cloud Applications
Organizations continuously look for ways to maximize their cloud footprint, and containerization has become a focal point in this evolution. Google Cloud Build is a managed service that enables developers to build, test, and deploy containers quickly across all languages. In this course, learn about Google Cloud Build and how to use it to automate builds. Next, discover how to use community-contributed and custom builders, create a code repository, store build artifacts, and automate App Engine deployments. Finally, practice using Container Registry to store container images, set up Jenkins on Google Kubernetes Engine (GKE), and improve CI/CD. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
12 videos |
1h 5m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Deployment Strategies
Deployment strategies are used to implement changes or upgrades in your applications without interruption or downtime for the user. Google Cloud deployment strategies allow for zero downtime, instant rollbacks, and environment separation. In this course, explore strategies for application deployment and testing, an introduction to Google Cloud Deployment Manager, and how to use Cloud Build to automatically deploy Cloud Run. Next, practice using Spinnaker to integrate existing workflows, Tekton to create CI/CD, and Anthos Config Management for configuration and policy management. Finally, learn how to implement various deployments, such as blue/green, traffic-splitting, rolling, and canary. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
12 videos |
1h 8m
Assessment
Badge
Google Professional Cloud Developer: Deploying Google Cloud Applications
Google Compute Engine (GCE) offers various advantages for deploying your applications, such as throughput, stability, pricing, backup, and security. Containers on Compute Engine instances allow you to conveniently run your apps on host virtual machines (VMs) with fewer dependencies. In this course, learn about the different types of containers that can be run on Compute Engine instances. Next, discover how to install applications and manage service accounts for VMs, bootstrap applications on Compute Engine, and configure and manage sinks. Finally, practice exporting metrics, using operating system images to create boot disks for instances, and configuring a Binary Authorization policy with Google Kubernetes Engine (GKE). This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
10 videos |
57m
Assessment
Badge
Google Professional Cloud Developer: Deploying Google Applications to GKE
Google Kubernetes Engine is one of the leading hosted container orchestration solutions. It provides a hosted environment for running containerized applications and managing workloads to your specifications, while integrating with other Google Cloud services for secure, highly available, and scalable deployments. In this course you'll explore Google Kubernetes Engine (GKE), deploy a containerized application to GKE, and control access to cluster resources using role-based access control (RBAC) and identity and access management (IAM). Next, you will practice configuring Kubernetes namespaces, identify workload profiles and specifications, and build container images using Cloud Build. You will configure Kubernetes network policy and Kubernetes services and explore how to manipulate the GKE Pod life cycle. Finally, you'll explore how Kubernetes resources and configurations are defined. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
13 videos |
1h 23m
Assessment
Badge
Google Professional Cloud Developer: Deploying Google Cloud Functions
Google Cloud Functions is a serverless, event-driven computing service that lets you treat all cloud services as building blocks. Developers can use it to create and implement functions without needing to provision other infrastructures like servers, storage, and other resources. In this course, learn about Google Cloud Functions and its triggers and events, including Pub/Sub and Cloud Storage triggers. Next, discover how to write and deploy Cloud Functions, the types of triggers for calling Cloud Functions, and use HTTP functions. Finally, practice creating an event that triggers CloudEvent and secure Cloud Functions using identity and network-based approaches. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
12 videos |
1h 12m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Service Accounts
Google Cloud service accounts are special account types used to represent non-human functions that authenticate/authorize to gain access to data in Google APIs. Examples of service accounts include running workloads on virtual machines, workstations, or data centers. In this course, learn about the different types of service accounts, create and manage service accounts using the IAM API, and work with the different types of service account keys. Next, discover how to create short-lived service account credentials and manage impersonation and the Service Account Credentials API. Finally, explore how to monitor and view usage patterns and learn about the principle of least privilege. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
12 videos |
1h 6m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Data & Storage Services
Google Cloud Storage is a platform that houses unstructured data sets, typically used for primary or infrequently accessed data. Data and storage services provide flexibility and reliability in a secure location which enables customers to transition to lower-cost classes easily, allows for multiple redundancy options, provides usable archival storage, and provides storage classes for any workloads. In this course, you will learn about application integration and identify import and export best practices. You will learn how to import and export using SQL and CSV and check the status of import and export operations. Finally, you will learn to connect to Cloud SQL, Cloud Spanner, Firestore, and Cloud Bigtable data stores. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
11 videos |
1h 4m
Assessment
Badge
Google Professional Cloud Developer: Google Cloud Compute Services
Google Cloud compute services allow you to create and run customizable virtual machines. It automatically deploys, scales, and manages your containers with Google Kubernetes Engine (GKE) or Cloud Run. You can migrate your apps at your own pace with the ability to move directly to virtual machines or automatically to containers. In this course, learn about service discovery and how to implement it in GKE and Compute Engine. Next, discover how to access instance metadata. Finally, explore how to authenticate users using Identity-Aware Proxy and OAuth 2.0 web flow and cloud APIs with workload identity. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
10 videos |
49m
Assessment
Badge
Google Professional Cloud Developer: Integrating Google Cloud APIs
Google Cloud Platform (GCP) services include programmatic interfaces called Google Cloud APIs. Google Cloud APIs allow you to easily connect computing, networking, storage, and machine learning data to your applications. In this course, learn about Google APIs, enable APIs in your Google Cloud projects, and practice making API calls using REST APIs, a Cloud Client Library, gRPC, and the Google APIs Explorer. Next, discover how to send batched requests into a single HTTP request, restrict returned data, and paginate results. Finally, explore error handling for Google APIs, work with cached query results, and use service accounts to make API calls. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
14 videos |
1h 22m
Assessment
Badge
Google Professional Cloud Developer: Managing Google Compute Engine VMs
Google Cloud Compute Engine allows you to create and run virtual machines (VMs). Compute Engine instances can be used to run the public images for both Linux and Windows Server. In this course, learn about managing Google Compute Engine VMs. Next, discover how to debug custom VMs, debug using a serial console, and debug a failed VM startup. Finally, explore how to install the Cloud Logging agent on individual VMs, work with the Logs Explorer to analyze logs, and view a resource utilization report. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
9 videos |
48m
Assessment
Badge
Google Professional Cloud Developer: Managing Google Kubernetes Engine
Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling containerized applications. GKE consists of multiple machines grouped to form a cluster. In this course, you'll explore the use of GKE workloads, and configure Cloud Logging and Cloud Monitoring. You'll access the monitoring dashboard to view container life cycle events, troubleshoot issues with deployed workloads, and view GKE logs. You will explore how to manage GKE metrics, use custom metrics to capture application-specific data, and identify external metrics. Finally, you will see how to use Pub/Sub to receive notifications from your GKE clusters and autoscale your GKE clusters. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
14 videos |
1h 29m
Assessment
Badge
Google Professional Cloud Developer: Troubleshooting Google Applications
The Google Performance Dashboard gives you visibility into all of the Google Cloud network. It shows you the performance of the entire network as well as any of your project's resources. In this course, you'll learn about the Google Performance Dashboard, create a monitoring dashboard, write custom metrics, create log-based metrics, and use Cloud Debugger. You'll review stack traces for error analysis, setup service log exports to BigQuery, view logs in the Google Console, monitor health and performance using Cloud Monitoring, and review application performance using Cloud Trace. You'll also use Prometheus to monitor and alert you on your workloads and OpenTelemetry to monitor and analyze your applications. Finally, you'll measure app performance using Cloud Profiler and use documentation, forums, and Google Cloud support. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.
16 videos |
1h 31m
Assessment
Badge
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Book
Google Professional Cloud Developer Exam Guide: Ace the Google Professional Cloud Developer Exam With This Comprehensive GuideThe Google Professional Cloud Developer Exam Guide is a comprehensive study guide for the Google Professional Cloud Developer exam.
3h 38m
By Fiifi Baidoo
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