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Build and manage Google Cloud infrastructure as code with Terraform: write HCL configurations, handle resource dependencies, reuse modules, and store state in a remote backend.
This course discusses the upgrade process for Apigee hybrid, and teaches you how to monitor and troubleshoot the hybrid runtime plane components.
Automate business processes in AppSheet apps: build bots and loops, send email, push notifications and text messages, parse documents, and generate reports.
Build a personalized Professional Cloud Security Engineer study guide with Gemini Notebook: add sources, write prompts, use study modes, and practice for the certification exam.
Build streaming data pipelines for continuous, unbounded data: architect Pub/Sub and Managed Kafka ingestion, process with Dataflow and Apache Beam, and analyze in BigQuery and Bigtable.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex…
Build cloud-native apps on Google Cloud: add user authentication with IAM, OAuth 2.0 and Firebase, integrate components via Pub/Sub, Cloud Functions and Cloud Endpoints APIs.
Design cloud-native applications on Google Cloud: apply development best practices with loosely coupled microservices, and store data in Cloud Datastore, Cloud Storage, and Cloud SQL.
Learn core ML terms like instances, features, and labels, invoke pretrained Vision and Language APIs, and build classification and forecasting models in BigQuery ML.
Write advanced BigQuery SQL with analytic functions, WITH clauses, UDFs and CTEs, model nested and repeated data using arrays and structs, and tune queries for cost and performance.
Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.
Good news! There’s a new updated version of this learning path available for you!Open the new Citizen Developer path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
Containerize applications and run them on Google Kubernetes Engine: build images with Cloud Build, explore Kubernetes architecture and components, and deploy Autopilot clusters using kubectl.
Review Google Cloud resource management and billing, build container images with Cloud Build, and explore Kubernetes architecture, control plane, and object management while deploying GKE clusters.
Run workloads on Google Kubernetes Engine: create and update Deployments, schedule Jobs and CronJobs, configure Services, Ingress, network policies, and persistent volumes.
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