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Learn to deploy, scale, and migrate websites using Cloud Run, Compute Engine, and Kubernetes Engine. Gain hands-on experience with Google Cloud's web hosting solutions.
Learn to deploy scalable websites on Google Cloud using various architectures, from simple deployments to microservices, ensuring availability and performance.
Design, implement, and manage cloud architecture with hands-on labs covering web servers, VMs, Docker, Kubernetes, and CloudSQL. Gain practical skills for Google Cloud certification.
Explore Google Cloud networking resources to build, scale, and secure applications. Learn about VPC networks, load balancers, and BeyondCorp Enterprise for enhanced security and performance.
Learn to develop and deploy efficient Go applications on Google Cloud, leveraging its serverless platforms and data sources for scalable and high-performance software solutions.
Learn to build and deploy data pipelines using Cloud Data Fusion's code-free platform. Practice with batch and real-time pipelines, data transformations, and explore data lineage in this hands-on quest.
Build data transformation pipelines, ETL workflows, and machine learning models using Google Cloud tools like Dataprep, Dataflow, and BigQuery ML for predictive modeling and data engineering.
Discover, understand, and manage data assets with Google's Data Catalog. Learn to search, tag, and build connectors for various databases, enhancing metadata management skills.
Learn to implement DevOps workflows in Google Cloud, including git repositories, GKE deployments, and CI/CD pipelines for container image builds and automated deployments.
Develop proficiency in Google Cloud monitoring and logging, covering VM oversight, multi-project monitoring, Cloud Functions integration, custom metrics, and alert configuration.
Learn to deploy Apache Kafka, create streaming data pipelines, and develop microservices applications using Confluent Platform on Google Cloud. Gain hands-on experience with real-time data integration and event streaming.
Create and evaluate machine learning models in BigQuery ML for data predictions, including classification and forecasting, with hands-on practice and a final assessment challenge.
Enhance BigQuery skills: join data, troubleshoot joins, create partitioned tables, and work with complex data types. Earn a Google Cloud skill badge through hands-on practice and assessment.
Learn to implement essential cloud security measures on Google Cloud, including IAM, service accounts, VPC networking, and private Kubernetes clusters.
Learn to build secure, scalable cloud apps using Google Cloud. Develop without infrastructure, analyze data, and integrate ML APIs for intelligent applications.
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