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Learn to create, secure, deploy, and manage APIs using Google Cloud's Apigee platform. Covers mediation, custom code, fault handling, traffic management, caching, developer portals, logging, analytics, and CI/CD.
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Protect your organization's email with advanced security, compliance, and routing features. Learn to manage spam, implement DLP, configure mail routing, and explore additional options.
Explore Apache Beam's vision, Dataflow's cost-saving features, and security implementations for serverless data processing. Learn about Beam Portability and flexible resource management.
Dive deep into Apache Beam SDK for advanced pipeline development, covering streaming data, sources/sinks, schemas, stateful transformations, best practices, SQL, DataFrames, and interactive development with Beam notebooks.
Explore Dataflow operations, troubleshooting, performance optimization, testing, deployment, and reliability best practices. Learn to use Templates for scaling pipelines across organizations.
Learn to navigate, organize, and collaborate using Google Drive's cloud storage, file management, and sharing features for efficient teamwork and productivity.
Learn to create, manage, and collaborate in video conferences using Google Meet, including hosting, sharing resources, and utilizing interactive features for effective remote communication.
Learn to create, enhance, and present professional slides using Google's cloud-based tool. Master collaboration features, design elements, and presentation techniques for effective communication.
Empower yourself to develop scalable LookML models, providing standardized data for business users. Learn to build and maintain models that curate and manage data in your organization's Looker instance.
Explore Google Cloud infrastructure, storage options, APIs, and security fundamentals. Gain hands-on experience with Cloud Storage, SQL, Pub/Sub, and IAM through practical labs.
Explore cloud networking, security, and management in Google Cloud, covering VPCs, load balancing, hybrid setups, and monitoring tools for efficient infrastructure deployment.
Explore big data, machine learning, and AI on Google Cloud. Learn to leverage managed services, build ML models, and use pre-built APIs for data analysis and intelligent applications.
Learn to build scalable Java microservices using Spring Boot and Spring Cloud on Google Cloud. Covers configuration management, messaging, databases, tracing, and deployment to various Google Cloud services.
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