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Academic Writing Made Easy
Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
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Learn to build resilient streaming data pipelines on Google Cloud using Pub/Sub, Dataflow, BigQuery, and Bigtable. Gain hands-on experience in real-time data processing and analytics for business insights.
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…
Design and develop secure cloud-native applications integrating Google Cloud services. Learn authentication, Pub/Sub, Cloud Functions, and API management for seamless component integration.
Learn to design and develop cloud-native applications using Google Cloud services. Covers best practices, storage options, and hands-on labs in Node.js, Python, or Java for seamless integration of managed services.
Learn to apply machine learning to business data using Google Cloud. Explore pre-trained ML APIs, create datasets, and build models with BigQuery ML. Gain practical skills through interactive labs and demos.
Dive deep into advanced BigQuery functions, complex query design, and data architecture. Master performance optimization, data security, and integration with Vertex AI for enhanced analytics capabilities.
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.
Learn to deploy and manage containerized applications on Google Kubernetes Engine. Covers GKE basics, Kubernetes architecture, and operations for efficient cloud-native development.
Explore Google Cloud, containers, and Kubernetes architecture. Learn to deploy and manage applications on Google Kubernetes Engine for efficient cloud-native development.
Explore cloud-native app development with Kubernetes, covering operations, deployment, networking, and storage. Learn to architect scalable, resilient applications on Google Kubernetes Engine.
Explore GKE production essentials: security, logging, monitoring, managed services, and CI/CD pipelines. Learn to build robust, scalable Kubernetes infrastructures on Google Cloud.
Explore Google Cloud's core infrastructure services, focusing on Compute Engine, IAM, storage, databases, resource management, and monitoring through hands-on labs and practical solutions.
Explore Google Cloud's infrastructure services, focusing on Compute Engine. Learn about virtual networking, VMs, and cloud architecture through hands-on labs and demos.
Explore Google Cloud's infrastructure services through hands-on labs, covering network interconnection, load balancing, autoscaling, automation, and managed services for efficient and scalable cloud solutions.
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