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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore cloud-based solutions for modernizing IT infrastructure and applications, focusing on compute options, development challenges, and API integration for improved scalability and innovation.
Explore compute resources and load balancing in Google Cloud, comparing with Azure solutions. Hands-on practice configuring VMs, managed instance groups, and load balancers for cloud architects.
Explore compute resources and load balancing in Google Cloud, comparing with AWS solutions. Hands-on practice configuring VMs, load balancers, and managed instance groups for cloud architects and engineers.
Learn to build, package, and deploy containerized applications on Google Cloud, focusing on best practices, Cloud Run, and Google Kubernetes Engine.
Learn to build and secure event-driven applications using Eventarc on Google Cloud. Create triggers, route events, and deploy receiver services using CloudEvents format through lectures and hands-on labs.
Learn techniques for monitoring and optimizing infrastructure and application performance in Google Cloud, including full-stack monitoring, log management, debugging, tracing, and profiling.
Explore cloud computing fundamentals, Google Cloud architecture, and various compute options for building applications in this comprehensive introduction to cloud technology.
Learn about the attention mechanism in neural networks, its applications in machine learning tasks, and how it enhances performance in various AI applications.
Comprehensive preparation for the Google Workspace Administrator certification exam, covering key topics through readings, diagnostics, and personalized study planning.
Learn to create large-scale visual effects rendering using Google Cloud's infrastructure. Explore Compute Engine, managed instance groups, and storage for cost-effective, on-demand rendering solutions.
Explore Vertex AI Studio for generative AI prototyping, including Gemini applications, prompt design, and model tuning through demos and hands-on practice.
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video <A HREF="https://youtu.be/s0-pfuXj1aA">Build Apps at Scale with Google App Engine</A>.
Visualize the Google Cloud Cortex Data Foundation for SAP by viewing reports pre-installed in a Looker instance
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