Showing 3613–3624 of 4482 results

Simple Steps to Building Modern Applications with Docker
Going from the novice to docker container hero

Simplified .NET Background Tasks with Hangfire 1
Need a solution for long running/scheduled background .NET jobs? Hangfire is a framework that can be used to reliably create, process, and manage asynchronous .NET background jobs. In this course, learn how to use Hangfire in your .NET applications.

Simplifying State Management in React Native
Learn techniques for simplifying state management in React Native applications, focusing on effective data handling and UI responsiveness.

Simplifying State Management in React Native
Learn strategies to simplify state management in React Native applications, focusing on best practices and efficient patterns.

Simulating Production Workloads with SQL Server Distributed Replay
The ability to recreate a production database workload on another server is an incredibly useful tool to have. In this course, you will learn to do this with ease on SQL Server’s Distributed Replay.

Single Page Applications with Vue.js 2
Vue.js became quickly one of the most popular JavaScript frameworks. In this course, you'll create a Single Page Application from start to finish using this flexible, yet powerful framework.

Site Reliability Engineering: Measuring and Managing Reliability
In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget.

Slowdown Is the New Outage
This session compares slowdowns vs. outages and the need for insight more than observability. By understanding the difference, you'll be ready to drive agile applications, gain funding for lowering technical debt, and focus on customer retention.

Small Datasets in Machine Learning
Explore techniques and best practices for machine learning with small datasets.

Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability to extract insights from data.

Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs. This is the fourth course of the Data Engineering on Google Cloud series.

Smart Contracts Development
Master smart contract development with hands-on experience in coding, testing, and deploying self-executing contracts on blockchain networks.