IT & Software
Showing 1993–2004 of 16328 results
Building Custom GitHub Actions
GitHub Actions is the official automation solution for GitHub projects. Unlock its full potential by creating your own custom actions. This course will teach you how to build real-world GitHub Actions using TypeScript and Docker.
Building Dashboards from Prometheus Data in Grafana
Well crafted dashboards offer key insights to users quickly and efficiently. This course will teach you to build useful dashboards with Prometheus data in Grafana.
Building Dashboards with Dash and Plotly
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Building Dashboards with flexdashboard
In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.
Building Dashboards with shinydashboard
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Building Data Science Skills with Generative AI
Upgrade your data science skills with Generative AI tools. This course will teach you to integrate Generative AI into your workflow, enhancing efficiency and analytical precision.
Building Data-driven Apps with AWS AppSync
This course will teach you how to use AWS AppSync to build data-driven applications by unifying and accessing all your data sources from one single service with realtime and offline data support
Building Data-driven React 17 Applications with Relay, GraphQL, and Flux
Build a full-stack JavaScript web application from scratch using React with Flux/Relay on the frontend and Node/Express with GraphQL and MongoDB on the backend.
Building Database Applications in Elixir with Ecto
Learn how to access a relational database from the Elixir application.
Building Database Applications in Elixir with Ecto
Learn how to access a relational database from the Elixir application.
Building Deep Learning Models on Databricks
In this course, you will learn to train neural network models using TensorFlow and PyTorch, perform distributed training using the Horovod framework, and perform hyperparameter tuning using Hyperopt.
Building Deep Learning Models Using PyTorch
PyTorch is an open source deep learning framework originally developed by the AI teams at Facebook. PyTorch offers high-level APIs which make it easy to build neural networks and great support for distributed training and prediction.