Cloud Academy – Using Azure AI Services to Build Customer Solutions

Cloud Academy – Using Azure AI Services to Build Customer Solutions
English | Size: 943.64 MB
Category: Tutorial


This learning path will give you in-depth tutorials on adding artificial intelligence to your customer-facing applications. I’ve chosen two of the most common ways that companies add artificial intelligence to their customer interactions. [Read more…]

Cloud Academy – AWS Developer Services for CI/CD

Cloud Academy – AWS Developer Services for CI/CD
English | Size: 1.71 GB
Category: Tutorial


This learning path demonstrates practical applications of AWS Developer tools and services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to create your own CI/CD environment consisting of services such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Additionally, you’ll learn how AWS’s IDE service, Cloud9 can be used to maintain and edit your project’s source code. [Read more…]

Cloud Academy – Applying Machine Learning and AI Services on AWS

Cloud Academy – Applying Machine Learning and AI Services on AWS
English | Size: 2.62 GB
Category: Tutorial


This learning path demonstrates practical applications of AWS machine learning and Artificial Intelligence services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to implement and experiment with Amazon Machine Learning platform and application services. [Read more…]

Pluralsight – Microsoft Azure For Node Js Developers Building Secure Services And Applications

Pluralsight – Microsoft Azure For Node Js Developers Building Secure Services And Applications-QUASAR
English | Size: 464.18 MB
Category: Tutorial


Node.js is a very popular platform and is a first-class citizen in Azure This course shows you how to build various kinds of secure applications that integrate with Azure AD, and make use of Azure facilities such as managed identity and Key Vault. Node.js in Azure can be used in many ways: web apps, functions, containers, and more While writing these applications, you’ll want to offer authentication and authorization using Azure AD. You’ll want to give your applications identities using managed identity so they can access secure resources in a secure, monitored, and controlled manner. You’ll want your application to save secrets, secrets that are well guarded come with great monitoring, and more. In this course, Microsoft Azure for Node.js Developers – Building Secure Services and Applications you’ll learn how to write Node.js applications that can work in any form, and integrate and make use of all the facilities that Azure AD offers. You’ll also find out how Node.js applications can be given managed identities, and how such applications can safely use secrets guarded by Azure Key Vault. By the end of this course, you’ll have a good understanding of how to make use of the facilities Azure offers helping you write secure applications in Node.js [Read more…]

Cloud Academy – Integrating Google Cloud Platform Services

Cloud Academy – Integrating Google Cloud Platform Services-STM
English | Size: 1.33 GB
Category: Tutorial


Cloud platforms are continuing to grow and evolve. There was a time when cloud platforms consisted of a few core services: virtual machines, blob storage, relational databases, etc. Cloud platforms are now much more complex with services being built on top of other services. Kubernetes Engine, for example, runs on top of Compute Engine and integrates with the Container Registry load balancers, and other services. With so many services of varying levels of complexity, it can be overwhelming to develop cloud-based solutions [Read more…]

Cloud Academy – Integrating Google Cloud Platform Services

Cloud Academy – Integrating Google Cloud Platform Services
English | Size: 1.33 GB
Category: Tutorial


Cloud platforms are continuing to grow and evolve. There was a time when cloud platforms consisted of a few core services: virtual machines, blob storage, relational databases, etc. Cloud platforms are now much more complex, with services being built on top of other services. Kubernetes Engine, for example, runs on top of Compute Engine and integrates with the Container Registry, load balancers, and other services. With so many services of varying levels of complexity, it can be overwhelming to develop cloud-based solutions. [Read more…]