Azure

Pluralsight – From Zero To AI Hero Microsoft Azure Plus AI Conference 2019

Pluralsight – From Zero To Ai Hero Microsoft Azure Plus Ai Conference 2019-NOLEDGE
English | Size: 145.53 MB
Category: Tutorial


Notes: Don’t miss the upcoming Microsoft Azure + AI event on December 8-10 2020 in Las Vegas, Nevada. Automated ML is an emerging field in Machine Learning that helps developers and new data scientists with little data science knowledge build Machine Learning models and solutions without understanding the complexity of Learning Algorithm selection, and Hyper parameter tuning. With Azure Machine Learning’s automated machine learning capability, given a dataset and a few configuration parameters you will get a trained high quality Machine Learning model for the dataset that you can use for Predictions. In this session with Rachel Kellam, you will learn how CBRE & Walgreen-Boots are using it for productivity gains empowering domain experts to build ML
based solutions and scale to build several models with Azure Machine Learning’s automated ML

Pluralsight – A Deep Dive Into Conversational AI Using Azure Bot Service And Cognitive Services

Pluralsight – A Deep Dive Into Conversational Ai Using Azure Bot Service And Cognitive Services-NOLEDGE
English | Size: 162.38 MB
Category: Tutorial


Notes: Microsoft Ignite 2019 | A Deep-dive into Conversational AI using Azure Bot Service and Cognitive Services | Darren Jefford
Enterprises have a significant need to deliver a conversational assistant tailored to their brand, personalized to their users, and made available across a broad range of devices and social canvases. In this session, we deep dive into building conversational AI solutions leveraging the latest tools from the Azure Bot Service and Cognitive Services. We also showcase how to build an end-to-end solution using the open-source Virtual Assistant that provides developers and enterprises a set of core foundational capabilities and full control over the end-user experience

Pluralsight – Java On Azure Building Spring Boot Microservices

Pluralsight – Java On Azure Building Spring Boot Microservices-NOLEDGE
English | Size: 221.57 MB
Category: Tutorial


Notes: Microsoft Ignite 2019 | Java on Azure: Building Spring Boot Microservices | Bruno Borges
Spring Boot and Spring Cloud are the de-facto choices for many companies building microservices using Java. In this session, we share our best practices and tools to go from development to production using Spring Boot and Azure, with a specific focus on microservices configuration resiliency and scalability in the cloud. We also cover monitoring and security and discuss how Spring Boot applications can scale and handle failure on Azure. If you are thinking about building microservices, this is a session you don’t want to miss

Pluralsight – Deep Dive With Data Migration Tools And Azure Database Migration Service

Pluralsight – Deep Dive With Data Migration Tools And Azure Database Migration Service-NOLEDGE
English | Size: 173.39 MB
Category: TUtorial


Notes: Microsoft Ignite 2019 | Deep Dive with Data Migration Tools and Azure Database Migration Service | Venkata Raj Pochiraju, Kuldeep Chauhan In this session we take a detailed look at the database migration lifecycle and show you how Microsoft has made it easy to migrate SQL Server instances to Azure with near-zero downtime. We take a deep dive into database discovery assessment and migration tools. Learn how to identify low-hanging fruit to migrate to Azure, determine the right Azure data target and size, and then migrate using Azure Migrate, Data Migration Assistant (DMA), Azure Database Migration Service (DMS) and related tools. See how to perform migrations across your data estate through live demos

Coursera – Google Cloud Fundamentals for Azure Professionals Core Infrastructure

Coursera – Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
English | Size: 600MB
Category: Tutorial


This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.