Archives: Webinars

Hybrid connectivity for on-premise datacenters to the cloud and cloud-to-cloud connectivity requires creating complex networks to ensure the networks are scalable and secure while still being cost-effective. Microsoft with Azure has created several technologies to simplify this process and support the network topology pattern known as “Hub and Spoke,” which uses a “hub” of shared…

Need to incorporate machine learning (ML) and AI into your next project, but not excited about learning Python? ML.NET is Microsoft’s open-source ML library for .NET developers. With it, you can create sophisticated machine-learning models, and you can use transfer learning to build neural networks that perform image classification and other computer-vision tasks. And you…

In this webinar, you will get an intro to Machine Learning using scikit-learn. Machine learning (ML) expands the boundaries of what’s possible by letting software do things that can’t be done algorithmically. From fraud detection and sentiment analysis to spam filtering and facial recognition, it touches lives every day. Learn the basics of machine learning…

As Public Cloud usage continues to grow, new problems emerge, and new tools arise to help us meet those challenges. However, these solutions have been prone to error and both misconfiguration and credential leaks have become genuine security issues, leading to data breaches, ransomware attacks, and data loss. Microsoft has introduced Azure Managed Identities as…

Microsoft is integrating all data ingestion tiers into one product: Azure Synapse. One of the services is Azure Synapse Analytics. In this webinar Armando Lacerda will go over the foundation elements of Synapse Analytics, it’s architecture, table types, performance tips, and best practices. You will learn how to get started and running in this new…

Developers are not network engineers, but the need for basic network knowledge by developers is even more important now, because the line between infrastructure and software has blurred. As deployment pipelines mature and they move to the cloud, entire environments can be deployed from scratch using automation, thus infrastructure must be “infrastructure as code”. Azure…

The ubiquity of Docker Containers has made knowledge of how to write Dockerfles an essential skill for developers, DevOps engineers, and even data scientists that use Docker containers for different kinds of workloads. While Dockerfiles on the surface don’t seem overly complicated, when not done optimally, it can leave a container exposed to a security…

It is time to make sense between Machine Learning and Artificial Intelligence. In this demo heavy session, Armando will explain when to use one or the other and will focus on the custom Machine Learning model creation and deployment. You will learn: • The difference between AI and ML • How data preparation is done…

Azure Kubernetes Service is Microsoft’s flagship offering for running containers on Azure. While Kubernetes itself is not too difficult to use, setting up a cluster can be daunting. Microsoft does the hard work for you by not only creating the cluster, but then manages it as well! In this webinar, we’ll help you get started…

There are many ways to run containers on Azure, and some of them are genuinely difficult. But there are a few options that make running containers on Azure rather simple: Azure Container Instances, Web Apps for Containers, and Azure Kubernetes Services. Here, we look at each of these options and talk about when you might…

Compared to most front-end JavaScript frameworks, React is relatively simple. With this simplicity, however, comes a lot of responsibility to choose or find your own tools and best practices. In this webinar, Chris Minnick will talk about some common best practices for everything from getting started with a React project to how to write tests…

In this webinar Eric Greene will demonstrate running a containerized ASP.NET Core 3 application on Azure using Cosmos DB (Mongo) to store data. You will learn the important aspects of using Mongo DB (Cosmos DB) with .NET Core 3 and hosting a ASP.NET Core 3 containerized web application on Azure.