Intelligent Analytics and Automation with ML & AI

Machine learning products are being used daily, perhaps without realizing it. The future of machine learning is already here, so gearing yourself up with machine learning skills is a good move now. You and your teams can use Artificial Intelligence to deliver value to your customers. You too can build and deploy machine learning products…

Azure Synapse Analytics | 1-day Workshop

Cloud Analytics in the Age of Self-Service Data Science This Azure Synapse Analytics Training 1-day workshop is an Azure Synapse (DW) focused event with technical labs for the Azure Synapse Modern Data Warehouse inside the Azure Synapse platform. You will learn about the main concepts related to the Azure Synapse Data Warehouse pool. We’ll demo…

ML and AI for Software Developers

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. Deep learning is a subset of machine learning that relies on deep neural networks. It is how computers identify…

AI-100: Designing and Implementing an Azure AI Solution

An Azure AI engineer works with Data Engineers and Data Scientists to analyze requirements for AI cloud-based and hybrid AI solutions and implements solutions. They are aware of the various components that make up the Microsoft Azure AI portfolio and related open source frameworks and technologies. The engineer leverages their knowledge to recommend appropriate tools…

Machine Learning with Python

Python in Data Science is huge right now. This course covers the basics to get started looking with classification and regression in Machine Learning. We will use the popular Jupyter and scikit-learn tools to create models, train them, evaluate them, and finally interpret the results. We will use standard numeric evaluators as well as visualization…