Hulp nodig ? Bel ons:+32 2 503 40 40
Back

Machine Learning for the Citizen Data Scientist

In this two-day course the basic concepts of Machine Learning for citizen data science are introduced. A number of tools are introduced that can be used to create and deploy ML models without a lot of Machine Learning or coding knowledge in Microsoft Azure. Azure Machine Learning Service allows your models to be created automatically (Automated Machine Learning), or you can create your ML pipelines using a drag-n-drop approach (Designer). Cognitive Services are shown as well. These are AI services and cognitive APIs that you can easily use to build intelligent apps, without the need to have AI knowledge. Finally, you will have a look at the AI features that are available in Power BI, such as built-in AI visuals, and the possibility to use a ML model that you created in Azure Machine Learning or Cognitive services, in Power Query.

Students will get an overview of the tools in Microsoft Azure that can help them creating Machine Learning Models without a lot of ML knowledge and without the need to code. They will learn about the basic concepts in Machine Learning.

Machine Learning uses the data collected by organizations to build models which help in predicting future events. From analyzing sales opportunities up to predicting web server activity: Machine Learning is widely applicable. As the interest for machine learning is growing, the audience that wants to create such models is getting more varied. Business people with an interest in machine learning are known as citizen data scientists.

This course is intended for people who plan on using machine learning without writing code. This can be BI developers as well as data analysts. Also project managers who which to get a better overview of Machine Learning possibilities in Azure can benefit from this course.

De volgende opleidingen zouden u ook kunnen interesseren:

AZ-400 : Azure DevOps Engineer

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

New

AZ-204 : Developing Solutions for Microsoft Azure

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

AZ-500 : Microsoft Azure Security Technologies

This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations.