Azure Mobile Development Enterprise Architecture
Do you use Cognitive Services or Machine Learning to architect and implement AI solutions involving natural language processing, speech, computer vision, bots, or agents?
Say no more, you can become a Microsoft Azure AI Engineer Associate! And if you don't use them, don't worry, you can learn and create powerful AI models!
In this session, we'll explore the Training Path for the AI-100 Microsoft Certification Exam by explaining the concepts and demos which will give you an insight for the certification. We'll get useful experience on:
* Azure Machine Learning Studio for publishing ML experiments.
* Azure Cognitive Services usage for speech translation, image classification, and texr evaluation tasks.
* Bots implementation with Azure Bot Service
We'll also talk about best-practices, recommendations and advices on Azure AI services in this session.
I'm a Microsoft MVP in Developer Technologies and AI. I am currently pursuing a PhD in Engineering Informatics at Tomas Bata University in Zlin, Czech Republic.
I've been developing .NET apps for +10 years. I find C# a really powerful language which allow us to create different kinds of software. I focus on mobile apps (Xamarin), cloud computing (Azure) and AI.
I enjoy sharing my knowledge with others.