2 years ago

Category: Software, Business, Microsoft, Kubernetes, Infrastructure, artificial-intelligence

In this blog post, we’ll talk about AI at the edge and why it matters to developers; the core technologies to support Applied AI and IoT within the Azure ecosystem; and how to get started learning about Microsoft Azure and IoT and skilling up on Applied AI for IoT. The use of AI (artificial intelligence) with IoT is one of the identified growth trends with a rising need for three types of skills: What does this mean to you as a developer?

In this blog post, we’ll focus on the topic of Artificial Intelligence at the Edge and leave you with some great resources to jumpstart your IoT exploration, including official course content from Microsoft Learn and A Cloud Guru resources that can help you earn your AZ-220 Azure IoT Developer Certification.

This subject of AI at the edge was one of the themes for #JulyOT, 31 days of content and projects to inspire those curious about IoT to pursue personal projects within the IoT realm and share their learnings with the community to motivate others.

Explore the intro modules identified below, and the two options for integrating Cognitive Services with IoT solutions – on the backend (triggered by Azure Functions, in the cloud) or on the IoT edge device (created on cloud, deployed to Edge).