This course will provide foundational level knowledge on cloud concepts; core Azure services; and Azure management and governance features and tools. For IT personnel who are just beginning to work with Azure. This audience wants to learn about our offerings and get hands-on experience with the product. This course primarily uses the Azure portal and command line interface to create resources and does not require scripting skills. Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator. This course combines lecture, demonstrations, and hands-on labs. This course will also help prepare someone for the AZ-900 exam. in our TESTs you will be able to pass your exam easily 

The Azure AI Engineer Associate certification validates the skills and knowledge required to build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Candidates understand the components that make up the Azure AI portfolio. As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI. Your responsibilities include participating in all phases of AI solutions development, including: Requirements definition and design Development Deployment Integration Maintenance Performance tuning Monitoring You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to: Build complete and secure end-to-end AI solutions. Integrate AI capabilities in other applications and solutions. As an Azure AI engineer, you have experience developing solutions that use languages such as: Python C# You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should: Understand the components that make up the Azure AI portfolio and the available data storage options. Be able to apply responsible AI principles.