Are you searching for the best AI courses? Start your learning journey with Microsoft Azure AI Engineer Associate. Check the course details below!
About Microsoft
Develop your skillset and thrive. Explore free, hands-on training, resources, and Microsoft Certifications from Microsoft Learn—and level up at any stage in your career. Discover new ways to advance your knowledge of Microsoft products and services, then learn on your terms. Microsoft Learn helps you grow your skills, reach your goals, and find community.
Course Details
- Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services.
- Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
- These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.
- Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure.
- They should be familiar with all methods of implementing AI solutions.
- Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.
Skills Measured
- Plan and manage an Azure AI solution
- Implement image and video processing solutions
- Implement natural language processing solutions
- Implement knowledge-mining solutions
- Implement conversational AI solutions
Course Content
Prepare for AI engineering
- AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities.
- As an aspiring Azure AI Engineer, it’s important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.
Prerequisites
- Before starting this learning path, you should already have familiarity with Azure and the Azure portal and a basic understanding of software engineering.
- Course Duration: 40 mins
Provision and manage Azure Cognitive Services
Azure Cognitive Services are building blocks of AI functionality that you can integrate into your applications. In this learning path, you’ll learn how to provision, and secure. monitor, deploy cognitive services resources and use them to build intelligent solutions.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.
Prerequisites
- Familiarity with Azure and the Azure portal.
- Experience programming with C# or Python.
- If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
- Course Duration: 3hr 45 mins
Other Modules
- Process and translate the text with Azure Cognitive Services
- Process and Translate Speech with Azure Cognitive Speech Services
- Create a Language Understanding solution with Azure Cognitive Services
How to Join?
Interested candidates can join the course through this link.
