- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
- Data
Designing Microsoft Azure AI Solutions
Microsoft Azure offers a robust and powerful AI platform. In order to use it effectively, you will need to understand how the Azure service offering fits together to provide a complete platform for your AI solution.
This path addresses the design elements around AI solutions as they are implemented with Microsoft Azure, including service offerings and features, security implementations, machine learning workflow design, and edge computing.
Content in this path
Beginner
The courses in this section will give you a rudimentary introduction to the field of Microsoft Azure services that will play a role in your AI solution. In addition, these courses will help you identify the operational considerations of your solution, such as deployment, monitoring, and maintenance.
Intermediate
These courses teach you how to design and operationalize the machine learning components of your AI solution on Microsoft Azure.
Advanced
In this section, you will learn how to build out a network of data ingestion sources using Intelligent Edge, as well as how to secure the data and operations of your AI solution.
Try this learning path for free
What You'll Learn
- Choosing the appropriate Microsoft Azure services and features for your AI business needs
- Designing security into the AI solution
- Applying version control to your AI solution
- Operationalizing your AI solution as interacting Microsoft Azure services
- This skill path is intended for learners with experience designing AI solutions, but who are novice with regards to designing them against Microsoft Azure. Prior knowledge of machine learning principles and data science workflows is expected.
- Machine Learning
- Data Science
- Principles of DevOps
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