This training is available on request. Let us know and we will arrange a date and format (online/in-person).
Develop AI solutions in Azure
AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction.
Enquire about the date and quotation
Who is it for?
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.
Acquired skills
- Describe considerations for AI-enabled application development
- Create, configure, deploy, and secure Azure Cognitive Services
- Develop applications that analyze text
- Develop speech-enabled applications
- Create applications with natural language understanding capabilities
- Create QnA applications
- Create conversational solutions with bots
- Use computer vision services to analyze images and videos
- Create custom computer vision models
- Develop applications that detect, analyze, and recognize faces
- Develop applications that read and process text in images and documents
- Create intelligent search solutions for knowledge mining
Scope of training
- Develop generative AI apps in Azure
- Develop AI agents on Azure
- Develop natural language solutions in Azure
- Develop computer vision solutions in Azure
- Develop AI information extraction solutions in Azure
Enquire about the date and quotation
This training is available on request. Let us know and we will arrange a date and format (online/in-person).
Enquire about the date and quotation
This training is available on request. Let us know and we will arrange a date and format (online/in-person).