AI-3003: Build a natural language processing solution with Azure AI Services
Reference : MS AI-3003Educational objectives
At the end of the AI-3003 training, participants should be able to:
- Deploy a language resource and use prebuilt models.
- Create a custom text classification solution.
- Create a custom named entity recognition (NER) solution.
Course programme
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications. To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language.
Who is this course for?
Public
The target audience for this course are:
- AI and data science enthusiasts eager to explore the world of AI solutions.
- AI developers and data scientists who want to understand AI document intelligent solutions.
- Software engineers aiming to integrate natural language services into applications.
- IT professionals looking to leverage Azure services for natural language using AI.
- Students learning about AI and cloud services.
- Technical team leads and managers overseeing AI project implementations.
Prerequisites
Participants should have a basic understanding of AI and natural language processing (NLP) concepts, familiarity with Azure AI services and their applications, and experience in programming with languages like Python or C#.