AI-3003: Build a natural language processing solution with Azure AI Services
- Duration: 1 Day (8 Hours)
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Overview
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Prerequisites
AI-3003: Build a natural language processing solution with Azure AI Services Course Overview
Designed for software developers, the AI-3003 course packs a one-day punch, equipping you to build and deploy Natural Language Processing (NLP) solutions using Azure AI Services. Learn to analyze text data, build custom NLP models, craft chatbots with natural language understanding, and even integrate speech functionalities.
Intended Audience
- Software Developers
- Data Scientists
- Machine Learning Engineers
- Business Analysts/Product Managers
- IT Professionals
Learning objectives
- Craft NLP solutions using pre-built features and APIs in Azure AI Services.
- Develop custom NLP models for tasks like question answering and conversation understanding.
- Leverage Azure Language Studio or code to build and deploy these models.
- Analyze text data to extract valuable insights.
- Integrate speech recognition and text-to-speech functionalities for a more comprehensive NLP solution.
Benefits of taking AI-3003: Build a natural language processing solution with Azure AI Services Training
- Boost your NLP Expertise: Solidify your knowledge of Natural Language Processing (NLP) concepts and best practices.
- Streamline NLP Development: Leverage pre-built tools and APIs within Azure AI Services to expedite building NLP solutions.
- Craft Custom Applications: Gain the skills to design NLP applications specifically tailored to your unique needs.
- Enhance User Interactions: Integrate natural language understanding into your software, creating a more intuitive user experience.
- Expand Career Opportunities: Increase your value proposition in the job market with in-demand NLP skills.
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AI-3003: Build a natural language processing solution with Azure AI Services Course Modules
- Analyzing and translating text
- Build a question answering solution
- Build a conversational language understanding app
- Custom classification and named entity extraction
- Speech recognition, synthesis, and translation
AI-3003: Build a natural language processing solution with Azure AI Services Course Prerequisites
- Basic Programming: Familiarity with a programming language like Python or C# would be beneficial, especially if you plan to delve into custom NLP models or integrate your solution with other Azure services.
- Cloud Fundamentals: A general understanding of cloud computing principles would be useful as the course focuses on building solutions on the Azure cloud platform.
- Interest in AI: While the course doesn’t require in-depth AI knowledge, having a basic grasp of artificial intelligence concepts would be helpful for understanding how NLP works.
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