About Natural Language Processing in Microsoft Azure course
Natural language processing powers applications that can see, hear, speak to, and understand users. With text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build natural language-aware applications. In this course, you'll learn how to use the Text Analytics service to perform advanced natural language processing on raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You'll learn how to recognize and synthesize speech using Azure Cognitive Services. You'll gain insight into how the automatic translation capabilities of AI solutions enable deeper collaboration by breaking down language barriers. You'll be introduced to the Language Understanding service and learn how to build applications that understand language. This course will help you prepare for the AI-900: Microsoft Azure AI Fundamentals exam. This course is the fourth in a five-course program that prepares you to pass the AI-900 certification exam. This course will teach you the core concepts and skills that are measured in the AI fundamentals exam areas.
This beginner course is suitable for IT personnel who are new to Microsoft Azure and want to learn about Microsoft Azure offerings and gain hands-on experience with the product. The Microsoft Azure AI Fundamentals course can be used to prepare for other Azure role-based certifications, such as Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but is not a prerequisite for either. This course is designed for candidates with both technical and non-technical backgrounds. No prior experience in data science or software engineering is required; however, some general programming knowledge or experience would be helpful. To successfully complete this course, you should have basic computer literacy and English language skills. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.
