Overview

Unlock the potential of natural language processing with Azure AI Services in this comprehensive course. Designed for individuals with a background in Azure and programming, this course guides you through building intelligent applications that can analyze text, answer questions, understand conversations, and more. By the end of this course, you'll be proficient in creating advanced AI-driven solutions that enhance user interactions and automate complex tasks.Dive into hands-on modules that cover text analysis, question answering, conversational models, custom text classification, and speech-enabled applications. This course provides the practical knowledge and skills needed to implement and optimize AI solutions, ensuring you stay ahead in the rapidly evolving field of AI technology.Audience ProfileThis course is ideal for software developers, data scientists, and IT professionals with experience in Azure and programming in C# or Python. It is particularly beneficial for those looking to specialize in AI-driven applications and enhance their skills in natural language processing and speech technologies.Prerequisites: Familiarity with Azure and the Azure portal.Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete either C# Programming Level 1: Introduction for Non-Programmers or Python Programming Level 1: Introduction for Non-Programmers before taking this course.Course OutlineModule 1: Analyze text with Azure AI LanguageProvision an Azure AI Language resourceDetect languageExtract key phrasesAnalyze sentimentExtract entitiesExtract linked entitiesExercise - Analyze textModule 2: Create question answering solutions with Azure AI LanguageUnderstand prebuilt modelsUnderstand question answeringCompare question answering to Azure AI Language understandingCreate a knowledge baseImplement multi-turn conversationTest and publish a knowledge baseUse a knowledge baseImprove question answering performanceExercise - Create a question answering solutionModule 3: Build a conversational language understanding modelUnderstand prebuilt capabilities of the Azure AI Language serviceUnderstand resources for building a conversational language understanding modelDefine intents, utterances, and entitiesUse patterns to differentiate similar utterancesUse pre-built entity componentsTrain, test, publish, and review a conversational language understanding modelExercise - Build an Azure AI services conversational language understanding modelModule 4: Create a custom text classification solutionUnderstand types of classification projectsUnderstand how to build text classification projectsExercise - Classify textModule 5: Custom named entity recognitionUnderstand custom named entity recognitionLabel your dataTrain and evaluate your modelExercise - Extract custom entitiesModule 6: Translate text with Azure AI Translator serviceProvision an Azure AI Translator resourceUnderstand language detection, translation, and transliterationSpecify translation optionsDefine custom translationsExercise - Translate text with the Azure AI Translator serviceModule 7: Create speech-enabled apps with Azure AI servicesProvision an Azure resource for speechUse the Azure AI Speech to Text APIUse the text to speech APIConfigure audio format and voicesUse Speech Synthesis Markup LanguageExercise - Create a speech-enabled appModule 8: Translate speech with the Azure AI Speech serviceProvision an Azure resource for speech translationTranslate speech to textSynthesize translationsExercise - Translate speech