AI-3003: Build a Natural Language Processing Solution with Azure AI Services

Overview Unlock the potential of natural language processing with Azure AI Services in this comprehensive course.

1 DayLive Online & In-CenterInstructor-led since 1983Course Code: AAI3A3

Course 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.

Who this is for

This 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 and 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 outline

Module 1: Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities Exercise - Analyze text Module 2: Create question answering solutions with Azure AI Language Understand prebuilt models Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance Exercise - Create a question answering solution Module 3: Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model Exercise - Build an Azure AI services conversational language understanding model Module 4: Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects Exercise - Classify text Module 5: Custom named entity recognition Understand custom named entity recognition Label your data Train and evaluate your model Exercise - Extract custom entities Module 6: Translate text with Azure AI Translator service Provision an Azure AI Translator resource Understand language detection, translation, and transliteration Specify translation options Define custom translations Exercise - Translate text with the Azure AI Translator service Module 7: Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language Exercise - Create a speech-enabled app Module 8: Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations Exercise - Translate speech

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Live Online & In-Center