Training Overview
Disclaimer: This course is independently developed and not affiliated with Microsoft. It covers concepts and skills that closely align with the objectives of Microsoft’s AI-3003: Develop natural language solutions in Azure training, making it a strong preparatory or complementary learning experience.
Design and Deploy Natural Language Solutions with Azure AI
This One-Day intermediate-level custom training equips developers, Analyst, Data & AI engineers, and Developers with the skills to build intelligent applications using Azure AI Language and Speech services. Over the course of ~6 hours, participants will gain hands-on experience with natural language processing (NLP), conversational AI, translation, speech recognition, and generative audio applications. By the end, learners will be equipped to design, deploy, and optimize language-based solutions across diverse business scenarios.
Before enrolling in this custom training, it's ideal to have a working familiarity with Azure and the Azure portal, along with basic programming experience in languages such as Python, C#, or JavaScript. these foundational skills will help you navigate the platform efficiently and implement intelligent language solutions with confidence.
Module Breakdown:
Analyze Text with Azure AI Language: Learn to extract semantic insights from text to detect language, extract key phrases, analyze sentiment, and identify entities using Azure AI Language.
Create Question Answering Solutions: Build apps that respond to user queries using natural language, leveraging prebuilt and custom question answering capabilities.
Build a Conversational Language Understanding Model: Train CLU models to interpret user intent and extract relevant information from conversational input.
Create Custom Text Classification Solutions: Develop custom classifiers to categorize text based on business-specific labels and use cases.
Custom Named Entity Recognition: Build models that identify and extract domain-specific entities from unstructured text.
Translate Text with Azure AI Translator: Enable multilingual support by translating text across languages using Azure’s Translator service.
Create Speech-Enabled Apps: Use speech-to-text and text-to-speech APIs to build applications that understand and generate spoken language.
Translate Speech with Azure AI Speech: Extend speech capabilities to include real-time translation of spoken input into multiple languages.
Develop Audio-Enabled Generative AI Applications: Explore generative AI for audio—build apps that interpret tone, intent, and language from spoken input and respond intelligently.