Azure AI - 103 Online Recorded Demo Video

How to create and train a LUIS (Language Understanding) model Building intelligent conversational applications requires natural language understanding (NLU). Microsoft Azure provides Language Understanding (LUIS), a cloud-based API service that allows developers to build applications capable of interpreting human language. In this article, we’ll explore how to create and train a LUIS model , and the key steps involved in designing, training, and deploying it for real-world AI solutions. Suppose you are learning through Microsoft Azure AI Online Training. In that case , you will quickly realize that LUIS plays a critical role in conversational AI, enabling apps, chatbots, and services to extract meaning from user input. Let’s break down the process step by step. How to create and train a LUIS (Language Understanding) model 1. Understanding the Basics of LUIS Before creating a model, it’s important to understand the key building blocks of LUIS: · ...

Manage keys and endpoints for Cognitive Services

July 03, 2025

Manage keys and endpoints for Cognitive Services Managing access to your Azure Cognitive Services is critical to securing AI-powered applications. Microsoft provides several tools and best practices to ensure your API keys and endpoints are protected and easily maintained. In this article, we’ll walk you through everything you need to know about how to manage keys and endpoints effectively, whether you're developing small apps or large-scale AI-driven systems. Manage keys and endpoints for Cognitive Services 1. Understanding Azure Cognitive Services Authentication These are generated when you create a Cognitive Services resource in the Azure portal. For developers enrolled in Microsoft Azure AI Online Training , understanding how to manage these credentials securely is a fundamental skill. Azure provides both key-based authentication and Azure Active Directory (Azure AD) options. 2. Accessing Keys and Endpoints via the Azure Portal Once your resource is created: · ...

What Are the Prerequisites for Becoming an Azure AI Engineer?

September 04, 2025

What Are the Prerequisites for Becoming an Azure AI Engineer? Introduction Artificial Intelligence is reshaping industries, and cloud platforms like Microsoft Azure play a major role in enabling scalable AI solutions. Many IT professionals aspire to step into this exciting career path by becoming an Azure AI Engineer . To succeed in this journey, one must understand the essential prerequisites that build the foundation for designing, implementing, and deploying AI solutions in the cloud. A strong start often comes from structured learning through Microsoft Azure AI Online Training , which provides hands-on exposure to real-world AI use cases. What Are the Prerequisites for Becoming an Azure AI Engineer? 1. Understanding Core AI and Machine Learning Concepts Before becoming an Azure AI Engineer, professionals must have a solid understanding of artificial intelligence and machine learning fundamentals. This includes knowledge of supervised and unsupervised learning, neural ...

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