Designing and Implementing an Azure AI Solution

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Course Overview

The “Designing and Implementing an Azure AI Solution” course teaches participants how to design and build AI solutions using Microsoft Azure. Topics include machine learning, computer vision, and natural language processing using Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Databricks. The course is suitable for data scientists, developers, and AI engineers.

At the end of the training, participants will be able to:

  1. To understand the fundamentals of Artificial Intelligence and its applications in various domains.
  2. To learn about the Azure AI services and tools available for building AI solutions.
  3. To gain hands-on experience in designing and implementing AI solutions using Azure Cognitive Services, Azure Machine Learning, and Azure Databricks.
  4. To learn about the best practices for managing, deploying, and scaling AI solutions in Azure.
  5. To understand the ethical considerations and responsible use of AI in real-world scenarios.

Pre-requisite

  1. Knowledge of Azure Fundamentals
  2. Understanding of Azure storage technologies3.
  3. C# Knowledge

Duarion

3 days

Course Outline

  1. Overview of Azure Cognitive Services
  2. Creating a Cognitive Service on the Azure Portal
  3. Access and Test a Cognitive Service
  1. Introducing the Bot Service
  2. Creating a Basic Chat Bot
  3. Testing with the Bot Emulator
  1. Introducing QnA Maker
  2. Implement a Knowledge Base with QnA Maker
  3. Integrate QnA with a Bot
  1. Introducing Language Understanding
  2. Create a new LUIS Service
  3. Build Language Understanding with Intents and Utterances
  1. Overview of language understanding for AI applications
  2. Integrate LUIS and Bot to create an AI-based solution
  1. Understand Cognitive Services for Bot Interactions
  2. Perform Sentiment Analysis for your Bot with Text Analytics
  3. Detect Language in a Bot with the Language Cognitive Services
  4. Integrate Computer Vision with Bots

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