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AI-102: Designing and Implementing a Microsoft Azure AI Solution

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

Preparation for exam: AI-102


Location

Helsinki


Training formats

Classroom
Remote


Duration

4 days


Price

1990 €

Target group

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

Prerequisites

Before attending this course, you must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

AI-102: Designing and Implementing a Microsoft Azure AI Solution – course outline

Learning Path 1: Prepare for AI engineering

  • Prepare to develop AI solutions on Azure

Learning path 2: Provision and manage Azure AI Services

  • Create and consume Azure AI Services
  • Secure Azure AI Services
  • Monitor Azure AI Services
  • Deploy Azure AI services in containers

Learning path 3: Process and translate text with Azure AI Services

  • Extract insights from text with the Azure AI Language service
  • Translate text with the Azure AI Translator service

Learning path 4: Process and Translate Speech with Azure AI Speech Services

  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service

Learning path 5: Create a Language Understanding solution with Azure AI Language

  • Build a conversational language understanding model
  • Publish and use an Azure AI Language Understanding app

Learning path 6: Build a question answering solution

  • Build a question answering solution

Learning path 7: Build custom text analytics solutions

  • Create a custom text classification solution
  • Custom named entity recognition

Learning path 8: Create conversational AI solutions

  • Create a bot with the Bot Framework SDK
  • Create a Bot with the Bot Framework Composer

Learning path 9: Create computer vision solutions with Azure AI Vision

  • Analyze images
  • Analyze video
  • Classify images
  • Detect objects in images
  • Detect, analyze, and recognize faces

Learning path 10: Extract text from images and documents

  • Read Text in Images and Documents with the Azure AI Vision Service
  • Extract data from forms with Azure Document Intelligence

Learning path 11: Implement knowledge mining with Azure Cognitive Search

  • Create an Azure Cognitive Search solution
  • Create a custom skill for Azure Cognitive Search
  • Create a knowledge store with Azure Cognitive Search
  • Enrich a search index using Language Studio
  • Implement advanced search features in Azure Cognitive Search
  • Build an Azure Machine Learning custom skill for Azure Cognitive Search
  • Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
  • Maintain an Azure Cognitive Search solution

Learning path 12: Develop Generative AI solutions with Azure OpenAI Service

  • Get started with Azure OpenAI Service
  • Build natural language solutions with Azure OpenAI Service
  • Apply prompt engineering with Azure OpenAI Service
  • Generate code with Azure OpenAI Service
  • Generate images with Azure OpenAI Service
  • Use your own data with Azure OpenAI Service
  • Responsible Generative AI

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