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Azure AI Services

Course Summary

The Azure AI Services course introduces participants to the core Azure AI services, including Azure AI Vision, Language, Speech, Document Intelligence, and OpenAI services. Through interactive demonstrations, hands-on labs, and discussions, participants will gain the skills to build and deploy AI-powered solutions. The course is designed for developers who want to integrate AI capabilities into their applications efficiently and cost-effectively.

Prerequisites

In order to succeed in this course, you will need:

  • Familiarity with the Azure portal and creating resources
  • Proficiency in a programming language such as Python, JavaScript, or C#
  • Experience with sending requests and receiving responses from REST APIs
     
Purpose
Build and deploy AI-powered solutions with Azure Services.
Audience
Developers interested in integrating AI capabilities into their applications
Role
Software Developers | Software Engineers | Technical Managers
Skill level
Intermediate
Style
Lecture | Demonstrations | Group Disucssions | Labs
Duration
2 days
Related technologies
OpenAI | ML/AI

 

Course objectives
  • Provision and use Azure AI services
  • Build applications using services such as AI Vision, AI Language, and AI Speech
  • Integrate Document Intelligence with Azure AI Search
  • Utilize the Azure OpenAI Service for advanced text generation and conversational AI
  • Optimize AI services for cost efficiency and performance

What you'll learn:

In this Azure AI Services course, you'll learn:
  • Introduction to Azure AI Services
    • Overview of Azure AI capabilities and services
    • Key concepts in training and deploying AI models
    • Exploring real-world use cases across industries
  • AI Translator
    • Translate text between multiple languages and detect source language automatically
    • Experiment with translation staples and customize output using the Azure AI Translator Studio
    • Test translation workflows by processing multilingual datasets for insights and usability
  • AI Vision Services
    • Overview of AI Vision capabilities
      • Optical character recognition (OCR)
      • Object detection
      • Image tagging
      • Video summarization
    • Introduction to Azure Vision Studio
    • Test the analyzeImage and describeImage endpoints with sample images
  • AI Language Services
    • Analyze text for sentiment, key phrases, and language detection
    • Explore text summarization and translation for multilanguage applications
    • Process sample datasets to extract actionable insights
  • Document Intelligence
    • Extract structured data from unstructured documents using AI models
    • Process sample documents across supported pre-build types
    • Compare the efficiency of pre-built vs custom models for specific needs
  • Custom Vision
    • Build custom classifiers tailored to business-specific scenarios
    • Evaluate model performance using built-in tools and metrics
    • Train a custom model to classify small datasets
  • Speech Services
    • Process audio files to generate transcriptions or natural-sounding speech
    • Explore customization options for speech-to-text and text-to-speech
    • Use Speech-to-Text API to transcribe audio clips into actionable text
  • OpenAI Service
    • Explore Azure’s integration of OpenAI models like GPT for advanced text generation and analysis
    • Experiment with generating responses, summarizing text, and creating conversational workflows using the Azure OpenAI Studio
    • Integrate OpenAI capabilities into applications by calling REST APIs and working with prompts to solve specific business challenges

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