Designing and Implementing an Azure AI Solution

LiveOnLine Certifiant
  • Référence : MSAI102
  • Durée : 5 jours (35 heures)
  • Certification : AI-102
  • Eligible CPF : Non
  • Logo MSF Learning

CONNAISSANCES PREALABLES

  • 1-Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • 2-Knowledge of either C#, Python, or JavaScript

PROFIL DES STAGIAIRES

  • Software engineers

OBJECTIFS

  • Create, configure, deploy, and secure Azure Cognitive Services
  • Integrate speech services
  • Integrate text analytics
  • Create language understanding capabilities with LUIS
  • Create and manage Azure Cognitive Search solutions
  • Create intelligent agents using the Bot Framework
  • Implement Computer Vision solutions

METHODES PEDAGOGIQUES

  • 6 à 12 personnes maximum par cours, 1 poste de travail par stagiaire
  • Remise d’une documentation pédagogique papier ou numérique pendant le stage
  • La formation est constituée d’apports théoriques, d’exercices pratiques et de réflexions

METHODES D'EVALUATION DES ACQUIS

  • Auto-évaluation des acquis par le stagiaire via un questionnaire
  • Attestation de fin de stage adressée avec la facture

FORMATEUR

Consultant-Formateur expert Azure

CONTENU DU COURS

1 - Create and Manage Azure Cognitive Services

  • Create and Manage Cognitive Service Accounts
  • Secure Cognitive Services
  • Deploy and Consume Cognitive Services Containers
  • Lab : Create Azure Cognitive Service Resources
  • Lab : Secure Azure Cognitive Services
  • Lab : Containerize Azure Cognitive Services

2 - Implement Computer Vision Solutions

  • Identify Faces and Expressions by using the Computer Vision API
  • Process Images with the Computer Vision Service
  • Evaluate Requirements for Implementing the Custom Vision APIs
  • Classify Images with the Microsoft CUstomg Vision Service
  • Extract Insights from Videos with the Video Indexer Service
  • Lab : Detect Faces
  • Lab : Create a Custom Vision Service
  • Lab : Extract Insights from Videos with Video Indexer

3 - Implement Language Analysis Solutions

  • Add Basic Conversational Intelligence to your App by using Language Understanding
  • Manage you Language Understanding Service
  • Use Containers for your Language Understanding Service
  • Discover Sentiment in Text with the Text Analytics API
  • Recognize Entities in Text with the Text Analytics API
  • Extract Key Phrases from Text with the Text Analytics API
  • Detect Language with the Text Analytics API
  • Lab : Implement the Language Understanding Service
  • Lab : Manage Your Language Understanding Service
  • Lab : Containerize Language Understanding
  • Lab : Perform Sentiment Analysis
  • Lab : Perform Entity Recognition
  • Lab : Perform Key Phrase Extraction
  • Lab : Perform Language Detection

4 - Implement Knowledge Mining Solutions

  • Create an Azure Cognitive Search Solution
  • Create an Enrichment Pipeline with Azure Cognitive Search
  • Create a Knowledge Store with Azure Cognitive Search
  • Lab : Create an Azure Cognitive Search Solution
  • Lab : Create an Enrichment Pipeline
  • Lab : Create a Knowledge Store

5 - Implement Conversational AI Solutions

  • Build a Chat Bot in the Azure Portal
  • Design a Bot Conversation Flow
  • Create a Bot with the Bot Framework Composer
  • Lab : Create a Bot with the Azure Portal
  • Lab : Create a Bot with the Bot Framework Composer

6 - Certification Microsoft Azure AI Engineer Associate

  • This course prepares tio the passage of the Microsoft certification Azure AI Engineer Associate