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Designing and Implementing an Azure AI Solution
- Référence : MSAI102
- Durée : 5 jours (35 heures)
- Certification : AI-102
- Eligible CPF : Non
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
