Opleiding: Microsoft Azure AI Fundamentals AI-900 AI900

🗂 AI-900 Azure AI Fundamentals certificeringspakket| 🇬🇧 Taal: Engels | 🗓 Abonnement: per jaar | 🎯Vakgebieden: IT, persoonlijk, internet.📲 PC, mobiel, tablet | 🗓 Abonnement: 365 dagen toegang tot revolutionaire E-learning om het examen te halen. Laat je Introduceren door te Leren via 1 Leerportaal (LMS) met Gecertificeerde Docenten. Exclusief 24/7 Online Mentor en Uitdagende Cursus Testen en alle Tips & Tricks. Gegarandeerd altijd het Officieel Proefexamen en een Officieel Certificaat van Deelname.

Cursusinhoud

AI-900 - Azure AI Fundamentals: Azure Machine Learning Fundamentals

Course: 1 Hour, 7 Minutes

  • Course Overview
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Computer Vision in Azure
  • Natural Language Processing (NLP) in Azure
  • Knowledge Mining in Azure
  • Document Intelligence in Azure
  • Generative AI in Azure
  • Ethical Considerations for AI
  • Challenges and Risks of AI
  • Responsible AI
  • Course Summary

AI-900 - Azure AI Fundamentals: Artificial Intelligence Concepts

Course: 1 Hour, 3 Minutes

  • Course Overview
  • Machine Learning (ML) Types
  • Data in Machine Learning
  • Labeled and Unlabeled Data
  • Data Features
  • Regression
  • Machine Learning Classification
  • Clustering
  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning
  • Course Summary

AI-900 - Azure AI Fundamentals: Artificial Intelligence Principles

Course: 1 Hour, 25 Minutes

  • Course Overview
  • Fairness in Artificial Intelligence (AI) Algorithms
  • Reliability and Safety in AI Algorithms
  • Privacy and Security and Responsible AI
  • Inclusiveness in AI Algorithms
  • Transparency in AI Algorithms
  • Accountability in AI Algorithms
  • Azure AI Capabilities
  • MLOps
  • Azure AI Model Management
  • Azure AI Model Training
  • Ensuring Azure AI Content Safety
  • Exploring Azure Reinforcement Learning
  • Course Summary

AI-900 - Azure AI Fundamentals: Machine Learning with Azure AI

Course: 1 Hour, 31 Minutes

  • Course Overview
  • Machine Learning (ML) Services on Azure
  • Azure Machine Learning Studio
  • Exploring Azure Machine Learning Studio Features
  • Azure OpenAI Studio
  • Exploring Azure OpenAI Studio Features
  • Creating an Azure Machine Learning Studio Account
  • Creating Azure AI Service Resources
  • Working with Azure AI Services
  • Authenticating Azure AI Services
  • Azure Machine Learning Workloads
  • Compute Resources
  • Dataset Management
  • Managing Pipelines in Azure ML Studio
  • Algorithms Used for Training
  • Course Summary

AI-900 - Azure AI Fundamentals: Introduction to Azure Machine Learning Studio

Course: 55 Minutes

  • Course Overview
  • Azure Service Experiments
  • Classification Evaluation Metrics
  • Regression Evaluation Metrics
  • Creating an Azure Machine Learning Workspace
  • Creating a Compute Resource
  • Creating a Dataset
  • Creating Model Packages
  • Model Deployment
  • Course Summary

AI-900 - Azure AI Fundamentals: Working with Azure Machine Learning Studio

Course: 1 Hour, 30 Minutes

  • Course Overview
  • Ingesting Data from Azure Storage
  • Ingesting Data from Azure Blob Storage
  • Labeling Data in Azure Machine Learning Studio
  • Running and Testing Scripts
  • Creating an Automated Model
  • Running an Automated Experiment
  • Selecting the Best Model
  • Deploying a Model as a Predictive Service
  • Testing a Predictive Service
  • Managing Compute Resources and Data Stores
  • Managing Datasets and Experiments
  • Managing Pipelines and Models
  • Managing Endpoints
  • Course Summary

AI-900 - Azure AI Fundamentals: Using Azure Machine Learning Designer

Course: 1 Hour, 5 Minutes

  • Course Overview
  • Azure Machine Learning Designer
  • Working with Datasets in Azure Machine Learning Designer
  • Selecting Dataset Features in Azure Machine Learning Designer
  • Adding Data Transformations in Azure Machine Learning Designer
  • Normalizing Data in Azure Machine Learning Designer
  • Viewing Normalized Data in Azure Machine Learning Designer
  • Splitting Datasets in Azure Machine Learning Designer
  • Using Regression Models in Azure Machine Learning Designer
  • Using Classification Models in Azure Machine Learning Designer
  • Using Clustering Models in Azure Machine Learning Designer
  • Course Summary

AI-900 - Azure AI Fundamentals: Evaluating Models in Azure AI

Course: 1 Hour, 36 Minutes

  • Course Overview
  • Adding a Scoring Model
  • Exploring Model Evaluation Types
  • Using Evaluators
  • Running Pipelines
  • Analyzing Evaluation Output
  • Exploring Evaluation Results
  • Visualizing Data in a Scoring Model
  • Assessing Regression Model Results
  • Investigating Classification Model Results
  • Interpreting Clustering Model Results
  • Creating an Inference Pipeline
  • Adding a Web Service Output
  • Deploying Predictive Services
  • Testing Predictive Services
  • Course Summary

AI-900 - Azure AI Fundamentals: Azure Natural Language Processing

Course: 1 Hour, 25 Minutes

  • Course Overview
  • Natural Language Processing (NLP)
  • Use Cases for Natural Language Processing
  • Azure AI Language Service
  • Azure AI Speech Service
  • Working with Azure Text Analytics
  • Using Key Phrase Extraction
  • Using Named Entity Recognition (NER)
  • Using Sentiment Analysis and Opinion Mining
  • Training a Language Model
  • Exploring Azure AI Translator Service
  • Translating Text
  • Translating Speech
  • Course Summary

AI-900 - Azure AI Fundamentals: Creating a Conversational AI Bot

Course: 1 Hour, 44 Minutes

  • Course Overview
  • Conversational AI Bots
  • Conversational Bot Use Cases
  • Creating a Knowledge Base Using QnA Maker
  • Populating and Training a Knowledge Base
  • Publishing and Testing a Knowledge Base
  • Creating a Bot for a Knowledge Base
  • Extending a Bot Framework
  • Testing a Bot
  • Using Application Insights
  • Publishing a Bot
  • Connecting Bots to Standard Channels
  • Connecting an Application to a Bot
  • Digital and Virtual Assistants
  • Creating a Virtual Assistant
  • Deploying and Testing a Virtual Assistant
  • Course Summary

AI-900 - Azure AI Fundamentals: Introduction to Azure AI Vision

Course: 1 Hour, 21 Minutes

  • Course Overview
  • Images and Image Processing
  • Azure AI Vision Service
  • Azure AI Custom Vision Service
  • Working with Azure AI Custom Vision
  • Azure Image Analysis
  • Azure Face Service
  • Azure Video Analysis
  • Azure AI Image Classification
  • Azure AI Object Detection
  • Azure AI Vision Studio
  • Getting Started with Azure AI Vision Studio
  • Course Summary

AI-900 - Azure AI Fundamentals: Getting Started with Azure AI Vision

Course: 1 Hour, 5 Minutes

  • Course Overview
  • Analyzing Images
  • Describing and Tagging Images
  • Training a Classifier Model
  • Evaluating a Classifier Model
  • Deploying and Testing a Model for Prediction
  • Training an Object Detection Model
  • Evaluating an Object Detection Model
  • Using a Model as a Service
  • Semantic Segmentation
  • Course Summary

AI-900 - Azure AI Fundamentals: Working with AI Vision

Course: 1 Hour, 9 Minutes

  • Course Overview
  • Facial Detection and Analysis
  • Azure AI Video Indexer Service
  • Getting Started with Azure AI Face Detection
  • Face and Age Detection
  • Getting Started with the Azure AI Video Indexer
  • Identifying Faces in Videos
  • Using Azure AI Face Service to Detect and Analyze Faces
  • Verifying Users with the Face Service
  • Azure AI Vision Spatial Analysis
  • Working with the Spatial Analysis Container
  • Course Summary

AI-900 - Azure AI Fundamentals: Azure Document & Optical Character Recognition

Course: 1 Hour, 24 Minutes

  • Course Overview
  • Azure Optical Character Recognition (OCR) API
  • Getting Started with Azure Optical Character Recognition
  • Reading Text
  • Reading Text from Photographs
  • Reading Text from Digitized Documents
  • Azure Document Intelligence Service
  • Working with Azure AI Document Intelligence
  • The Read API
  • Using the Pre-built Receipt Model
  • Using a Customer Form Recognizer Model
  • Identifying Fields on a Receipt
  • Processing Form Tables
  • Course Summary

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Verfijn je testvaardigheden met MeasureUp Exam Simulation, een geavanceerde tool die je een realistische examenervaring biedt. Oefen met nauwkeurig gemodelleerde vragen die de werkelijke examens nabootsen, zodat je kunt wennen aan de structuur en de druk. Met MeasureUp bereid je je niet alleen voor op je examen, je verhoogt ook je kansen op succes.

  • 150+ questions

Online Mentor

De online mentor kan al je specifieke technische vragen beantwoorden via chat of e-mail met betrekking tot je studie.
Online Mentor is 90 dagen of 365 dagen actief - na activering!

Tips, Tricks & Links

Maak gebruik van onze uitgebreide verzameling tips, trucs en links die speciaal zijn ontworpen om jouw voorbereiding op certificeringsexamens te ondersteunen. Deze resources bieden waardevolle inzichten en beproefde strategieën om je studie effectiever te maken. Versterk je leerervaring en benader je examens met vertrouwen!

Specificaties

Taal: Engels
Kwalificaties van de Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen
MeasureUp Examensimulatie: Ingebrepen
Online Virtuele labs: Ontvang 12 maanden toegang tot virtuele labs die overeenkomen met de traditionele cursusconfiguratie. Actief voor 365 dagen na activering, beschikbaarheid varieert per Training.
Tips & Tricks: Inbegrepen
Examen Quiz: Inbegrepen
Volledige training voor het officiële Examen: Ja
Lesduur: 19:20 uur
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online kennisbank 24/7
Certificering: Certificaat van deelname in PDF formaat
Prijs en Kosten: Cursusprijs zonder extra kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatie
Award Winning E-learning: Ja


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Aangeboden door
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Onderwerp
IT & Projectmanagement (abonnementen)
Alle abonnementen voor onbeperkt leren
Persoonlijke ontwikkeling (online abonnementen)
Internet, Design & Media (abonnementen)
Microsoft Azure
Niveau
MBO
Duur
12 maanden - 365 dagen - 24/7 lesduur 19:20 uur
Taal
en
Type product
cursus
Lesvorm
E-Learning
Aantal deelnemers
Min: 1
Keurmerken aanbieder
EC-Council Certified
EC-Council
Microsoft Learning Partner
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