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: : Artificial Intelligence & Machine Learning

Course: 1 Hour, 44 Minutes

• Course Overview
• Artificial Intelligence
• Machine Learning
• Datasets and Data Manipulation
• Labeled vs. Unlabeled Data
• Features in Data
• Machine Learning Using Regression
• Machine Learning Using Classification
• Machine Learning Using Clustering
• Supervised Machine Learning
• Unsupervised Machine Learning
• Reliability and Safety in AI Algorithms and Use
• Transparency in AI Algorithms and Use
• Privacy and Security in Responsible AI
• Inclusiveness in AI Algorithms and Use
• Fairness in AI Algorithms and Use
• Accountability in AI Algorithms and Use
• Course Summary

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

Course: 1 Hour, 52 Minutes

• Course Overview
• Machine Learning Services Provided by Azure
• Azure Machine Learning Studio
• Signing up for an Azure ML Studio Account
• Inspecting the Azure Machine Learning Features
• Features of the Computer Vision Service
• Features of the Custom Vision Service
• Features of the Face Service
• Features of the Form Recognizer Service
• Identifying Azure ML Workloads
• Compute Resources
• Creating and Managing Datasets in Azure ML Studio
• Managing Pipelines in Azure ML Studio
• Algorithms Used for Model Training
• Azure ML Services Experiments
• Interpreting Evaluation Metrics for Classification
• Interpreting Model Evaluation Metrics for Regression
• Course Summary

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

Course: 1 Hour, 31 Minutes

• Course Overview
• Machine Learning Services Provided by Azure
• Azure Machine Learning Studio
• Signing up for an Azure ML Studio Account
• Inspecting the Azure Machine Learning Features
• Features of the Computer Vision Service
• Features of the Custom Vision Service
• Features of the Face Service
• Features of the Form Recognizer Service
• Identifying Azure ML Workloads
• Compute Resources
• Creating and Managing Datasets in Azure ML Studio
• Managing Pipelines in Azure ML Studio
• Algorithms Used for Model Training
• Azure ML Services Experiments
• Interpreting Evaluation Metrics for Classification
• Interpreting Model Evaluation Metrics for Regression
• Course Summary

AI-900: Azure AI Fundamentals: Authoring with the Azure ML Studio Designer

Course: 1 Hour, 11 Minutes

• Course Overview
• Creating and Using a Dataset in Azure ML Designer
• Selecting Dataset Features in Azure ML Designer
• Adding Data Transformations in Azure ML Designer
• Normalizing and Cleaning Data in Azure ML Designer
• Viewing Normalized & Transformed Data in ML Designer
• Splitting a Dataset for Testing and Evaluation
• Using a Regression Model in Azure ML Designer
• Using a Classification Model in Azure ML Designer
• Using a Clustering Model in Azure ML Designer
• Course Summary

AI-900: Azure AI Fundamentals: Evaluating Models with the ML Designer

Course: 2 Hours, 3 Minutes

• Course Overview
• Adding and Using Scoring on Models
• Model Evaluation Types
• Using Evaluators on the Model
• Running a Pipeline
• Analyzing the Evaluation Results Output and Logs
• Exploring the Evaluation Results Details
• Visualizing the Data in the Scoring Model
• Investigating Results from a Regression Model
• Interpreting Results from a Classification Model
• Investigating Results from a Clustering Model
• Creating an Inference Pipeline
• Adding a Web Service Output
• Deploying a Predictive Service
• Testing a Predictive Service
• Course Summary

AI-900: Azure AI Fundamentals: Anomaly Detection

Course: 1 Hour, 28 Minutes

• Course Overview
• Anomaly Detection
• Challenges of Anomaly Detection
• Azure Anomaly Detector Cognitive Service
• Navigating the Azure Anomaly Detector Service
• Creating an Azure Anomaly Detection Service Project
• Integrating Time Series Data
• Training a Best-fitting Detection Model
• Deploying Anomaly Detection as a Service
• Testing and Evaluating the Detection Service
• Customizing the Anomaly Detection Service
• Course Summary

AI-900: Azure AI Fundamentals: Natural Language Processing

Course: 1 Hour, 6 Minutes

• Course Overview
• Natural Language Processing
• Uses of Natural Language Processing
• Azure NLP Services
• Intents and Entities
• Training a Language Model
• Using the Text Analytics Service
• Azure Translator Service
• Using the Translator Service to Translate Text
• Using the Translator Service to Translate Speech
• Course Summary

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

Course: 2 Hours, 2 Minutes

• Course Overview
• Conversational AI Bots
• Uses for a Conversational Bot
• Creating a Knowledgebase Using QnA Maker
• Populating and Training a Knowledgebase
• Publishing and Testing a Knowledgebase
• Creating a Bot for a Knowledgebase
• Extending a Bot Framework
• Testing a Bot
• Configuring and Using Application Insights
• Publishing a Bot
• Connecting the Bots to Standard Channels
• Connecting an Application Directly to the Bot
• Digital and Virtual Assistants
• Creating a Simple Virtual Assistant
• Deploying and Testing a Virtual Assistant
• Course Summary

AI-900: Azure AI Fundamentals: Computer Vision

Course: 1 Hour, 23 Minutes

• Course Overview
• Computer Vision
• Azure Computer Vision Services
• Computer Vision Models
• Classify and Detect Objects
• Analyzing Images Using Computer Vision Service
• Describing and Tagging Images
• Training a Classifier Model
• Evaluating a Classifier Model
• Testing and Using a Model for Prediction
• Training an Object Detection Model
• Evaluating an Object Detection Model
• Using the Model as a Service
• Semantic Segmentation
• Course Summary

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

Course: 1 Hour, 55 Minutes

• Course Overview
• Face Detection
• Using Computer Vision for Face and Age Detection
• Using Video Indexer to Identify Faces in Videos
• Using the Face Service to Detect and Analyze Faces
• Optical Character Recognition API
• Using Computer Vision to Read Text
• Using Computer Vision to Read Text from Photographs
• Reading Text from Digitized Documents
• Form Recognizer Service
• Read API
• Using the Pre-built Receipt Model
• Using a Custom Form Recognizer Model
• Identifying Specific Fields and Types on a Receipt
• Processing Tables on Forms
• Course Summary

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• 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

Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.