Microsoft Azure AI-900 Azure AI Fundamentals E-Learning CertKit
AI-900 Azure AI Fundamentals E-Learning CertKit
€299,00
Microsoft Azure

AI-900 Azure AI Fundamentals E-Learning CertKit

EUR 299,00 Excl. btw

AI-900 Azure AI Fundamentals E-Learning Gecertificeerde docenten Quizzen Online mentor MeasureUp testexamen Live Labs Tips trucs Certificaat

  • E-Learning - Online toegang: 365 dagen
  • Taal: Engels (US)
  • Certificaat van deelname
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Productomschrijving

AI-900 Azure AI Fundamentals E-Learning CertKit

De Training AI-900 Azure AI Fundamentals via een Speciale Certificeringspakket. 1 Jaar toegang tot revolutionaire E-Learning om het examen Gemakkelijk 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 Bekijk Achter de schermen alle Tips & Tricks.
Gegarandeerd altijd het Officieel Proefexamen en na de Training een Officieel Certificaat van Deelname. Optioneel Livelabs(meerprijs)


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
Creating an Azure ML Workspace
Creating a Compute Resource Using Azure ML Studio
Creating and Using a Dataset in Azure ML Studio
Ingesting Data from Azure Storage
Ingesting Data from Azure Blob Storage
Labeling Data in Azure ML Studio
Running and Testing Scripts Using Notebook
Creating an Automated ML Model
Running an Automated Experiment
Determining the Best Model after an Experiment
Deploying a Model as a Predictive Service
Testing the Predictive Service
Managing Compute Resources and Datastores
Managing Datasets and Experiments in Azure ML Studio
Managing Pipelines and Models in Azure ML Studio
Managing Endpoints in Azure ML Studio
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: 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

1 MinuteNot StartedActions

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 Model1
Identifying Specific Fields and Types on a Receipt
Processing Tables on Forms
Course Summary

MeasureUp Exam simulation

150+ questions

Tips & Tricks

Specificaties
Levertijd Binnen 1 werkdag
Online toegang 365 dagen
Lesduur 12:42 uur
Studiebelasting Variabel i.v.m. praktijkopdrachten.
Leermethoden Instructie video, Demonstratie video, Knowledge Base
Besturingssystemen Microsoft Windows, Google Chrome OS, Apple MacOS
Inbegrepen dienstverlening Contact met docent per mail en chat, Voortgangsrapportage, 24/7 online toegang
Ondersteunde browsers Internet Explorer, Edge, Firefox, Safari en Chrome
MOS Examen Mogelijk voor bijbehorend examennummer
Toegang tot docent Per e-mail en chat
Extra Opties Virtual Labs (indien beschikbaar)
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