AI-900 Azure AI Fundamentals - Artificial Intelligence - Machine learning - NLP - Microsoft Azure - Windows Azure

🗂 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
• 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

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