Certification training

AI-900AI-900: Microsoft Azure AI Fundamentals

Prepare for your Microsoft exam with a structured video course built for focused study, topic review, and repeatable progress before exam day.

85Lectures
5h 40mDuration
MicrosoftVendor
AI-900: Microsoft Azure AI Fundamentals course cover Best seller
Microsoft certification training AI-900 85 lessons arranged in a guided course path
Course overview

Study with a clear path.

Move through focused sections, review lecture timing, and return directly to the objectives that need more work.

Sequenced lessons

Follow the course in order or jump directly to the section you need to revisit.

Video-first prep

Use concise lecture blocks for technical review before moving into exam practice.

Fast access

Your purchased course becomes available in the member area after confirmed payment.

Curriculum

Course sections.

6 sections, 85 lessons, and lecture-level duration details.

01 Introduction to Azure 5m
02 The Azure Free Account 5m
03 Concepts in Azure 4m
04 Quick view of the Azure portal 4m
05 Lab - An example of creating a resource in Azure 11m

01 Machine Learning and Artificial Intelligence 2m
02 Prediction and Forecasting workloads 1m
03 Anomaly Detection Workloads 1m
04 Natural Language Processing Workloads 2m
05 Computer Vision Workloads 1m
06 Conversational AI Workloads 1m
07 Microsoft Guiding principles for response AI - Accountability 2m
08 Microsoft Guiding principles for response AI - Reliability and Safety 1m
09 Microsoft Guiding principles for response AI - Privacy and Security 1m
10 Microsoft Guiding principles for response AI - Transparency 1m
11 Microsoft Guiding principles for response AI - Inclusiveness 1m
12 Microsoft Guiding principles for response AI - Fairness 1m

01 Section Introduction 1m
02 Why even consider Machine Learning? 4m
03 The Machine Learning Model 9m
04 The Machine Learning Algorithms 9m
05 Different Machine Learning Algorithms 3m
06 Machine Learning Techniques 4m
07 Machine Learning Data - Features and Labels 5m
08 Lab - Azure Machine Learning - Creating a workspace 6m
09 Lab - Building a Classification Machine Learning Pipeline - Your Dataset 11m
10 Lab - Building a Classification Machine Learning Pipeline - Splitting data 7m
11 Optional - Lab - Creating an Azure Virtual Machine 9m
12 Lab - Building a Classification Machine Learning Pipeline - Compute Target 6m
13 Lab - Building a Classification Machine Learning Pipeline - Completion 6m
14 Lab - Building a Classification Machine Learning Pipeline - Results 8m
15 Recap on what's been done so far 2m
16 Lab - Building a Classification Machine Learning Pipeline - Deployment 7m
17 Lab - Installing the POSTMAN tool 4m
18 Lab - Building a Classification Machine Learning Pipeline - Testing 6m
19 Lab - Building a Regression Machine Learning Pipeline - Cleaning Data 9m
20 Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline 3m
21 Lab - Building a Regression Machine Learning Pipeline - Results 3m
22 Feature Engineering 3m
23 Automated Machine Learning 6m
24 Deleting your resources 2m

01 Section Introduction 2m
02 Azure Cognitive Services 1m
03 Introduction to Azure Computer Vision solutions 3m
04 A look at the Computer Vision service 5m
05 Lab - Setting up Visual Studio 2019 4m
06 Lab - Computer Vision - Basic Object Detection - Visual Studio 2019 12m
07 Lab - Computer Vision - Restrictions example 2m
08 Lab - Computer Vision - Object Bounding Coordinates - Visual Studio 2019 3m
09 Lab - Computer Vision - Brand Image - Visual Studio 2019 2m
10 Lab - Computer Vision - Via the POSTMAN tool 5m
11 The benefits of the Cognitive services 2m
12 Another example on Computer Vision - Bounding Coordinates 2m
13 Lab - Computer Vision - Optical Character Recognition 5m
14 Face API 2m
15 Lab - Computer Vision - Analyzing a Face 3m
16 A quick look at the Face service 3m
17 Lab - Face API - Using Visual Studio 2019 6m
18 Lab - Face API - Using POSTMAN tool 5m
19 Lab - Face Verify API - Using POSTMAN tool 7m
20 Lab - Face Find Similar API - Using POSTMAN tool 8m
21 Lab - Custom Vision 9m
22 A quick look at the Form Recognizer service 2m
23 Lab - Form Recognizer 8m

01 Section Introduction 1m
02 Natural Language Processing 3m
03 A quick look at the Text Analytics 1m
04 Lab - Text Analytics API - Key phrases 4m
05 Lab - Text Analytics API - Language Detection 1m
06 Lab - Text Analytics Service - Sentiment Analysis 1m
07 Lab - Text Analytics Service - Entity Recognition 3m
08 Lab - Translator Service 3m
09 A quick look at the Speech Service 1m
10 Lab - Speech Service - Speech to text 4m
11 Lab - Speech Service - Text to speech 1m
12 Language Understanding Intelligence Service 2m
13 Lab - Working with LUIS - Using pre-built domains 8m
14 Lab - Working with LUIS - Adding our own intents 4m
15 Lab - Working with LUIS - Adding Entities 2m
16 Lab - Working with LUIS - Publishing your model 2m
17 QnA Maker service 2m
18 Lab - QnA Maker service 9m
19 Bot Framework 2m
20 Example of Bot Framework in Azure 3m

01 About the exam 5m
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