AI-900 Microsoft Azure AI Fundamentals Certification
AI-900 Microsoft Azure AI Fundamentals Preparation Course
4.57 (3118 reviews)
17,158
students
4.5 hours
content
Mar 2024
last update
$84.99
regular price
What you will learn
Students will be better prepared for the AI-900 certification exam
Students will learn the important aspects for what is required from an exam perspective
Students will be learning Fundamental concepts for Artificial Intelligence
Why take this course?
Release v2.0 - July 2023
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Quiz questions have also been added to the end of each section.
This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals
This course has contents for the Exam AI-900
The objectives covered in this course are
Describe AI workloads and considerations (15-20%) - Here we will discuss the the basics on AI-based workloads.
Describe fundamental principles of machine learning on Azure (30-35%) - Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.
Describe features of computer vision workloads on Azure (15-20%) - Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) - Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.
Describe features of conversational AI workloads on Azure (15-20%) - Here we will see the basics on the QnA Maker service and the Bot Framework.
There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.
Content
Introduction and basics on Azure
Important Course instructions - Important
How is this course is structured
Introduction to Azure
The Azure Free Account
Concepts in Azure
Quick view of the Azure portal
Lab - An example of creating a resource in Azure
PDF Download
Describe AI workloads and considerations
Machine Learning and Artificial Intelligence
Prediction and Forecasting workloads
Anomaly Detection Workloads
Natural Language Processing Workloads
Computer Vision Workloads
Conversational AI Workloads
Microsoft Guiding principles for response AI - Accountability
Microsoft Guiding principles for response AI - Reliability and Safety
Microsoft Guiding principles for response AI - Privacy and Security
Microsoft Guiding principles for response AI - Transparency
Microsoft Guiding principles for response AI - Inclusiveness
Microsoft Guiding principles for response AI - Fairness
Section Quiz
Describe fundamental principles of machine learning on Azure
Section Introduction
Why even consider Machine Learning?
The Machine Learning Model
The Machine Learning Algorithms
Different Machine Learning Algorithms
Machine Learning Techniques
Machine Learning Data - Features and Labels
Lab - Azure Machine Learning - Creating a workspace
Lab - Building a Classification Machine Learning Pipeline - Your Dataset
Lab - Building a Classification Machine Learning Pipeline - Splitting data
Optional - Lab - Creating an Azure Virtual Machine
Lab - Building a Classification Machine Learning Pipeline - Compute Target
Lab - Building a Classification Machine Learning Pipeline - Completion
Lab - Building a Classification Machine Learning Pipeline - Results
Recap on what's been done so far
Lab - Building a Classification Machine Learning Pipeline - Deployment
Lab - Installing the POSTMAN tool
Lab - Building a Classification Machine Learning Pipeline - Testing
Lab - Building a Classification Machine Learning Pipeline - Testing - Resources
Lab - Building a Regression Machine Learning Pipeline - Cleaning Data
Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline
Lab - Building a Regression Machine Learning Pipeline - Results
Feature Engineering
Automated Machine Learning
Deleting your resources
Section Quiz
Describe features of computer vision workloads on Azure
Section Introduction
Azure Cognitive Services
Introduction to Azure Computer Vision solutions
A look at the Computer Vision service
Lab - Setting up Visual Studio 2019
Lab - Computer Vision - Basic Object Detection - Visual Studio 2019
Lab - Computer Vision - Basic Object Detection - Visual Studio 2019 - Resources
Lab - Computer Vision - Restrictions example
Lab - Computer Vision - Object Bounding Coordinates - Visual Studio 2019
Lab - Computer Vision - Object Bounding Coordinates-Visual Studio 2019-Resources
Lab - Computer Vision - Brand Image - Visual Studio 2019
Lab - Computer Vision - Brand Image - Visual Studio 2019 - Resources
Lab - Computer Vision - Via the POSTMAN tool
The benefits of the Cognitive services
Another example on Computer Vision - Bounding Coordinates
Another example on Computer Vision - Bounding Coordinates - Resources
Lab - Computer Vision - Optical Character Recognition
Face API
Lab - Computer Vision - Analyzing a Face
A quick look at the Face service
Lab - Face API - Using Visual Studio 2019
Lab - Face API - Using Visual Studio 2019 - Resources
Lab - Face API - Using POSTMAN tool
Lab - Face Verify API - Using POSTMAN tool
Lab - Face Find Similar API - Using POSTMAN tool
Lab - Custom Vision
A quick look at the Form Recognizer service
Lab - Form Recognizer
Section Quiz
Describe features of Natural Language Processing and Conversational AI workloads
Section Introduction
Natural Language Processing
A quick look at the Text Analytics
Lab - Text Analytics API - Key phrases
Lab - Text Analytics API - Key phrases - Resources
Lab - Text Analytics API - Language Detection
Lab - Text Analytics Service - Sentiment Analysis
Lab - Text Analytics Service - Entity Recognition
Lab - Text Analytics Service - Entity Recognition - Resources
Lab - Translator Service
A quick look at the Speech Service
Lab - Speech Service - Speech to text
Lab - Speech Service - Speech to text - Resources
Lab - Speech Service - Text to speech
Lab - Speech Service - Text to speech - Resources
Language Understanding Intelligence Service
Lab - Working with LUIS - Using pre-built domains
Lab - Working with LUIS - Adding our own intents
Lab - Working with LUIS - Adding Entities
Lab - Working with LUIS - Publishing your model
QnA Maker service
Lab - QnA Maker service
Bot Framework
Example of Bot Framework in Azure
Section Quiz
Exam Practice Section
About the exam
Practice Test 1
Practice Test 2
Screenshots
Reviews
Akshay
November 6, 2023
Although the course is good to establish understanding of AI, it needs a update after 2nd Nov 2023 to include new topics as per newly added topics.
Paul
October 28, 2023
Yes, really appreciate the developer tools subject matter.
BTW, passed the AI-900, score 900+ (passing is 700).
Harish
October 23, 2023
There is a lot of information missing in this material. AI fundamentals training material that Azure provides on their website is far better.
Farhana
October 4, 2023
I dont understand how to ask queries to the instructor
many things are unclear like i am unable to access the endpoints given in resources
Balaji
September 23, 2023
I am expecting more courses from your Guruji. Please upload videos on Amazon Web services , Google Cloud . I want to become master of cloud.
Andres
September 4, 2023
It's a very introductory course, easy to read and understand. Nevertheless, considering that the course is aimed to be very practical, it fails to provide some detailed/updated instructions into the use of some specific Azure resources.
The interface has some issues that make it difficult to finish the labs, as it does not recognize them as complete. In general, the labs are poorly written and all the examples are not working. The speaker seemed to speak slowly on purpose to make the course lengthy. Udemy has some great courses, but this is not an example of good quality.
Rahul
August 27, 2023
Passed the exam. Alan is simply the best instructor for Azure on Udemy. I have taken multiple courses from Alan, and passe all exams in 1st attempt. Alan explains the "What, Why and How" of every topic along with the summary with section and quiz is so helpful that you feel 100% confident for the exam and also the course helps you to do your job without any issues which is very important for me.
Alan - Hope you can create a course for AI-102 which will be so helpful and looking forward! Thank you!
Sathyapriya
May 4, 2023
The course had been amazing and I learnt a lot, thank you. But hearing 'we gonna' & 'over here' in every sentence was kind of distracting.
Anonymized
April 17, 2023
Awesome course contents and very well explained with proper examples. This course deserves 5+ rating.
Ramya
April 14, 2023
The video is getting stuck and getting an error message. Please contact back for the solution or please refund the money. I have screenshot where not able to attach. The video is not playing at all.
Nitin
March 4, 2023
Please update the content of chapters 28,29 etc... are not up to date.
Otherwise, you are very good teacher.
Łukasz
November 5, 2022
This is my second course from Alan and once again I am not disappointed. The first course was AZ - 900 and it helped me greatly in clearing certification. In this particular course everything is described clearly and is easy to follow. Keep up the good work!
Nic
October 27, 2022
I just returned from the exam and got 933. I made use of this course for content and another one with practice tests. This course is well worth it.
Jitendra
September 8, 2022
This one is good course to pass AI-900 exam. I have passed my exam with the help of this course.
The only point is accent of Alan, He has used 'you will go ahead', 'i will goahead', 'it will gohead' a lot in his every sentence. :D
Ken
July 21, 2022
Thank you Alan for your great course presentation and your dedication to get us all the resources we need to succeed in this subject area.I highly recommend this course and all the other Alan courses.God bless!
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3829288
udemy ID
2/6/2021
course created date
2/15/2021
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