AI-900 (Azure AI Fundamentals) Training Course

سرفصل های دوره

Master AI and Machine Learning to excel in the AI-900 Exam

1. Introduction

1. Introduction.html

2.1 Azure AI-900 udemy maruchintech 20240619.pdf

2. Course Material.html

2. Chapter 1 Microsoft Certification Exam and Preparation

1. 1.What is Azure

2. 2-1.Learning Principles

3. 2-2.Overviews of Microsoft Certification Exam

4. 3-1.Basics of Cloud Computing

5. 3-2.Key Features of Cloud Computing

6. 3-3.Categories of Cloud Computing

7. 4-1.Management level and hierarchy

8. 4-2.Region and Availability Zone

9. 4-3.Azure Resource Manager

10. 5.Creating an Azure Account

11. [HOL] Notification

3. 1.Fundamentals of Machine Learning

1. Fundamentals of Machine Learning

2. Flow of Machine Learning

3. Azure Machine Learning

4. [HOL] Azure Machine Learning - AutoML1

5. [HOL] Azure Machine Learning - AutoML2

6. Azure Machine Learning Notebooks

7. [HOL] 1.Basic Operations

8. [HOL] 2.Environment Setup

9. [HOL] 3.Confirmation of data

10. [HOL] 4.Data Transformation

11. [HOL] 5.Handling Missing Data

12. [HOL] 6.Aggregation

13. [HOL] 7.Visualization

14. (Ref) Libraries for Machine Learning

Files.zip

4. 2.Clustering

1. 1. What is Cluster Analysis

2. 2. What is Ward Method

3. 3. Ward Method Practice

4. [HOL] Ward Method

5. 4. Results of Ward Method

6. 5. What is K-Means Method

7. [HOL] K-Means Method

8. 6. Results of K-Means Medhod

Files.zip

5. 3.Logistic Regression

1. 1. What is Logistic Regression

2. 2. Hands-on for Logistic Regression

3. [HOL] Logistic Regression 1

4. 3. Results of HOL

5. [HOL] Logistic Regression 2

6. [HOL] Logistic Regression 3

7. 4. Confusion Matrix

Files.zip

6. 4.Support Vector Machines

1. 1. What is Support Vector Machines

2. 2. Hands-on for Support Vector Machines

3. [HOL] Support Vector Machines

4. 3. Results of HOL

Files.zip

7. 5.Ensemble Learning

1. 1. What is Ensemble Learning

2. 2. Hands-on for Ensemble Learning

3. [HOL] Ensemble Learning

4. 3. Results for Ensemble Learning

Files.zip

8. 6.Deep Learning

1. 1. What is Deep Learning

2. 2. Activation Function

3. 3. Loss Function

4. 4. Backpropagetion

5. 5. HOL What is Convolutional Neural Network

6. 6.HOL Libraries for Deep Learning

7. 7. HOL Dataset

8. 8. HOL Algorithmis for CNN

9. 9. HOL Comilation

10. 10. HOL Running the model

11. [HOL] Deep Learning

Files.zip

9. 7.Azures AI Services

1. Azures AI Services

10. (Ref) Azure Core Services

1. 1. Azure Monitor

2. 2-1. Azure Key Vault

3. 2-2. Microsoft Entra ID No.1

4. 2-2. Microsoft Entra ID No.2

5. 3-1. Azure Policy

6. 3-2. Roll-Based Accecc Policy

7. 3-3. Lock & Tag

8. 4. Azure Virtual Machine

9. 5. Network

10. 5-1. Virtual Network

11. 5-2. Firewalls

11. Chapter3 Practice Test

1. Preparation for Practice Test

2. Practice Test.html

12. Chapter4 Summary

1. Bonus Lecture

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تولید کننده: Udemy