Azure Mastery: DP-100| AI-900| DP-900| DP-300| AI Chatbot

سرفصل های دوره

Master Microsoft Azure and elevate your career with our comprehensive, hands-on course. Prepare for exams too.

1 - DP100 Microsoft Azure DS Exam

1 - Introduction to Course

2 - Exam Requirements

3 - Create an Azure Machine Learning Workspace

4 - Azure ML Workspace Settings Portal

5 - Azure ML Studio Settings

6 - Data Stores and Datasets

7 - Create Additional Datasets

8 - Create an Experiment Compute Instance

9 - Manage Multiple Compute Instances

10 - Create Compute Targets and Clusters

11 - Creating our First ML Pipeline

12 - Submitting Pipeline

13 - Custom Code in Pipeline

14 - Understanding Complicated Pipeline

15 - Evaluating Execution Results

16 - Errors in Azure ML Designer

17 - Various Modules of Azure ML Designer

18 - Setup SDK

19 - Create ML Workspace using SDK

20 - Simple Program in Python

21 - Train Model using SDK

22 - Submit Experiment using SDK

23 - Create a Pipeline by using SDK

24 - AutoML Overview

25 - AutoML with SDK

26 - Understanding what is Hyper drive

27 - Register a Trained Model

28 - Create Production Compute Targets

29 - Deploy AutoML

30 - Create an AutoML Endpoint

31 - Deploy ML Designer for Real Time

32 - Deploy SDK Models

33 - Publish a Pipeline for Batch Inference

34 - Conclusion

2 - AI900 MS Azure AI Fundamentals

35 - Introduction to Course

36 - What is Artificial Intelligence

37 - Machine Learning Model

38 - AI900 Exam Requirements

39 - Common AI workloads

40 - Guiding principles for Responsible AI

41 - Privacy and Security

42 - Transparence and Accountability

43 - MS Official website for AI Principles

44 - Common ML Types

45 - Dataset Features and Labels

46 - Training and Validation Dataset

47 - FPR and AUC

48 - Auto ML

49 - DemoCreate Azure ML Workspace

50 - Use AutoML to Build a noCode Model

51 - ML Designer

52 - ML Designer to Build a noCode Model

53 - Common types of Computer Vision Workloads

54 - Computer Vision Services in Microsoft Azure

55 - Using Computer Vision Service

56 - Using Custom Vision Service

57 - NLP Workloads

58 - NLP Services

59 - Common Types of Conversational AI workloads

60 - Conversational AI Services in Azure

61 - Conclusion

3 - DP900 Azure Data Fundamentals

62 - Introduction to Course

63 - Exam Requirements

64 - Describe Ways to Represent Data

65 - Identify Options For Data Storage

66 - Describe Common Data Workloads

67 - Responsibilities For Data Workloads

68 - Identify Features of Relational Data

69 - Describe Normalization

70 - Three Normal Forms

71 - Demo Sample Database

72 - Identify Common Structured Query Language

73 - Demo Create A Database View

74 - Demo Create A Stored Procedure

75 - Demo Create An Index

76 - Relational DBs Introduction

77 - Azure Relational DB Options

78 - Creating Azure SQL Database

79 - Arm Templates to Manage SQL Databases

80 - SQL Database Security

81 - Relational Query Tools

82 - Introduction to Non Relational DBs

83 - Non Relational Data Types

84 - Choose A NoSQL Database

85 - Azure Non Relational DB Options

86 - Creation Cosmos DB

87 - Query Cosmos DB

88 - Use Arm Templates to Manage Cosmos DB

89 - Cosmos DB Security

91 - Modern Data Warehouse

92 - Azure Data Factory

93 - Data Visualization

94 - Power Bi Content Workflow

95 - Conclusion

4 - DP300 Azure Relational DBA

96 - Introduction to Course

97 - Exam Requirements

98 - Azure Free Account

99 - Azure Relational Databases Covered in Exam

100 - SQL Database Options Overview

101 - Creating Azure VM and Installing SQL Server

102 - Connect Database Through Port 1433

103 - Deploying SQL Server from the Azure Marketplace

104 - Maintenance Window

105 - Install Azure SQL Database

106 - Using Sample Database

107 - How to Choose an Azure Relational Database

108 - Evaluate Functional Requirements

109 - Evaluate Scaling Requirements

110 - Availability and Backup Requirements

111 - Security Requirements

112 - Scaling Azure SQL Database

113 - Using Elastic Pool Database to Scale

114 - Scaling SQL VM

115 - Using SQL DB Replicas and Sharding

116 - SQL Data Sync

117 - Prepare a Migration Strategy

118 - Prepare an Upgrade Strategy

119 - Run a Migration Assessment

120 - Perform a Database Migration

5 - Microsoft Azure Basics

121 - What is Cloud Computing

122 - Basic of azure cloud

123 - Basic of azure cloud Continues

124 - Disadvatge of azure cloud

125 - Disadvatge of azure cloud Continues

126 - Azure cloud component and use

127 - Azure portal and price of services

128 - App services

129 - Mobile services

130 - Full calculator

131 - Web application service

132 - Web application service Continues

133 - Azure virtual network

134 - DNS Servers and VPN Connectivity

135 - IBM Cloud Network

136 - Azure virtual machine

137 - How to create virtual machine

138 - Other things in virtual machine

139 - How to access virtual machine

140 - Azure virtual storage

141 - Azure Virtual Storage Continues

142 - Configuring vm networking in azure

143 - Configuring vm networking in azure Continues

144 - What is vm networking

145 - Perform configuration management

146 - Creating a network in cloud

147 - Subnetting

148 - Subnetting Continues

149 - Increase and decrease in the number of machines

150 - How to create sharepoint machine in azure with image

151 - How to create sharepoint machine in azure with image Continues

152 - How to create windows vm and linux vm

153 - What is end point

154 - Public port and private port

155 - How to create windows and linux machine using portal

156 - How to make autoscaling of machine

157 - Adding weband web job applcation to web site

158 - How to implemnent web site

159 - How to implemnent web site Continues

160 - Adding machine to availibilty set

161 - Brief introduction to virtual machines

162 - What is the scalibility

163 - Creating a web application

164 - Database configuration

165 - Connecting azure to on site network

166 - Cloud services

167 - Scaling facilities

168 - What is a networking

169 - What is a virtual network

170 - Virtual area network address

171 - What is a Webjob

172 - Creating a virtual machine

173 - Monitoring

174 - Server manager dashboard

175 - Components

176 - Local area network

177 - Reports

178 - SQL Database

179 - Recovery Services

180 - Remote desktop service azure provsion

181 - Desktop services

182 - Storsimple

183 - Cdnremote appmedia service

184 - How to migarte on premise to azure cloud

185 - How to migarte on premise to azure cloud Continues

186 - How to purchase additional subscrption

187 - Billing of azure

188 - Planing how to migarte on premise work load to azure cloud

189 - Planing how to Migarte on premise work load to azure cloud Continues

190 - Azure Hdmi

191 - Azure Machine Learning

192 - Biztalk Service

193 - Traffic Manager

194 - Select a Runbook

195 - HD Insight

6 - Azure Practical Cognitive Services

196 - Introduction to Azure Cognitive

197 - Azure Free Tier Account Creation

198 - Vision API and Computer Vision Overview

199 - Computer Vision Hands on

200 - Computer Vision Hands on Continued

201 - Face API

202 - Face API Handson

203 - Custom Vision

204 - Custom Vision Handson

205 - Form and Ink Recognizer Overview

206 - Video Indexer Handson

207 - Form Recognizer Hands on

208 - Cognitive Speech Api

209 - Speech to Text Service

210 - Speech to Text Service Handson

211 - Text to Speech Service

212 - Text to Speech Service Handson

213 - Speech Translation Service Overview

214 - Speech Translation Service Handson

215 - Speech Recognise Overview

216 - Speech Recognise REST Api Usage

217 - Language Service

218 - Sentiment Analysis and Handson

219 - Language Translator Service and Handson

220 - Understanding Service

221 - Understanding Service Handson Part 1

222 - Understanding Service Handson Part 2

223 - Understanding Service Handson Part 3

224 - Understand Services in Action

225 - Entity Recognition

226 - Entity Recognition Handson

227 - Entity Recognition in Action

228 - QnA Maker Overview

229 - QnA Maker Handson

230 - QnA Maker in Action

231 - Cognitive Decision Service

232 - Content Moderator Overview

233 - Image Moderator Application

234 - Image Moderator Application Continued

235 - Text Moderation

236 - Moderation Application in Action

237 - Anomaly Detection Overview

238 - Anomaly Detection Handson Dependecies Import

239 - Anomaly Azure Conection

240 - Graph Ploting

241 - Anomaly Detection Function

242 - Anomaly Application in Action

243 - Decision Personalizer Overview

244 - Decision Personalizer Application Dependency

245 - Decision Personalizer Application

246 - Personalizer Service in Action

247 - Cognitive Web Search Overview

248 - Cognitive Web Search Subparts

249 - Cognitive Websearch Application Creation

250 - Cognitive Websearch Application Creation Continued

251 - Cognitive Websearch Application in Action

7 - Azure Cognitive Services Creating an AI Based Chatbot

252 - Introduction to Course

253 - QnA Service

254 - Java Application Creation

255 - Resolving Issues from Application

256 - Running Java Aaplication

257 - Service Cleanup

8 - Microsoft Azure Essentials

258 - Introduction to Microsoft Azure Essentials

259 - Five Principles of Cloud

260 - History of Cloud Computing

261 - Key Types of Cloud Services

262 - Cloud Deployment Models

263 - Why Microsoft Azure

264 - What is Microsoft Azure

265 - Microsoft Azure Architecture

266 - Register for free Azure Account

267 - Demo Microsoft ARM Portal

268 - Demo ASM Portal

269 - Enterprise Account

270 - Azure Subscriptions and Account

271 - Tools for Azure

272 - Installing Azure Powershell

273 - Installing Azure CLI

274 - Azure CLI Getting Started

275 - Azure PowerShell ASM

276 - Azure Powershell ARM Basics

277 - Azure Virtual Machines

278 - What is Azure VM

279 - Azure VM Status

280 - Azure VM Billing

281 - Azure VM sizes

282 - Azure VM deployment Options

283 - Azure VM Architecture Classic

284 - Azure VM Architecture ARM

285 - Azure VM Pricing Tiers

286 - Create a Windows VM

287 - Create a Windows VM Continues

288 - Connecting to a Windows VM

289 - Create a Linux VM

290 - Connecting to a Linux VM

291 - Azure VM Disks

292 - Attaching Data Disk to a Windows VM

293 - Attaching Data Disk to a Linux VM

294 - High Availability in Azure

295 - High Availability in Azure Continues

296 - VM Availability Sets

297 - Creating an Availability Set

298 - Joining VM into an Availability Set

299 - Azure Virtual Network

300 - Azure Network Options

301 - Components of Virtual Networks

302 - Address Spaces and Subnets

303 - Network Security Groups

304 - Azure Load Balancers

305 - Azure Load Balancers Continues

306 - Azure HYbrid Connectivity Options

307 - Azure Traffic Manager

308 - Creating a Virtual Network and Subnets

309 - Creating VM in a VNet and Adding NSG Rules

310 - Azure storage

311 - Azure Blob Storage

312 - Azure Disk Storage

313 - Azure File Storage

314 - Azure Table Storage

315 - Azure Queue Storage

316 - Creating a Storage Account and Uploading a Blob

317 - Azure Web Apps

9 - Microsoft Azure Data Lake

318 - Introduction to Azure Data Lake

319 - Introduction to Azure Data Lake Continue

320 - Creating Analytics Account

321 - Services in Azure Data Lake

322 - Processing Data Lake Store

323 - Concept of USQL Language

324 - Defining Analytics Units

325 - Adding Filter Operation

326 - Stages of Job

327 - Brief on USQL Language

328 - Extracitng a Row

329 - Schema on Read

330 - Aggregating the Data

331 - Changing the Group By

332 - Injesting Multiple Files

333 - Processing the Multiple Files

334 - Arranging the Data

335 - Distributing the Data

336 - Data from Data Lake

337 - Checking the Status Update

338 - Creating the View

339 - Table Valued Functions

340 - Script for Table Valued Functions

341 - Creating a Store Procedure

342 - Running Store Procedure

343 - How to use Inline cSharp

344 - Azure Portal to Visual Studio

345 - Creating New Project

346 - Services in Azure Account

347 - Submitting SQL Job

348 - Analyzing the Job

349 - Creating Project Function

350 - Monitoring the Status

351 - Job Comparison Tool

352 - Understanding Job Graph

353 - Understanding Job Graph Continues

354 - Executing the Job File

355 - Concept of Heat Map

356 - Vertex Execution View

357 - Concept of Job Effeciency

358 - Options in Diagnostics Tab

359 - Ways of Accessing Azure Data

360 - Creating Data Store Accounts

361 - Confirming Through Portal

362 - Creating a Directory Structure

363 - Uploading the Data

364 - Using the Powershell

365 - Commands for Azure CLI

366 - Data Lake Store Account

367 - Uploading Data with Azure CLI

368 - Renaming the File

369 - Deleting Data Lake Account

370 - Pricing of Azure Data Lake

371 - Summary on Azure Data Lake

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