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

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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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