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Batch
Date: Mar
26th @7:00AM
Faculty: Mr. Sekhar Reddy (15+ Yrs of Exp,.. & Real Time Expert)
Duration: 35 Days
Venue
:
DURGA SOFTWARE SOLUTIONS,
Flat No : 202,
2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038
Ph.No: +91- 9246212143, 80 96 96 96 96
Syllabus:
AZ-104-Microsoft Azure Administrator
Module 1: Introduction to Cloud computing
- Understanding different Cloud Models
- Advantages of Cloud Computing
- Different Cloud Services
- Cloud vendors
- What is Cloud Computing
- History & Fundamentals of Cloud Computing
- WhyCloud
- Cloud Architecture
- Types of Cloud
- Cloud Service Models
- IaaS
- PaaS
- SaaS
Module 2: Microsoft Azure Platform
- Introduction to Azure
- Azure Features
- Azure Services
- Azure Management Portal
- Azure Advantages
- Managing Azure with the Azure portal
- Managing Azure with Windows PowerShell
- Overview of Azure Resource Manager
- Azure management services
Module 3: Microsoft Azure Subscriptions
- Assign administrator permissions
- Configure cost center quotas and tagging
- Configure Azure subscription policies at Azure subscription level
- Types of subscriptions
Module 4: Create Storage accounts and Store the files
- What is the storage account?
- Types of storage accounts
- Types of storages (Blob,file,table,queue)
- Create blob container
- How to create file storage and upload the files.
- How to deploy the static site in blob storage?
- How to deploy static application in storage account
Module 5: Implementing and managing Azure networking
- Overview of Azure networking
- Implementing and managing Azure virtual networks
- Configuring Azure virtual networks
- Configuring Azure virtual network connectivity
- What is subnet
- Classes of IP address (Class A, Class B, Class C, Class D)
Module 6: Implementing virtual machines
- Overview of Azure Resource Manager virtual machines
- Planning for Azure virtual machines
- Deploying Azure Resource Manager virtual machines
- IP address
- Assign the Dynamic and static IP address
Module 7: Managing Virtual Machines
- Configuring virtual machines
- Configuring virtual machine disks
- Managing and monitoring Azure virtual machines
- How to add the disks to VM?
- How to extend the disks?
- How to change the Site of VM
Module 8: Create, Manage and deploy the applications in VM(Azure)
- Create VM with windows OS
- Install IIS servers
- Host .NET applications on IIS
- Enable the Network security gateway to access to access the site from outside.
- Create VM with Linux
- Deploy the apache tomcat server
- Deploy Java application.
Module 9: Implementing Azure App Services
- Introduction to App Service
- Planning app deployment in App Service
- Implementing and maintaining web apps
- Create the .NET/Java/PHP web apps
- Monitoring web apps and Web Jobs.
- Implementing mobile apps
Module 10: Planning and implementing storage, backup, and recovery services
- Planning storage
- Implementing backup and restore the files and folders
- Implementing VM backups.
- Implementing VM restore.
- Implementing Azure Backup
- Planning for and implementing Azure Site Recovery
Module 11: Planning and implementing Azure SQL Database
- Planning and deploying Azure SQL Database
- Implementing and managing Azure SQL Database
- Managing Azure SQL Database security
- Monitoring Azure SQL Database
- Managing Azure SQL Database business continuity
- Migrate the on-premises DB to Azure cloud
- Create database in on-premises and synch with azure cloud
Module 12: Implementing PaaS cloud services
- Planning and deploying PaaS cloud services
- Managing and maintaining cloud services
- Deploying a PaaS cloud service
- Configuring deployment app services Deployment slots.
- Monitoring cloud services
Module 13: Configuring alert and metrics for VM /App services
- Managing and configuring alerts in Azure could
- Deploying a alerts for cloud app service
- Deploying alertsfor VM.
- Monitoring cloud services
Module 14: Implementing Azure Active Directory
- Creating and managing Azure AD tenants
- Configuring application and resource access with Azure AD
- Create multiple directories.
- Create the domains
- Overview of Azure AD Premium
- Administering Active AD
- Configuring Multi-Factor Authentication
Module 15: Managing Active Directory in a could environment
- Migrating on-perm active directory users to Azure could.
- Configuring directory synchronization
- Synchronizing directories
Module 16: Manage resource groups
- use Azure policies for resource groups
- configure resource locks
- configure resource policies
- identify auditing requirements
- implement and set tagging on resource groups
- move resources across resource groups
- remove resource groups
Module 17: Managed role based access control (RBAC)
- create a custom role
- configure access to Azure resources by assigning roles
- configure management access to Azure, troubleshoot RBAC, implement RBAC policies, assign RBAC Roles
Module 18: Traffic manager
- Introduction to Traffic manager
- Routing methods(Priority,Weighted,Performance,Geographic)
- How to configure different routing methods
- What is end point
- How to add the servers to traffic manager?
Module 19: Backup and restore operations
- How to take application backup
- Perform backup and restore operations for VM.
- Perform backup and restore operations for File storage.
Module 20: PowerShell
- What is windows PowerShell.
- Advantages of PowerShell.
- What is the Azure CLI?
- How to automate the activities using azure CLI (PowerShell).
Module 21: Storage Solutions
- Azure Storage and replication types
- Storage account types
- General-purpose v1 (GPv1)
- Blob storage
- General-purpose v2 (GPv2)
- Storage replication types
- Locally Redundant Storage
- Zone Redundant Storage
- Geo-redundant Storage
- Azure Blob Storage
- Access tiers
- Hot
- Cool
- Archive
- Azure Table Storage
- Creating a storage account
- Uploading data to Azure Table Storage
- Azure Queue Storage
- Azure File Storage
- Azure Disk Storage
- Standard Disk Storage
- Premium Disk Storage
- Unmanaged versus Managed Disks
- STORSIMPLE
- STORSIMPLE Virtual Array
- STORSIMPLE 8000 Series
- Cosmos DB Storage
- Azure Search
- Azure SQL Database
- SQL Server Stretch Database
- High availability
- Active geo-replication
Module 22: Administration
- VM storage
- Configure Disk Caching
- Plan Storage Capacity
- Configure Operating System Disk Redundancy
- Configure Shared Storage Using Azure File Service
- Encrypt Disks
- Azure Storage Blobs and Azure Files
- Read Data, Change Data, Set Metadata On A Container
- Store Data Using Block And Page Blobs
- Stream Data Using Blobs
- Access Blobs Securely
- Implement A sync Blob Copy
- Configure a Content Delivery Network (CDN)
- Design Blob Hierarchies
- Configure Custom Domains
- Scale Blob Storage
- Azure SQL Databases
- Choose the Appropriate Database Tier and Performance Level
- Configure Point-in-time Recovery, Geo-replication, and Data Sync
Module 23: ARM
- What is ARM Template?
- Advantages of ARM templates.
- How to create multiples VM using ARM template?
Module 24: Terraform
- What terraform
- Advantages of terraform
- IAAC
- Build/deployment/Terraform
- Deploy solutions using Terraform template
Module 25: GitHub-Microsoft
- What is GitHub?
- Integrate GitHub with appservice/application
- GitHub advantages.
- Clone GitHub to location computer.
Azure AI Fundamentals certification (Exam AI-900)
The Azure AI Fundamentals certification (Exam AI-900) covers a range of topics to help you understand and demonstrate fundamental AI concepts related to Microsoft Azure
To get started with Azure AI, you can explore the Microsoft Azure AI Fundamentals training path. This training provides a comprehensive introduction to AI concepts and how they are implemented using Azure services. Here’s an overview of what you can expect:
1. Artificial Intelligence Workloads and Considerations
Identify features of common AI workloads:
- Machine Learning:
- Supervised learning
- Unsupervised learning
- Semi-supervised learning
- Reinforcement learning
- Anomaly Detection:
- Outlier detection
- Fraud detection
- Computer Vision:
- Image classification
- Object detection
- Semantic segmentation
- Natural Language Processing (NLP):
- Text classification
- Named entity recognition
- Sentiment analysis
- Conversational AI:
- Chatbots
- Virtual assistants
Identify guiding principles for responsible AI:
- Fairness:
- Bias detection and mitigation
- Reliability and Safety:
- Robustness
- Error handling
- Privacy and Security:
- Data protection
- Secure data handling
- Inclusiveness:
- Accessibility
- Diverse datasets
- Transparency:
- Explainability
- Interpretability
- Accountability:
- Governance
- Ethical considerations
2. Fundamental Principles of Machine Learning on Azure
Describe core machine learning concepts:
- Regression:
- Linear regression
- Logistic regression
- Classification:
- Decision trees
- Support vector machines
- Clustering:
- K-means clustering
- Hierarchical clustering
- Reinforcement Learning:
- Markov decision processes
- Q-learning
Identify Azure tools and services for machine learning:
- Azure Machine Learning:
- Designer
- Automated ML
- Notebooks
- Azure Databricks:
- Collaborative notebooks
- Spark-based analytics
- Azure Synapse Analytics:
- Integrated analytics
- Data warehousing
3. Features of Computer Vision Workloads on Azure
Identify common types of computer vision solutions:
- Image Classification:
- Pre-trained models
- Custom models
- Object Detection:
- Bounding boxes
- Instance segmentation
- Optical Character Recognition (OCR):
- Text extraction
- Document processing
- Facial Recognition:
- Face detection
- Emotion recognition
Identify Azure tools and services for computer vision tasks:
- Azure Computer Vision:
- Custom Vision:
- Custom image classification
- Object detection
- Face API:
- Face detection
- Face verification
- Form Recognizer:
- Form processing
- Receipt recognition
4. Features of Natural Language Processing (NLP) Workloads on Azure
Describe features of NLP workloads:
- Text Analytics:
- Sentiment analysis
- Key phrase extraction
- Language Understanding (LUIS):
- Intent recognition
- Entity extraction
- Speech Recognition:
- Speech-to-text
- Text-to-speech
- Translation:
- Text translation
- Speech translation
Identify Azure tools and services for NLP:
- Azure Text Analytics:
- Sentiment analysis
- Language detection
- Azure Translator:
- Text translation
- Document translation
- Azure Speech:
- Speech-to-text
- Text-to-speech
- Language Understanding (LUIS):
- Intent recognition
- Entity extraction
5. Features of Generative AI Workloads on Azure
Describe features of generative AI workloads:
- Text Generation:
- Language models
- Text completion
- Image Generation:
- GANs (Generative Adversarial Networks)
- Style transfer
- Code Generation:
- Code completion
- Code synthesis
Identify Azure tools and services for generative AI:
- Azure OpenAI Service:
- Azure Cognitive Services:
- Customizable AI services
- Pre-built AI models
