Azure Cloud

Module 1: Introduction to Azure Cloud (4 hours)

• Overview of Azure Cloud Computing:
  • Cloud service models: IaaS, PaaS, SaaS
  • Benefits of migrating to Azure
  • Key Azure services and regions
  • Azure pricing models and cost optimization
  • Setting up an Azure account and free tier access
• Azure Global Infrastructure:
  • Datacenters and regions
  • Availability zones and fault tolerance
  • Disaster recovery and business continuity

Module 2: Core Azure Services (12 hours)

• Azure Virtual Machines:
  • Creating and managing VMs
  • VM types and sizes
  • Resource groups and virtual networks
  • Storage options: Azure Storage Accounts, Disks, and Blobs
  • Security and access control with Azure AD and RBAC
• Azure App Service:
  • Building and deploying web applications
  • Scaling and performance optimization
  • Continuous integration and delivery (CI/CD) with Azure DevOps
  • Application Insights for monitoring and troubleshooting
• Azure SQL Database:
  • Migrating and managing relational databases
  • Database tiers and performance considerations
  • High availability and disaster recovery for databases
  • Security and access control for Azure SQL Database
• Azure Storage Services:
  • Blob storage for unstructured data
  • File storage for shared files
  • Archive storage for long-term data retention
  • Data Lake Storage for big data analytics

Module 3: Advanced Azure Services (12 hours)

• Azure Kubernetes Service (AKS):
  • Container orchestration and deployment
  • Kubernetes basics and cluster management
  • Scaling and managing containerized applications
  • Azure Container Registry for container image management
• Azure Functions:
  • Serverless computing platform for event-driven applications
  • Building and deploying serverless functions
  • Azure Logic Apps for workflow automation
  • Azure IoT Hub for connecting and managing devices
• Azure Cognitive Services:
  • Pre-trained AI models for various tasks
  • Computer vision, natural language processing, and speech recognition
  • Building intelligent applications with Azure Cognitive Services
• Azure Machine Learning:
  • Building and deploying machine learning models
  • Azure Machine Learning Studio and Azure Databricks
  • Training and deploying models with Azure Machine Learning
  • Machine learning pipelines and automation

Module 4: Azure Monitoring and Management (4 hours)

• Azure Monitor:
  • Collecting and analyzing logs and metrics
  • Creating custom dashboards and alerts
  • Monitoring and troubleshooting Azure resources
• Azure Cost Management:
  • Tracking and optimizing Azure spending
  • Identifying cost-saving opportunities
  • Setting budgets and resource quotas
• Azure Security:
  • Identity and access management (IAM)
  • Security policies and controls
  • Azure Security Center for comprehensive security monitoring
  • Compliance and regulatory considerations

Module 5: Hands-on Labs and Projects (4 hours)

• Practical exercises on various Azure services
• Building real-world cloud solutions
• Implementing learned concepts in real-world scenarios
• Presenting and discussing project results

Bonus Module: Azure DevOps and CI/CD (Optional) (2 hours)

• Introduction to Azure DevOps
• Git version control and collaboration
• Building and deploying CI/CD pipelines
• Integrating Azure DevOps with other Azure services

Additional Resources:

• Microsoft Azure documentation and tutorials
• Azure Hands-on Labs and training modules
• Azure blog and technical articles
• Microsoft Azure YouTube channel
• Azure community forums and Stack Overflow

Note:

• This is a suggested TOC and can be customized according to the specific needs and experience level of the corporate client.
• Additional modules or topics can be included based on specific requirements.
• Hands-on labs and projects are crucial for practical learning and should be incorporated throughout the training.
• The bonus module on Azure DevOps is optional and can be added depending on the client’s interest.