PART I Introducing Microsoft Azure Ch 1. Microsoft Azure and Cloud Computing Overview of Microsoft Azure services Azure concepts Availability Zones Security, Compliance, and Privacy primer Azure licensing and cost management concepts Subscriptions Ch 2. Overview of Azure Infrastructure-as-a-Service (IaaS) services Azure Virtual Machines Azure Networking Hybrid data center design concepts (private-public cloud) Hybrid data center operations and monitoring IaaS security considerations Ch 3. Overview of Azure Platform-as-a-Service Azure Storage Accounts Azure WebApps Azure Database Services Azure PaaS networking services Azure Machine Learning and Cognitive Services Azure Load Balancers Azure Batch Ch 4. Azure AppDev ServicesOverview Azure DevOps and GitHub Azure IaaS as code Visual Studio Containers - AKS 5. Ethical AI, Azure AI, and Machine Learning Azure for the modern Data Engineers Azure SQL Database Azure SQL Managed Instance Azure SQL Data Warehouse Azure Cosmos DB Azure Data Lake Service (gen 2) Azure Data Factory v2 Cognitive Services Artificial Intelligence and Machine Learning PART II Planning and adopting Azure 6. Budgeting and cloud economics Using assessment tools - Microsoft Movere Understanding Cloud Economics - CapEx vs OpEx Forecasting and other cost saving features Autoscaling Reserved Instances Service Level Agreement in LRS vs GRS Azure Cost Mgmt and Billing 7. Designing a Hybrid Data Center Networking considerations PaaS Considerations Identity and Access Management Security and monitoring 8.Tools, training, and upskilling existing IT personnel Available and required minimum training Assembling the toolkit for the Cloud engineer PowerShell ISE Visual Studio Code Azure Storage Explorer ARM Templates Hash