Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.Marshall Copeland is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance “blue team hunting” efficiencies.Anthony Puca is a director of azure apps and infrastructure in Microsoft’s United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.Micheleen Harris is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.

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• Part I: Introducing Microsoft Azure.- Ch1. Microsoft Azure and Cloud Computing.- Ch2. Overview of Azure Infrastructure-as-a-Service (IaaS) services.- Ch3.- Overview of Azure Platform as a Service.- Ch4. Azure AppDev Services Overview.- Ch5. Ethical AI, Azure AI, and Machine Learning.- Part II: Planning and adopting Azure.- Ch6. Budgeting and Cloud Economics. Ch7. Designing a Hybrid Data Center.- Ch8. Tools and Training to Up-Skill Existing IT Team.- Part III: Using Azure for Infrastructure-as-a-Service (IaaS). - Ch9. Implementing Azure Networking.- Ch10. Virtual Machines.- Ch11. Infrastructure as Code (IaC).- Part IV: Adopting Platform-as-a-Service (PaaS).- Ch12. Azure WebApps.- Ch13. Network Platform as a Service.- Ch14.- Azure Storage.- Part V Azure Data Services and Big Data.- Ch15.Azure Cognitive (COG) services.- Ch16. Machine Learning and Deep Learning.- Ch17. Azure Data Services.- Part VI: Azure services for application developers.- Ch18. Migrating on-premises databases to Azure.- Ch19.- Data Engineering and the modern Data Estate.- Part VII : Intelligent Cloud - Machine Learning and Artificial Intelligence.- Ch20.- Developing and deploying Azure-based Applications.- Ch21. Continuous Integration/Continuous Delivery with Azure DevOps.

Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.Marshall Copeland is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance “blue team hunting” efficiencies.Anthony Puca is a director of azure apps and infrastructure in Microsoft’s United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.Micheleen Harris is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.

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• Part I: Introducing Microsoft Azure.- Ch1. Microsoft Azure and Cloud Computing.- Ch2. Overview of Azure Infrastructure-as-a-Service (IaaS) services.- Ch3.- Overview of Azure Platform as a Service.- Ch4. Azure AppDev Services Overview.- Ch5. Ethical AI, Azure AI, and Machine Learning.- Part II: Planning and adopting Azure.- Ch6. Budgeting and Cloud Economics. Ch7. Designing a Hybrid Data Center.- Ch8. Tools and Training to Up-Skill Existing IT Team.- Part III: Using Azure for Infrastructure-as-a-Service (IaaS). - Ch9. Implementing Azure Networking.- Ch10. Virtual Machines.- Ch11. Infrastructure as Code (IaC).- Part IV: Adopting Platform-as-a-Service (PaaS).- Ch12. Azure WebApps.- Ch13. Network Platform as a Service.- Ch14.- Azure Storage.- Part V Azure Data Services and Big Data.- Ch15.Azure Cognitive (COG) services.- Ch16. Machine Learning and Deep Learning.- Ch17. Azure Data Services.- Part VI: Azure services for application developers.- Ch18. Migrating on-premises databases to Azure.- Ch19.- Data Engineering and the modern Data Estate.- Part VII : Intelligent Cloud - Machine Learning and Artificial Intelligence.- Ch20.- Developing and deploying Azure-based Applications.- Ch21. Continuous Integration/Continuous Delivery with Azure DevOps.

Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.Marshall Copeland is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance “blue team hunting” efficiencies.Anthony Puca is a director of azure apps and infrastructure in Microsoft’s United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.Micheleen Harris is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.

Select Guide Rating

• Part I: Introducing Microsoft Azure.- Ch1. Microsoft Azure and Cloud Computing.- Ch2. Overview of Azure Infrastructure-as-a-Service (IaaS) services.- Ch3.- Overview of Azure Platform as a Service.- Ch4. Azure AppDev Services Overview.- Ch5. Ethical AI, Azure AI, and Machine Learning.- Part II: Planning and adopting Azure.- Ch6. Budgeting and Cloud Economics. Ch7. Designing a Hybrid Data Center.- Ch8. Tools and Training to Up-Skill Existing IT Team.- Part III: Using Azure for Infrastructure-as-a-Service (IaaS). - Ch9. Implementing Azure Networking.- Ch10. Virtual Machines.- Ch11. Infrastructure as Code (IaC).- Part IV: Adopting Platform-as-a-Service (PaaS).- Ch12. Azure WebApps.- Ch13. Network Platform as a Service.- Ch14.- Azure Storage.- Part V Azure Data Services and Big Data.- Ch15.Azure Cognitive (COG) services.- Ch16. Machine Learning and Deep Learning.- Ch17. Azure Data Services.- Part VI: Azure services for application developers.- Ch18. Migrating on-premises databases to Azure.- Ch19.- Data Engineering and the modern Data Estate.- Part VII : Intelligent Cloud - Machine Learning and Artificial Intelligence.- Ch20.- Developing and deploying Azure-based Applications.- Ch21. Continuous Integration/Continuous Delivery with Azure DevOps.