• In this course, you'll explore the critical roles and

• responsibilities of a Cloud Architect, the differences between the
• roles played by Solution Architects and Cloud Architects, and the
• cloud challenges that a Cloud Architect needs to manage. You'll
• learn about the planning solutions Cloud Architects use to automate
• and orchestrate multi-cloud applications, along with the Cloud
• Computing Reference Model and Cloud Governance Lifecycle, which are
• used for building cloud frameworks. Next, you'll look at tools and
• frameworks that can be used to assess cloud operations and identify
• the current capabilities of multi-cloud environments, as well as
• success factors that need to be considered as benchmarks for
• identifying business values of cloud architectures. Finally, you'll
• learn about using the Target Operating Model to deliver value
• through appropriate cloud strategies and using the Multi-cloud
• Maturity Model and transformation workflows for building solutions
• for cloud delivery mechanisms.

• In this course, you'll explore the role of a cloud architect in

• transitioning from DevOps to CloudOps. You'll examine the role of a
• Cloud Operating Model in defining operational processes, as well as
• the role of the people, organization and operations domain in
• determining the CloudOps transition process. Next, you'll look at
• the best practices for transforming enterprise capabilities, the
• benefits of multi-cloud transition, and the approaches of managing
• data and information to implement the right cloud transition
• mechanism. You'll move on to learn about prominent cloud transition
• strategies for building CloudOps transition roadmaps. You'll
• explore the systemic principles for planning multi-cloud
• transitions, tools for planning and deploying CloudOps solutions,
• and the processes, SLAs, and KPIs associated with running cloud
• operations that can be used to create operational baseline
• capabilities. Finally, you'll explore how to facilitate a smooth
• process, data, and platform transition in multi-cloud environments
• and the transition path for identifying and applying the right
• CloudOps Maturity Model.

• In this course, you'll learn about the essential components

• involved in solutioning CloudOps projects, the layered approach of
• managing enterprise CloudOps applications, and the role-based and
• layer-based CloudOps solutioning architectures. You'll examine the
• role of different types of cloud engineers in providing logical and
• physical architectures for the CloudOps solutioning process. You'll
• also learn about the role of the Cloud Governance Framework in
• providing comprehensive cloud-centric governance for each phase of
• the cloud transformation life cycle used in CloudOps. Next, you'll
• explore the RACI Matrix of Roles for each CloudOps solutioning
• stakeholder, the Measures and Metrics involved in solutioning
• CloudOps strategy, and the anatomy of Cloud Service Agreements.
• Finally, you'll learn about the logical CloudOps architecture and
• prominent CloudOps solutioning tools for designing, planning,
• architecting, and implementing CloudOps solutioning.

• In this course, you'll explore the concept of AI Explainability,

• the role of CloudOps Explainability in managing multi-cloud
• solutions, how to evaluate explanatory systems, and the properties
• used to define systems to accommodate explainability approaches.
• You'll look at how users interact with explainable systems and the
• effect of explainability on the robustness, security, and privacy
• aspects of predictive systems. Next, you'll learn about the use of
• qualitative and quantitative validation approaches and the
• explainability techniques for defining operational and functional
• derivatives of cloud operation. You'll examine how to apply
• explainability throughout the process of operating cloud
• environments and infrastructures, the methodologies involved in the
• three stages of AI Explainability in deriving the right CloudOps
• model for implementation guidance, and the role of explainability
• in defining AI-assisted Cloud Managed Services. Finally, you'll
• learn about the architectures that can be derived using Explainable
• Models, the role of Explainable AI reasoning paths in building
• trustable CloudOps workflows, and the need for management and
• governance of AI frameworks in CloudOps architectures.

• The impact of future trends allow you to recognize how to build

• cloud-based applications and architectures that can adopt and adapt
• to emerging trends, technologies, and processes. In this course,
• you'll explore future trends in cloud computing and emerging
• technologies that can help with analyzing their impact on existing
• cloud operations and practices. You'll learn about solutioning
• strategies and resource types that can help with adopting emerging
• technologies and trending features in existing CloudOps
• architectures. Next, you'll examine cloud application design
• considerations and the inside-out and outside-in development
• strategies that can help with adopting and adapting to any
• futuristic upgrades. You'll learn about how to handle states at the
• service level, system architecture design considerations, and the
• use of Adapter pattern to build architectures that adopt and adapt
• to futuristic innovations. You'll examine the Minimum Valuable
• Increment design approach, the Manifesto for Future Generation
• Cloud Computing, and the manifesto areas that are relevant for
• aligning with the future research directions.

Final Exam: CloudOps Architect will test your knowledge and application of the topics presented throughout the CloudOps Architect track of the Skillsoft Aspire DevOps Engineer to CloudOps Architect Journey.