MODULE 1: COURSE INTRODUCTION
At the end of this module, you will be able to:
- Identify the fundamental concepts of cloud computing and virtualization.
- Identify the technical challenges and the mitigation measures involved in cloud computing and virtualization.
- Understand the latest digitization trends associated with cloud computing.
- Define cloud security and identify the risks involved in cloud computing as well as the risk mitigation measures.
- List the steps to successfully adopt cloud services.
MODULE 2: INTRODUCTION TO CLOUD SERVICES MODEL
At the end of this module, you will be able to:
- List the challenges and concerns for traditional computing methodology.
- Define NIST’s and Gartner’s definition of cloud computing.
- Explain the evolution of cloud computing and list the cloud’s essential characteristics, service models, and deployment models.
- Define NIST’s cloud Taxonomy (service provider versus consumer responsibility model) and Cloud Actors (service providers, consumers, auditors, carriers, brokers).
- Distinguish between traditional and cloud computing models in terms of business value.
- List the cloud computing benefits and its challenges.
- Define the various common cloud terminologies used in cloud computing.
MODULE 3: INTRODUCTION TO VIRTUALIZATION: THE BACKBONE TECHNOLOGY OF CLOUD COMPUTING
At the end of this module, you will be able to:
- Understand the definition, history, and fundamental concepts of virtualization including the relationship between virtualization and cloud computing.
- Understand the benefits, challenges, risks, and suitability of virtualization to organizations.
- Understand what a hypervisor is, its role in virtualization, and different types of hypervisors.
- Identify leading hypervisor manufacturers and service providers who use them.
- Understand various virtualization terminologies.
- Understand briefly about various types of virtualization (server, storage, network, desktop, application).
MODULE 4: THE ROLE OF CLOUD AND OTHER TECHNOLOGIES IN DIGITAL TRANSFORMATION
At the end of this module, you will be able to:
- Understand the concepts of Big Data and Big Data Analytics, Hadoop, NoSQL databases, and their characteristics and types.
- Explain what is Internet of Things (IoT) and its types.
- Explain how cloud computing and DevOps together.
- Understand the latest digitization trends in Artificial Intelligence (AI) and Machine Learning (ML).
MODULE 5: CLOUD SECURITY, RISK, COMPLIANCE AND GOVERNANCE
At the end of this module, you will be able to:
- Understand general definitions of IT security, risk and risk management.
- Understand the role of IT compliance and audits.
- Understand the impact of cloud essential characteristics, cloud service models, cloud deployment models on business value and risk.
- Identify common cloud attack vectors and remediating controls.
MODULE 6: PREPARING FOR CLOUD ADOPTION
At the end of this module, you will be able to:
- Explain typical steps that lead to successful adoption of cloud computing services.
- Describe appropriate solution architectures for various service and deployment models.
- Understand organizational capabilities that are relevant for realizing cloud benefits.
- Understand the roles and capabilities of cloud computing providers, vendors and dependencies on vendors.
- Describe multiple approaches for migrating applications.
*Please Note: Course Outline is subject to change without notice. Exact course outline will be provided at time of registration.
