Cloud Courses Description

Transcription

1 Courses Description 101: Fundamental Computing and Architecture Computing Concepts and Models. Data center architecture. Fundamental Architecture. Virtualization Basics. platforms: IaaS, PaaS, SaaS. deployment model: Public, private and hybrid clouds. services and applications. Data Storage Basics. Performance Monitoring. Security Basics. Related Standards. 102: Technology and Services Platforms Services: Google, Microsoft Windows Azure. Web 2.0 and clouds. Service-oriented architecture. service delivery models. Hypervisors. Elastic Environment. Resilient Environment. Multitenant Environment. Exploring services of Amazon s, Google App Engine, Windows Azure and Mobile cloud. 103: Virtualization Virtualization concepts. Fundamental virtualization mechanisms and methods. Server virtualization (Hypervisors). Desktop virtualization. Storage virtualization. Network virtualization. Workload and Image deployment. Data storage virtualization. Virtualization-related reliability, performance and integration. Virtualization standards and open formats. 104: Security security architecture. Key management. Identity and access management. digital identity. data security. Data privacy, protection, responsibility and accountability. Content level security. Security controls for preventative and reactionary responses to common threats and attacks. Intrusion detection and incident response. Auditing and compliance. Application security. Security in private clouds. 201: Databases and Big Data Technology Architecture, design, and implementation of massive-scale database systems in cloud computing environment. Technology foundations for big data including NoSQL and MapReduce concepts. Big data management. Analytics and big data. Big data implementation and its solution in the real world. 202: Resource Provisioning and Management scaling and load balancing. Capacity planning. Designing for scaling. Sharding. Online demands, and load balancing. Resource partitioning. storage devices, structures, and technologies. -based data storage and file systems. -based backup systems. -based database solutions. -based block storage. High reliability and availability models. Performance tuning. 203: Disaster Recovery and Continuity in the Concepts of disaster recovery and business continuity. Backup and archive. Local replication and remote replication. storage interoperability. contracting models. Service level agreement for clouds. Planning process for risk assessment. Design and implementation of disaster recovery plans. 204: Governance, Risk Management and Auditing Definition of cloud governance precepts, roles, practices, and processes. Common governance challenges and pitfalls specific to cloud computing. Risk management. Policy, risk, and governance for cloud computing. Event and incident response. Risk analysis and division of responsibility. system and infrastructure lifecycle management. Protection and privacy of information assets in the cloud. assurance, control frameworks and standards. Risk assessment for cloud migration. SOA government for the cloud. Legal ethics and cloud use.

2 Specialist Certificates Courses and Schedule TERM 1 (12 Weeks) 101: Computing Concepts and Models 1. Computing Concepts and Models VMWare Fundamental Computing and Data center architecture Fundamental Architecture 2. Fundamental Architecture 3. Virtualization Basics OpenStack installation and configuration Architecture Virtualization Basics 4. Infrastructure Mechanism Stack installation and platforms: IaaS, PaaS, SaaS. 5. Private using OpenStack configuration deployment model: Public, private 6. Private using Stack Microsoft Windows Azure and hybrid clouds 7. Microsoft Private system management services and applications 8. Data Storage Basics monitoring software Data Storage Basics 9. Performance Monitoring Performance Monitoring 10. Security, Compliance, Risk and Security Basics Governance Related Standards 11. Related Standards 12. Business Case Experience Sharing 102: Technology and Services -Enabling Technology Web 2.0 and clouds Service-oriented architecture and Platforms Services Service Delivery Models Using and Managing IaaS Services Using and Managing PaaS Services Exploring services of Amazon s, Google App Engine, Windows Azure Testing and Managing Migrating to the Coding -Based Applications with Google App Engine Mobile and cloud computing 1. Introduction to -Enabling Technology 2. Web 2.0 and the 3. Planning and Implementing Services 4. Using and Managing IaaS Services 5. Using and Managing PaaS Services 6. Industry Show Case Using Microsoft Services 7. SOA and the 8. Middleware 9. Testing and Managing 10. Working with Mobile Web Services: Windows Phone and Azure 11. Coding -Based Applications with Google App Engine 12. Migrating to the Amazon services Google App Engine services Windows Azure services Windows Phones via Azure

3 TERM 2 (12 Weeks) 103: Virtualization concepts. Fundamental 1. Virtualization Concepts VMWare Virtualization virtualization mechanisms and 2. Creating Virtual Machines Citrix Xen, Xen methods. Server virtualization 3. Exploiting Virtual Workstation Functionality Microsoft HyperV (Hypervisors). Desktop virtualization. 4. Server Virtualization 5. Desktop Virtualization Storage virtualization. Network 6. Storage Virtualization virtualization. Workload and Image 7. Managing Microsoft Hyper-V deployment. Data storage 8. Managing VMWare virtualization. Virtualization-related 9. Network Virtualization reliability, performance and 10. Application Virtualization integration. Virtualization standards and open formats. 11. Service Virtualization 12. Virtualization Management 104: Security security architecture. Key management. Identity and access management. digital identity. data security. Data privacy, protection, responsibility and accountability. Content level security. Security controls for preventative and reactionary responses to common threats and attacks. Intrusion detection and incident response. Auditing and compliance. Application security. Security in private clouds. 1. Threats and Vulnerabilities 2. Security Architecture 3. Virtualization Security 4. Microsoft Hyper V Security 5. Identity and Access Management and Identity as a Service 6. Key Management and Encryption 7. Data Security, Protection, Responsibility and Accountability 8. Privacy Issues in s 9. Incident Response in s 10. Governance and Risk Management 11. Auditing and Compliance 12. Security Standards and Management VMWare security Xen security Microsoft HyperV security Open source identity management software OpenStack security Stack security Vulnerability test Auditing tools CCSK practice

4 TERM 3 (12 Weeks) 201: Databases and Big Data Tooling and monitoring system. Redundant storage and storage. 1. The Evolution of Network Storage 2. Understanding -Based Storage Amazon databases Microsoft SQL Server Technology Workload management. Load 3. -Based Data MySQL Balanced Virtual Switches and Service Load Balancing. Load 4. -Based Backup System 5. File Systems and Storage NoSQL databases Hadoop Balanced Virtual Servers. Networking Technologies Resource reservation. 6. -Based Data Storage 7. -Based Databases 8. -Based Block Storage 9. Software Defined Storage 10. Storage Capacity Optimization 11. Storage Reliability, Availability and Serviceability (RAS) 202: Resource Provisioning and Management scaling and load balancing. Capacity planning. Designing for scaling. Sharding. Online demands, and load balancing. Resource partitioning. storage devices, structures, and technologies. -based data storage and file systems. based backup systems. based database solutions. based block storage. High reliability and availability models. Performance tuning. 12. analytics tools 1. Scaling and Load Balancing in the 2. Capacity Planning 3. Designing for Scaling: Sharding 4. Designing for On-Demand Capacity: bursting 5. Designing for Exponentially Storage 6. Design Patterns for Load Balancing 7. Resource Provisioning 8. Performance Tuning 9. Example: Amazon Elastic 10. SOA as a Precursor to Achieving High Reliability at Scale Monitoring tools Load balancing tools Performance measurement

5 TERM 4 (12 Weeks) 203: Disaster Recovery and Continuity in the 204: Governance, Risk Management and Auditing Concepts of disaster recovery and business continuity. Backup and archive. Local replication and remote replication. storage interoperability. contracting models. Service level agreement for clouds. Planning process for risk assessment. Applying decision trees for disaster recovery plans. Design and implementation of disaster recovery plans. Definition of cloud governance precepts, roles, practices, and processes. Common governance challenges and pitfalls specific to cloud computing. Risk management. Policy, risk, and governance for cloud computing. Event and incident response. Risk analysis and division of responsibility. system and infrastructure lifecycle management. Protection and privacy of information assets in the cloud. assurance, control frameworks and standards. Risk assessment for cloud migration. SOA government for the cloud. Legal ethics and cloud use. 1. Introduction to Disaster Recovery and Business Continuity 2. Backup and Archive 3. Local Replication 4. Remote Replication 5. Storage Interoperability 6. Monitoring Storage Infrastructure and Service Level Agreement 7. Planning Process 8. Using Decision Trees to Design Disaster Recovery Plans 9. Using Decision Trees to Design Business Continuity Plans 10. Case Study: Mapping VMware Product Features to DRP and BCP 11. Implementing Disaster Recovery Plan 12. Disaster Recovery and Business Continuity Standards 1. Introduction to Governance and Risk Management 2. Policy, Risk, and Governance for Computing 3. Intrusion Detection and Incident Response 4. Risk Analysis and Division of Responsibility 5. System and Infrastructure Lifecycle Management for the 6. Protection and Privacy of Information Assets in the 7. Assurance, Control Framework and Standards 8. Risk Assessment for Migration 9. SOA Government for the 10. CSP Agreement and Examples 11. Morphing 12. Legal Ethics and Use