Appendix 3 - S6 Staff Course (S6).pdf

S6 Staff Course (S6)

Appendix 3 - S6 Staff Course (S6)

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Implement Cloud Service Oversight and Consumption

Description:

This course is designed to provide participants with a comprehensive overview of the fundamental concepts, principles, and technologies that define the world of cloud computing. Learners will explore the core components of cloud computing, including cloud architecture, service models, deployment models, security, scalability, and emerging trends.

Cloud Foundations: (1 hour) Provide learners with an introduction to cloud computing and the Army Cloud Plan with an understanding of how it provides a comprehensive framework for managing cloud technologies in support of Army operations. Identify the benefits and challenges associated with implementing cloud technologies and the learner’s role in leveraging cloud for mission success.

• Discuss cloud computing and cloud service providers o Definition and characteristics of cloud computing o Benefits and advantages of cloud computing o DoD Approved providers

• Define key terms and concepts in cloud computing

• Define the key components of the Army Cloud Plan

• Recognize ECMA and its role within the Army cloud ecosystem

• Compare advantages of cloud computing vs traditional data centers

• Discuss Cloud Architecture & Service Models o Overview of IaaS, PaaS, and SaaS o Use cases and considerations for each service model

• Identify Cloud Deployment Models o Public, private, hybrid, and multi-cloud deployment models o Benefits, considerations, and use cases for each model

• Explore Cloud Security and Tools o Security considerations and best practices in the cloud o Data protection, encryption, and IAM in cloud environments

• Describe Cloud Migration and Integration

• Define FinOps o Explore strategies and best practices for optimizing costs o Pay-as-you-go models, cost monitoring tools, and resource utilization optimization

• Discuss Emerging Trends in Cloud Computing o Serverless Computing o Edge Computing o Artificial Intelligence/Machine Learning (AI/ML) capabilities

Microsoft Azure Administrator Essentials: (2 hour) The Microsoft Azure Administrator Essentials course is designed to provide participants with essential knowledge and skills required to become proficient in administering Azure services and resources. By the end of this course participants will have a solid foundation in Azure administration, enabling them to effectively manage and secure Azure resources.

Module 1: Introduction and Azure Fundamentals Introduction to Azure fundamentals and core concepts

Module 2: Azure Resource Management Azure subscriptions and management groups Creating and managing resource groups

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Module 3: Virtual Machines and Storage Management Creating and configuring virtual machines Managing Azure storage accounts and services

Module 4: Networking and Security Azure Virtual Networks (VNETs) and subnets Implementing network security groups (NSGs)

Module 5: Identity and Access Management Azure Active Directory (AAD) and user management Role-based access control (RBAC) and access management

Module 6: Monitoring and Diagnostics Introduction to Azure Monitor and diagnostics Monitoring Azure resources and troubleshooting

Module 7: Backup and Disaster Recovery Azure Backup services for data protection Azure Site Recovery for disaster recovery scenarios

Module 8: Cost Management and Optimization Azure cost management techniques and tools

Throughout the course, participants will engage in interactive discussions and hands-on demonstrations to reinforce their understanding of Azure administration essentials.

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Implement Data Oversight & Consumption (S6)

Description:

This course is designed to provide participants with a comprehensive understanding of the foundational concepts and practical skills necessary to work with data effectively. This course focuses on building a strong foundation in data fundamentals, enhancing data literacy, and developing data analysis skills to derive meaningful insights from various datasets.

Army Data Operations Foundation (1 hour) Provide Soldiers with and overview of the Army Data Plan and an understanding of how it provides a comprehensive framework for managing data in support of Army operations. Identify the challenges associated with implementing the plan and their role in turning data strategy into action to leverage data for mission success.

• Discuss the importance of data in military operations.

• Review the key components of the Army Data Plan

• Describe how Signal professionals use information to support situational understanding

• Understand how to collaborate with other data professionals

Data Fundamentals (2 hours) Introduce data terms and concepts involved in data operations and its importance in managing and maintaining data-driven systems. Discuss the processes and considerations involved in acquiring, generating, and collecting data. This section explores various methods, technologies, and best practices for effectively and ethically capturing data to ensure its quality and integrity. Soldiers will gain insights into the importance of data source evaluation, data capture techniques, and legal and ethical considerations in data collection.

• Explain common terms used in data and analytics

• https://assets.datacamp.com/email/other/Cheat+Sheet_DS+For+Business+Leaders.pdf

• https://ai.plainenglish.io/master-data-science-with-this-comprehensive-cheat-sheet-numpy-pandas-python-r-ml-dl-nlp-188d50a54952

• Determine sources of data

• Ethical considerations

• How was data captured

• What regulations govern data

• Quality of the data

• Review the quality and limitations of data

• Current capabilities

• Potential of data and analysis methods

• Discuss basic statistical thinking

• Distributions

• Outliers

• Means

• Rates

• Ratios

• Correlation

• Causation

• Discuss how to ask questions to get the right context for specific analysis

• Listening

• Collaborating

• Don’t Solutionize https://assets.datacamp.com/email/other/Cheat+Sheet_DS+For+Business+Leaders.pdf https://ai.plainenglish.io/master-data-science-with-this-comprehensive-cheat-sheet-numpy-pandas-python-r-ml-dl-nlp-188d50a54952 https://ai.plainenglish.io/master-data-science-with-this-comprehensive-cheat-sheet-numpy-pandas-python-r-ml-dl-nlp-188d50a54952

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• Navigating bias and politics

• Feedback Loop

• Compare and contrast performance measurement data using effective data visuals

• How to read visualizations for insight

• Questions to ask of visualizations

• Benefits of other charts

• Discuss how to communicate insights in a way that drives action

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Implement Zero Trust Principles

Description:

This course is designed to provide participants with a broad understanding of the Zero Trust security framework. In this course, learners will gain insights into the principles, benefits, and implementation strategies of Zero Trust, enabling them to make informed decisions and drive transformational changes in their organization's cybersecurity approach.

Introduction to Zero Trust Architecture (.5 hour) This module provides an overview of Zero Trust and explores its key principles and concepts. At the end of the Zero Trust introduction module, learners will be able to explain the key principles and concepts of Zero Trust architecture, understand its fundamental shift from perimeter-based security, and articulate the importance of continuous verification and dynamic access controls in mitigating modern cyber threats.

• Define the Zero Trust Framework

• Discuss key principles and concepts of Zero Trust

Benefits of Zero Trust (20 minutes) This module is designed to provide learners with a comprehensive understanding of the advantages that implementing Zero Trust architecture can bring to organizations. Participants will be able to identify and describe the specific benefits that implementing Zero Trust architecture can bring to their organization, such as improved security resilience, reduced attack surface, enhanced threat detection capabilities, and increased compliance with regulatory requirements.

• Improved security posture and risk reduction

• Enhanced visibility and control

• Agility and flexibility in a dynamic threat landscape

Zero Trust Implementation Strategies (20 minutes) This module is designed to provide learners with an overview of the steps necessary to effectively plan and execute the deployment of Zero Trust architecture within their organization. Participants will explore different strategies, considerations, and best practices for successfully implementing Zero Trust principles and components.

• Transitioning from traditional security models to Zero Trust

• Different implementation strategies and approaches

• Considerations for planning and executing a Zero Trust transformation

Key Components of Zero Trust (.5 hour) This module explores the foundational components and technologies that are integral to implementing Zero Trust principles effectively. Through this module, participants will gain an understanding of the essential components and technologies that make up a Zero Trust architecture, such as identity and access management (IAM), multifactor authentication (MFA), network segmentation, and continuous monitoring.

• Discuss identity and access management (IAM)

• Discuss multifactor authentication (MFA)

• Discuss network segmentation

• Discuss continuous monitoring and analytics

Role of Zero Trust in Cloud and Remote Work Environments (20 minutes) This module is designed to provide learners with a high-level understanding of how Zero Trust principles and practices apply to the unique challenges and requirements of cloud-based resources and remote work scenarios. Learners will understand how Zero Trust can mitigate risks, protect sensitive data, and ensure the integrity of cloud-based applications and services.

• Securing cloud resources within a Zero Trust model

• Addressing remote workforce and third-party connections

• Zero Trust implications for emerging technologies