CCFE Core Competencies

  • Procedures and Legal Issues
  • Computer Fundamentals
  • Partitioning Schemes
  • Data Recovery
  • Windows File Systems
  • Windows Artifacts
  • Report writing (Presentation of Finding)
  • Procedures and Legal issues
  1. Knowledge of search and subjection and rules for evidence as applicable to computer forensics.
  2. Ability to explain the on-scene action taken for evidence preservation.
  3. Ability to maintain and document an environment consolidating the computer forensics.
  • Computer Fundamentals
  1. Understand BIOS
  2. Computer hardware
  3. Understanding of numbering system (Binary, hexadecimal, bits, bytes).
  4. Knowledge of sectors, clusters, files.
  5. Understanding of logical and physical files.
  6. Understanding of logical and physical drives.
  • Partitioning schemes
  1. Identification of current partitioning schemes.
  2. Understanding of primary and extended partition.
  3. Knowledge of partitioning schemes and structures and system used by it.
  4. Knowledge of GUID and its application.
  • Windows file system
  1. Understanding of concepts of files.
  2. Understanding of FAT tables, root directory, subdirectory along with how they store data.
  3. Identification, examination, analyzation of NTFS master file table.
  4. Understanding of $MFT structure and how they store data.
  5. Understanding of Standard information, Filename, and data attributes.
  • Data Recovery
  1. Ability to validate forensic hardware, software, examination procedures.
  2. Email headers understanding.
  3. Ability to generate and validate forensically sterile media.
  4. Ability to generate and validate a forensic image of media.
  5. Understand hashing and hash sets.
  6. Understand file headers.
  7. Ability to extract file metadata from common file types.
  8. Understanding of file fragmentation.
  9. Ability to extract component files from compound files.
  10. Knowledge of encrypted files and strategies for recovery.
  11. Knowledge of Internet browser artifacts.
  12. Knowledge of search strategies for examining electronic
  • Windows Artifacts
  1. Understanding the purpose and structure of component files that create the windows registry.
  2. Identify and capability to extract the relevant data from the dead registry.
  3. Understand the importance of restore points and volume shadow copy services.
  4. Knowledge of the locations of common Windows artifacts.
  5. Ability to analyze recycle bin.
  6. Ability to analyze link files.
  7. Analyzing of logs
  8. Extract and view windows logs
  9. Ability to locate, mount and examine VHD files.
  10. Understand the Windows swap and hibernation files.
  • Report Writing (Presentation of findings)
  1. Ability to conclude things strongly based on examination observations.
  2. Able to report findings using industry standard technically accurate terminologies.
  3. Ability to explain the complex things in simple and easy terms so that non-technical people can understand clearly.
  4. Be able to consider legal boundaries when undertaking a forensic examination

TechNow has been involved in enterprise client server architectures since 1990.  TechNow has delivered  national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations, 

TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies.  All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.

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Course Overview:

This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

TechNow is a CompTIA partner and uses official CompTIA Cloud+ curriculum.

Attendees to CT-215: Cloud+ will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time Event
10/19/2026 - 10/23/2026
08:00 -16:00
CT-215: Cloud+
TechNow, Inc, San Antonio TX

Course Duration: 5 days

Course Objectives:

  • Prepare to deploy cloud solutions
  • Deploy a pilot project
  • Test a pilot project deployment
  • Design a secure network for cloud deployment
  • Determine CPU and memory sizing for cloud deployments
  • Plan Identity and Access Management for cloud deployments
  • Analyze workload characteristics to ensure successful migration to the cloud
  • Secure systems to meet access requirements
  • Maintain cloud systems
  • Implement backup, restore, and business continuity measures
  • Analyze cloud systems for required performance
  • Analyze cloud systems for anomalies and growth forecasting
  • Troubleshoot deployment, capacity, automation, and orchestration issues
  • Troubleshoot connectivity issues
  • Troubleshoot security issues

Course Prerequisites:

  • Security+, Network+, CASP or equivalent experience
  • Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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Course Overview:

Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.  TechNow’s  Ansible course facilitates the dynamic IT infrastructure through automation.

This course also supports DevOps practices through Ansible playbooks automating workflows.  TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

Dates/Locations:

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Duration: 5 days

Course Objectives:

  • An introduction to Ansible
  • Install and configure Ansible development tools in VS Code and configure Ansible setting
  • Create and update inventories of managed hosts and manage connections to them
  • Automate administration tasks with Ansible Playbooks
  • Write effective playbooks at scale
  • Protect sensitive data used by Ansible Automation Platform with Ansible Vault
  • Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
  • Developing Automation Content: Variables, Task Control, Deploying Files
  • Developing Automation Content at Scale
  • Reusing Code with Ansible Roles and Content Collections
  • Automate Linux Administration Tasks

Prerequisites:

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Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

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