TN-8155: HCISPP Preparation Seminar

 

Course Overview:

The HCISPP is the only certification that combines cybersecurity skills with privacy best practices and techniques. It demonstrates you have the knowledge and ability to implement, manage, and assess security and privacy controls to protect healthcare organizations using policies and procedures established by the cybersecurity experts at (ISC)2. TechNows HCISPP Certification Boot Camp is a comprehensive review of Healthcare cybersecurity with privacy best practices & industry best practices.

Attendees to TN-8155: HCISPP Certification Preparation Seminar will receive TechNow approved course materials and expert instruction..

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Strategically focus your preparation for HCISPP Certification
  • Cover a broad spectrum of topics in the 7 domains of the HCISPP Common Body of Knowledge (CBK)
  • Gain knowledge on the Healthcare industry including third party relationships and health data management concepts
  • Identify applicable regulations, compliance frameworks, privacy principles and policies to protect information security
  • Develop risk management methodology and identify control assessment procedures

Audience:

  • The HCISPP certification is ideal for security professionals responsible for safeguarding protected health information (PHI). Take this HCISPP training course to prepare to manage and implement security controls for healthcare information. HCISPPs are instrumental to a variety of job functions: Compliance Officer, Information Security Manager, Privacy Officer, Compliance Auditor, Risk Analyst, Medical Records Supervisor, IT Manager, Privacy & Security Consultants, and Health Information Manager.

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TN-512: Essential Business Analysis Course

Course Overview:

This course covers the key elements required to understand and apply business analysis techniques in an IT-centric business environment.  It identifies key best practices to deal with the challenges of eliciting, analyzing, and specifying project requirements.  The key material in each section of this course is reinforced with a student driven lab scenario allowing each participant hands-on practice with the key business analysis concepts that are introduced in this course. At the end of the focused sections on business analysis techniques, the students will engage in a student-driven business analysis case study blending all the learned techniques into a finished product. This course is approximately 60% lecture and  40% lab time.

Attendees to TN-512: Essential Business Analysis Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Overview of Business Analysis Workshop
  • Eliciting Project Workshop
  • Case Study
  • Analyzing Requirements and Writing Case Studies
  • Case Study

Prerequisites:

  • None

 

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TN-412: Artificial Intelligence Essentials (AI|E)

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:

No Events

TN-535: Certified Forensic Computer Examiner (CFCE)

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