Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

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.

Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals

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Course Overview:

In this course, administrators of medium-to-large network sites will learn to use advanced routing to provide scalability for Cisco routers that are connected to LANs and WANs. Networking professionals will learn to dramatically increase the number of routers and sites using these techniques instead of redesigning the network when additional sites or wiring configurations are added. Hands-on labs ensure you thoroughly understand how to implement advanced routing within your network.

Attendees to N-405: ROUTE-Implementing Cisco IP Routing will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Planning Routing Services to Requirements
  • Implementing an EIGRP-Based Solution
  • Implementing a Scalable Multiarea Network
  • OSPF-Based Solution
  • Implement an IPv4- Based Redistribution Solution
  • Implementing Path Control Connection of an Enterprise Network to an ISP Network

Prerequisites:

  • None

 

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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:

No Events

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

Course Overview:

This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.

This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Introduction to Nessus and Vulnerability Scanning
  • Nessus Installation and Administration
  • Basic Nessus Scan Operation
  • Nessus Scan Configuration and Policy Creation
  • Vulnerability Analysis and Reporting with Nessus
  • Advanced Scan Configuration and Policy Creation
  • Introduction to Compliance and Auditing
  • Nessus Auditing Features
  • Windows System Auditing
  • Unix System Auditing
  • Cisco IOS Auditing
  • Nessus Database Auditing
  • Nessus Content Auditing
  • Auditing to Industry Guidelines
  • Auditing to Federal Guidelines

Prerequisites:

Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.

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