Course Overview: 

Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network.  This course is heavily based on Kali and primarily on Metasploit.  In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco.  This course is 90% hacking, but  defenses for demonstrated hacks will be discussed.  If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.

Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Introduction to Pen Testing using the PTES model
  • Metasploit Basics
    • MSFconsole, MSFcli, Armitage, MSFpayload, MSFencode, NasmShell
  • Intelligence Gathering
    • Nmap, Databases in Metasploit, Port Scanning with Metasploit
  • Quick Intro to Ruby
    • Writing a simple Ruby script to create a custom scanner
  • Vulnerability Scanning
    • Importing Nessus Results
    • Scanning with Nessus from Within Metasploit
  • Exploitation
    • Using the Metasploit Framework and console to exploit
  • Meterpreter
    • Compromising a Windows System
    • Attacking MS SQL, xp_cmdshell
    • Dumping Usernames and Passwords, extracting and dumping hashes
    • Pass the Hash and Token Impersonation
    • Pivoting
    • Railgun
    • Using Meterpreter Scripts: Migrating a process, Killing AV, Persistence
  • Avoiding Detection
    • Creating Stand-Alone Binaries with MSFpayload
    • Encoding with MSFencode and Packers (go Green Bay:)
  • Exploitation Using Client Side Attacks
    • Introduction to Immunity Debugger
    • Using Immunity Debugger to Decipher NOP Shellcode
  • Metasploit Auxiliary Modules
  • Social Engineer Toolkit (SET)
    • Spear-Phishing, Web Attack
    • Creating a Multipronged Attack
  • Creating Your Own Module
    • Adapt an existing Module
    • Add some PowerShell and Run the Exploit
  • Meterpreter Scripting
  • Capture The Flag Exercise

Prerequisites:

  • This is an advanced  Cybersecurity and Information Assurance Course which requires basic Windows & UNIX competency
  • Certification or 2 years of experience in these operating systems is highly recommended
  • An understanding of TCP/IP

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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

 

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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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

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