Course Overview:

Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture.  Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.

This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang.  Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.

In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.

Course Objectives:

  • Learn about Containers, Docker, Kubernetes, and OpenShift architecture
  • Overview DoD Enterprise DevSecOps Platform (DSOP) Reference Design and DoD Cloud Platform One (P1)
  • Tie together awareness of various DoD Cloud offerings and their relationships
  • Create containerized services
  • Manage containers and container images
  • Deploy multi-container applications
  • Install an OpenShift cluster
  • Configure and manage masters and nodes
  • Secure OpenShift
  • Control access to resources on OpenShift
  • Monitor and collect metrics on OpenShift
  • Deploy applications on OpenShift using source-to-image (S2I)
  • Manage storage on OpenShift

Course Outline:

  • Getting started with container technology
  • Creating containerized services
  • Managing containers
  • Managing container images
  • Creating custom container images
  • Deploying containerized applications on OpenShift
  • Deploying multi-container applications
  • Troubleshooting containerized applications
  • Comprehensive Review of Introduction to Container, Kubernetes, and RedHat OpenShift
  • Introducing Red Hat OpenShift Container Platform
  • Installing OpenShift Container Platform
  • Describing and exploring OpenShift networking concepts
  • Executing commands
  • Controlling access to OpenShift resources
  • Allocating persistent storage
  • Managing application deployments
  • Installing and configuring the metrics subsystem
  • Managing and monitoring OpenShift Container Platform

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Ability to use a Linux® terminal session and issue operating system commands
  • Good foundation in Linux
  • Experience with web application architectures and their corresponding technologies

Target Audience:

  • Developers who wish to containerize software applications
  • Administrators who are new to container technology and container orchestration
  • Architects who are considering using container technologies in software architectures
  • System administrators
  • System architects
  • Architects and developers who want to install and configure OpenShift Container Platform
  • Those working in the field of DevSecOps supporting DoD Platform One (P1) and other implementations

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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

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Your organization needs qualified professionals who can design, implement, and operate Cisco multiprotocol internet works.  With Cisco training from TechNow, you can gain the knowledge and experience your organization needs to succeed.

TechNow’s Cisco Training and Certification Career Path takes students from the fundamentals of networking through a complete line of Cisco courses designed to give students the knowledge and experience they need to master Cisco networking skills in a fast, thorough, and efficient manner.

Our Cisco training courses will prepare you for your work towards Cisco certification.  With years of experience in the Cisco training environment, TechNow can lead you through a dynamic experience to prepare you for Cisco certification.

A list of our Cisco Courses.

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Course Overview:

 

This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations.  We have a suite of courses and certifications that help  understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.

The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.

This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python.  The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.

This course utilizes the “Violent Python” text book.

Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 Days

Course Objectives:

  • Python Lanuage Refress
  • Network Sockets
  • Exception Handling
  • Hashes and Cracking Passwords
  • Threading
    • Concepts and Python Implementation
    • Queues and Synchronization
    • urlparse and httplib to probe URLs
    • Crack a password protected zip file
  • Port Scanner
    • Threading a Port Scanner
  • nmap integration
  • Deploying shellcode
  • Mechanize, BeautifulSoup
    • HTTP Form Password Guessing
    • HTTP Proxies (Burp Suite)
    • HTTP Cookies Session Hijacking
      • CookieMonster
  • Images and Metadata
  • Justniffer
  • SQL Injection
    • sqlmap
    • SQLBrute
  • Antivirus and IDS evasion
    • PyInstaller
    • Metasploit
  • Scapy
    • Deploy shellcode
    • DNS Cache Poisoning
    • Packety Violence

Prerequisites:

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