RH-345: Red Hat JBoss Application Administration I

 
 

Course Overview:

 

Install, configure, and manage Red Hat JBoss Enterprise Application Platform

Red Hat JBoss® Application Administration I teaches you the best practices for installing and configuring Red Hat JBoss Enterprise Application Platform 6. Through hands-on labs, learn the essential, real-world tasks that a system administrator needs to know to effectively deploy and manage applications on JBoss Enterprise Application Platform.

Attendees to RH-345: Red Hat JBoss Application Administration I, will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Duration: 5 Days

Course Objectives:

  • Overview of JBoss Enterprise Application Platform
  • Configure JBoss Enterprise Application Platform in standalone mode
  • Configure JBoss Enterprise Application Platform in domain mode
  • Configure servers
  • Use the CLI tool
  • The datasource subsystem
  • The logging subsystem
  • The messaging subsystem
  • The security subsystem
  • JVM configuration
  • Migrating applications to JBoss Enterprise Application Platform 6
  • The web subsystem

Prerequisites:

  • Linux System Administration

Comments

Latest comments from students

 

  

Liked the class?  Then let everyone know!

TN-413: Certified AI Program Manager (C|AIPM)

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)

 

 

TN-804: Corporate Risk Management

Course Overview:

TechNow understands the security threats that make your network & your company vulnerable.  We have developed a program to help you learn what those threats are, the kinds of defenses available, the language of Network Security, & how to organize yourself internally to deal with these Network Security issues.  TechNow's Corporate Risk Management course will give your team the fundamental skills & knowledge they need to develop, manage or implement your organization's Information Security Policy.

Attendees to TN-804: Corporate Risk Management will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 4 Days

Course Objectives:

  • Day 1
    • Chapter 1: What is information Security
    • Chapter 2: Types of Attacks
    • Chapter 3: Information Security Services
    • Chapter 4: Legal Issues
    • Chapter 5: Policy
  • Day 2
    • Chapter 6: Managing Risk
    • Chapter 7: Information Security Process
    • Chapter 8: Information Security Best Practices
    • Chapter 9: Internet Architecture
    • Chapter 10: Virtual Private Networks
  • Day 3
    • Chapter 11: E-Commerce Security Needs
    • Chapter 12: Encryption
    • Chapter 13: Hacker Techniques
    • Chapter 14: Intrusion Detection
  • Day 4
    • Chapter 15: UNIX Security Issues
    • Chapter 16: Windows Security Issues
    • Open Discussion

Prerequisites:

  • Basic computer literacy.

 

Comments

Latest comments from students

Liked the class?  Then let everyone know!

CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

N-485: In-Depth Securing Networks with Cisco Firepower Threat Defense NGFW

Course Overview:

An in-depth course on how to use and configure Cisco Firepower Threat Defense technology,  from device setup and configuration and including routing, high availability, Firepower Threat Defense migration, traffic control, and Network Address Translation (NAT).  Students implement advanced Next Generation Firewall (NGFW) and Next Generation Intrusion Prevention System (NGIPS) features, including network intelligence, file type detection, network based malware detection, and deep packet inspection.
Students will also learn how to configure site to site VPN, remote access VPN, and SSL decryption before moving on to detailed analysis, system administration, and troubleshooting.  This course combines lecture materials and hands on labs throughout to make sure that students are able to successfully deploy and manage the Cisco Firepower system.

It is a five-day instructor-led course that is aimed at providing network security engineers with the knowledge and skills that are needed to implement and maintain perimeter solutions that are based on Cisco Firepower security appliances. At the end of the course, students will be able to reduce risk to their IT infrastructure and applications using Cisco Firepower security appliance features, and provide detailed operations support for the Firepower appliance.

Attendees to N-485: In-Depth Securing Networks with Cisco Firepower Threat Defense NGFW will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Understand Sourcefire, Firepower 6.2, FireAMP, and Firepower Threat Defense (FTD)
  • Configure the Firepower Management Center (FMC)
  • Raise you confidence managing the Firepower Manager and Firepower tThreat Defense (FTD)
  • Describe the Cisco Firepower Systems infrastructure
  • Navigate the user interface and administrative features of the Cisco Firepower 6.2 system, including advanced analysis and reporting functionality to properly assess threats
  • Describe the System Configuration and Health policies and implement them
  • Describe the role Network Discovery (Firepower) technology plays in the Cisco devices
  • Describe, create, and implement objects for use in Access Control policies
  • Create DNS and URL policies and configure Sinkholes
  • Configure FTD policies such as Platform, Routing, Interface, Zones, PreFilter, QoS, NAT and Flex Config!
  • Describe advanced policy configuration and Firepower system configuration options
  • Configure Malware Policies to find and stop Malware
  • Understand Security Intelligence, and how to configure SI to stop attacks NOW!
  • Configure policies to find and stop Ransomware
  • Understand how to fine tune IPS policies
  • Understand how to find tun Snort Preprocessor policies (NAP)
  • Configure Correlation events, white rules, traffic profiles and create respective events and remediate them
  • Analyze events
  • Create reporting templates and schedule them
  • Configure backups, rule updates, Firepower Recommendations, URL updates, and more to run every week automatically
  • Set up external authentication for users using LDAP/Realms
  • Configuring system integration, realms, and identity sources
  • Configure FMC domains and implement them
  • Configure FTD HA with two FTD devices
  • SSL Policy – decrypt your traffic
  • AnyConnect and Site-to-Site VPN
  • Understand network and host based AMP.  Configure and analyze host based AMP
  • Understand Cisco Identity Services Engine (ISE)
  • Configure ISE and integrate with Cisco FMC identity policy using PxGrid

Prerequisites:

Comments

Latest comments from students

Liked the class?  Then let everyone know!