TechNow provides an array of courses to meet our customer's requirements. Courses that do not fit into our major course categories and custom or specialized courses appear here.
Here are courses about specilaized Software or Hardware:
Course Overview:
A rigorous Pen Testing program that, unlike contemporary Pen Testing courses, teaches you how to perform an effective penetration test across filtered networks. The course requires you to Pen Test IoT systems, OT systems, builds on your ability to write your own exploits, build your own tools, conduct advanced binaries exploitation, double pivot to access hidden networks, and various technologies.
What’s Included:
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- EC-Council official E-Courseware
- EC-Council official Certificate of Attendance
- EC-Council iLabs with access for 6 months
- EC-Council CPENT Range access
- CEH Exam Voucher
Dates/Locations:
No EventsDuration: 5 days
Course Content:
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- Module 01. Introduction to Penetration Testing
- Module 02. Penetration Testing Scoping and Engagement
- Module 03. Open Source Intelligence (OSINT)
- Module 04. Social Engineering Penetration Testing
- Module 05. Network Penetration Testing – External
- Module 06. Network Penetration Testing – Internal
- Module 07. Network Penetration Testing – Perimeter Devices
- Module 08. Web Application Penetration Testing
- Module 09. Wireless Penetration Testing
- Module 10. IoT Penetration Testing
- Module 11. OT/SCADA Penetration Testing
- Module 12. Cloud Penetration Testing
- Module 13. Binary Analysis and Exploitation
- Module 14. Report Writing and Post Testing Actions
Prerequisites:
Target Audience:
Penetration Testers, Ethical Hackers, Information Security Consultants/ Testers/ Analysts/ Engineers, Network Server Administrators, Firewall & System Administrators, Risk Assessment Professionals
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Course Overview:
PenTest+ is an intermediate-level certification for cybersecurity professionals who are tasked with penetration testing to identify, exploit, report, and manage vulnerabilities on a network. PenTest+ is at the same certification level as CT-395: CySA+. Depending on your course of study, PenTest+ and CySA+ can be taken in any order, but typically follow the skills learned in CT-325: Security+. PenTest+ focuses on offense through penetration testing and vulnerability assessment while CySA+ focuses on defense through incident detection and response. The most qualified cybersecurity professionals have both offensive and defensive skills. Attend Tech Now training for hands-on, instructor led course to prepare you for the CompTIA PT0-002 exam. This exam is hands-on, performance-based questions and multiple choice, to ensure each candidate possesses the skills, knowledge, and ability to perform tasks on systems.
What’s Included:
- 5 days of instructor led in classroom training
- Labs
- PenTest+ Courseware
- Exam Voucher
- PenTest+ onsite exam scheduling
Course Objectives:
- Plan and scope penetration tests
- Conduct passive reconnaissance
- Perform non-technical tests to gather information
- Conduct active reconnaissance
- Analyze vulnerabilities
- Penetrate networks
- Exploit host-based vulnerabilities
- Test application
- Complete post-exploit tasks
- Analyze and report pen test results
Dates/Locations:
No Events
Duration: 5 Days
Course Content:
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- Module 01. Planning and Scoping Penetration Tests
- Module 02. Conducting Passive Reconnaissance
- Module 03. Performing Non-Technical Tests
- Module 04. Conducting Active Reconnaissance
- Module 05. Analyzing Vulnerabilities
- Module 06. Penetrating Networks
- Module 07. Exploiting Host-Based Vulnerabilities
- Module 08. Testing Applications
- Module 09. Completing Post-Exploit Tasks
- Module 10. Analyzing and Reporting Pen Test Results
Prerequisites:
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- CT-225: Network+
- CT-325: Security+
- 3-4 years of hands-on information security or related experience
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Target Audience:
This course is designed for cybersecurity professionals tasked with penetration testing and vulnerability management.
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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.
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)