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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Course Overview:

In this course, students learn the IPv6 protocols & processes & describe how IPv6 is supported in the latest versions of Microsoft Windows operating system.  Students will also learn how to describe transition technologies that allow you to deploy IPv6 in IPv4 intranets & across the IPv4 Internet.

Attendees to TN-395: Internet Protocol Version 6 (IPv6) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Learn how to create IPv6 networks with Cisco Systems products
  • Supplement your IPv6 course with a self-study guide based on the course materials
  • Understand practical applications of IPv6 through a solutions-oriented writing approach
  • Increase comprehension & retention through chapter tools like objectives, summaries, scenarios & review questions
  • Features & benefits of IPv6
  • IPv6 in the Windows Server2003 Family
  • IPv6 addressing & the IPv6 header
  • Internet Control Message Protocol for IPv6 (ICMPv6)
  • Neighbor & multicast listener discovery
  • Address auto configuration
  • IPv6 name resolution & routing
  • Coexistence & migration
  • IPv6 mobility

Prerequisites:

  • Students should have a working knowledge of a Windows OR Unix Operating system. 
  • In addition, the student should also have basic end-user skills in TCP/IP.

 

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Course Overview:

Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.

After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.

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 AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Identity and access
    • Configure Azure Active Directory for Azure workloads and subscriptions
    • Configure Azure AD Privileged Identity Management
    • Configure security for an Azure subscription
  • Platform Protection
    • Understand cloud security
    • Build a network
    • Secure network
    • Implement host security
    • Implement platform security
    • Implement subscription security
  • Security Operations
    • Configure security services
    • Configure security policies by using Azure Security Center
    • Manage security alerts
    • Respond to and remediate security issues
    • Create security baselines
  • Data and Applications
    • Configure security policies to manage data
    • Configure security for data infrastructure
    • Configure encryption for data at rest
    • Understand application security
    • Implement security for application lifecycle
    • Secure applications
    • Configure and manage Azure Key Vault

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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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)