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-5305: Supporting and Troubleshooting Windows 11

 

Course Overview:

This five-day instructor-led course provides IT professionals with the knowledge and skills required to Support and Troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.

Attendees to TN-5320: Supporting and Troubleshooting Windows 11 will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Describe the processes involved in planning and using a troubleshooting methodology for Windows 11
  • Troubleshoot startup issues and operating system services on a Windows 11 PC
  • Perform system recovery
  • Resolve issues related to hardware devices and device drivers
  • Administer Windows 11 devices
  • Troubleshoot issues related to network connectivity
  • Configure Windows 11 devices by using Group Policy
  • Configure and troubleshoot user settings
  • Configure and troubleshoot resource access
  • Implement remote connectivity
  • Deploy and troubleshoot applications
  • Maintain Windows 11 devices

 

 Prerequisites: 

  • Networking fundamentals, including Transmission Control Protocol /Internet Protocol (TCP/IP), User Datagram Protocol (UDP), and Domain Name System (DNS).
  • Microsoft Active Directory Domain Services (AD DS) principles.
  • Understanding of the Public Key Infrastructure (PKI) components.
  • Windows Server fundamentals.

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TN-5315: Configuring Windows Devices

 

Course Overview:
This five-day instructor-led course provides IT professionals with the knowledge and skills required to deploy and manage Windows 10 desktops, devices, and applications in an enterprise environment. Students will learn how to plan and implement Windows 10 deployments in large organizations. Students will also learn how to manage the Windows 10 installations after deployment to provide secure identity and data access by using technologies related to User Experience Virtualization (UE-V), Group Policy, Work Folders and Client Hyper-V. To support a variety of device and data management solutions, Microsoft Azure Active Directory (Azure AD), Microsoft Intune, Microsoft Store for Business and Office 365 are used for device management. These services are part of the Enterprise Mobility+ Security, which provides identity and access management, cloud-based device management, application and update management, and more secure data access to information stored both on the cloud and onsite within your corporate network.

Attendees to TN-5315: Configuring Windows Devices will receive TechNow approved course materials and expert instruction.
Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Manage Identity
  • Plan Desktop and Device Deployment
  • Plan and Implement a Microsoft 365 Solution
  • Configure Networking
  • Configure Storage
  • Manage Data Access and Protection
  • Manage Remote Access
  • Manage Apps
  • Manage Updates and Recovery

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TN-801: Windows for Security Professionals

Course Overview:

This course will be fast paced with in-depth and live demonstrations.

Date/Locations:

No Events

Duration: 1 day

Course Objectives:

  • UEFI, SecureBoot, TPM, and Enterprise BitLocker
  • Windows VPN in the Enterprise
  • Windows Advanced Firewall
  • Utilizing Windows WMI
  • Administering Windows with Powershell
  • Using Autopsy for Forensics

Prerequisites:

 

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

AIE

 

Dates/Locations:

No Events