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.

VM-335: VMware Cloud Essentials and vCloud – Architecting the VMware Cloud FastTrack

Course Overview:

This FastTrack course combines combines two VMware courses (VMware Cloud Essentials and vCloud Architecting the VMware Cloud) into a single week course that adds extra exercises and labs to exemplify the techniques presented. The course begins with how to adopt, operate, and govern the cloud. The course enables participants to successfully complete the associated CompTIA Cloud Essentials™ Exam to become a Cloud Essentials™ Professional(CEP). This course also covers the subject matter specified by the VCP-Cloud certification.

This course is designed to guide students through the decision points and policy choices available for designing and implementing a VMware vCloud environment. Detailed labs and exercises for VMware vSphere™, VMware vCloud Director, VMware vCenter™ Chargeback, and the VMware® vShield Edge capability that is included with vCloud Director. A comprehensive VMware cloud design is demonstrated and discussed.

Attendees to VM-335: VMware Cloud Essentials and vCloud – Architecting the VMware Cloud FastTrack will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

Understand the common terms and definitions of cloud computing.
Understand the business benefits and business considerations of cloud computing.
Understand cloud computing from a technical perspective and recognize the various techniques, methods, challenges, and types of clouds.
Understand the impact and changes of cloud computing on IT service management.
Explain typical steps that lead to the successful adoption of cloud computing and understand the implications for organizations.
Recognize the compliance, risk, and regulatory consequences of cloud computing and its financial and strategic impact on an organization.
Evaluate and design a multitenant environment to address both private cloud and public cloud customer needs.
Configure vCloud providers that can accommodate heterogeneous server, storage, and network resources
Design a network infrastructure optimized for vCloud.
Integrate vCloud Director security with existing LDAP systems and design appropriate security hierarchies with security rolesnderstand the common terms and definitions of cloud computing.
Understand the business benefits and business considerations of cloud computing.
Understand cloud computing from a technical perspective and recognize the various techniques, methods, challenges, and types of clouds.
Understand the impact and changes of cloud computing on IT service management.
Explain typical steps that lead to the successful adoption of cloud computing and understand the implications for organizations.
Recognize the compliance, risk, and regulatory consequences of cloud computing and its financial and strategic impact on an organization.
Evaluate and design a multitenant environment to address both private cloud and public cloud customer needs.
Configure vCloud providers that can accommodate heterogeneous server, storage, and network resources.
Design a network infrastructure optimized for vCloud.
Integrate vCloud Director security with existing LDAP systems and design appropriate security hierarchies with security roles.
Design a vCenter Chargeback implementation.

Course Prerequisites:

VM-315 or equivalent experience.
Managing or administering at least one of UNIX, Windows, databases, networking, or security.

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RH-295: Linux System Administration II

Course Overview:

Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines. The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.

Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time	Event
06/08/2026 - 06/12/2026 08:00 -16:00	RH-295: Linux System Administration II TechNow, Inc, San Antonio TX
09/21/2026 - 09/25/2026 08:00 -16:00	RH-295: Linux System Administration II TechNow, Inc, San Antonio TX

Duration: 5 days

Course Objectives:

Managing Logical Volumes and RAID
Network Routing, Filtering and Monitoring
Configuring File Sharing Across Platforms
Configuring Internet Services
Configuring Security
Configuring System Messaging
Using Name Services
Configuring Name Service Clients
Configuring Kickstart
Virtualization with KVM
Troubleshooting Boot Process

Prerequisites:

RH-245: Linux System Administration I or equivalent knowledge plus six months experience as a system administrator or one year or more administrating the Red Hat operating system.

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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.

TN-979: Intrusion Analyst Course

Course Overview:

Intrusion Analyst is a hands-on course that covers intrusion detection in-depth. This includes concepts such as the use of Snort, network traffic analysis, and IDS signatures.

A skills focus enables the student to better absorb the subject matter and perform successfully on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of packet and intrusion analysis.

Attendees to TN-979: Intrusion Analyst will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Advanced Snort Concepts
Analyst Toolkit
Domain Name System (DNS)
Examining Packet Crafting
Examining Packet Header Fields
Fragmentation
ICMP Theory
IDS Interoperability
IDS Patterns
IDS/IPS Management & Architecture Issues
Indications, Warnings & Traffic Correlation
IPv6
Microsoft Protocols
Network Traffic Analysis
NIDS Evasion, Instertion & Checksums
Snort Fundamentals & Configuration
Snort GUIs & Sensor Management
Snort Performance, Active Response & Tagging
Snort Rules
Stimulus Response
TCPdump Fundamentals
TCP/IP Fundamentals
Wireshark Fundamentals
Writing TCPdump Filters

Course Prerequisites:

GSEC or equivalent experience
UNIX, Windows, Networking, and Security Experience
This is a hands-on skill course requiring comfort with command line interaction and network communications

Comments

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User: Tosha

Instructor comments: Dave was an excellent instructor. He is very informative and knowledgeable in the course and the material. I have enjoyed the class and I would take another course with him as the instructor.

Facilities comments: Very nice and clean hotel.

User: buckey26

Instructor comments: Dave was one of the best instructors I have ever had for a tech course. He broke down everything to the point where you can understand it internally.