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)

 

 

Increase your credibility, job security, and career opportunities by reaching your goal and getting certified!  TechNow offers many CompTIA bootcamp style courses in which we administer an exam on the last day of class.  We have a proven testing program that will get you the results you want!

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Course Overview:

A skills focus enables the student to better absorb the subject matter and perform successfully on the exam.   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 the attacks and the effectiveness.  Students then gain network experience and use sniffing to help exemplify the benefit of learning wired and wireless security configurations. The course concludes with exercising real attack strategies to demonstrate the techniques acquired throughout the course.

Attendees to TN-939:  Hacker Techniques, Exploits, and Incident Handling will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 9 days

Course Objectives:

  • Backdoors & Trojan Horses
  • Buffer Overflows
  • Covering Tracks: Networks
  • Covering Tracks: Systems
  • Denial of Service Attacks
  • Exploiting Systems Using Netcat
  • Format String Attacks
  • Incident Handling Overview and Preparation
  • Incident Handling Phase 2: Identification
  • Incident Handling Phase 3: Containment
  • Incident Handling: Recovering and Improving Capabilities
  • IP Address Spoofing
  • Network Sniffing
  • Password Attacks
  • Reconnaissance
  • Rootkits
  • Scanning: Host Discovery
  • Scanning: Network and Application Vulnerability scanning and tools
  • Scanning: Network Devices (Firewall rules determination, fragmentation, and IDS/IPS evasion)
  • Scanning: Service Discovery
  • Session Hijacking, Tools and Defenses
  • Types of Incidents
  • Virtual Machine Attacks
  • Web Application Attacks
  • Worms, Bots & Bot-Nets

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

Latest comments from students


User: m_jurrens

Instructor comments: Both instructors Mr. Askey and Mr. Hackney, were very good. the open learning environment was extremely productive and I felt we all learned far more that we ever would out of a structured rote memorization course.


User: natebonds

Instructor comments: Both Mr. Askey and Hackney were extremely knowledgeable. They were also extremely interested in helping each student learn. I was particularly impressed with the way they tailored the course to optimize our time since we weren't testing. I feel like I know much much more than I did when the class started.

Facilities comments: The facilities were fine. I would have preferred it be closer to Lackland.


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Course Overview:

Looking to move up in the information security field? If you have at least one year of security experience, you qualify for the Systems Security Certified Practitioner (SSCP) certification, which offers junior security professionals a way to validate their experience and demonstrate competence with (ISC²)®’s seven domains.

Attendees to TN-715: Systems Security Certified Practitioner (SSCP) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
07/13/2026 - 07/17/2026
08:00 -16:00
TN-715: Systems Security Certified Practitioner (SSCP)
TechNow, Inc, San Antonio TX
10/05/2026 - 10/09/2026
08:00 -16:00
TN-715: Systems Security Certified Practitioner (SSCP)
TechNow, Inc, San Antonio TX

Duration: 5 Days

Course Objectives:

  • Access Controls
  • Security Operations and Administration
  • Analysis and Monitoring
  • Cryptography
  • Networks and Telecommunications
  • Malicious Code/Malware
  • Risk, Response, and Recovery

Prerequisites:

  • One year security experience
  • Some knowledge of the (ISC²)®’s seven domains

Comments

Latest comments from students


User: boyleb15

Instructor comments: Instructor was very knowledgeable on most items covered during this course. There were some topics he did lack the answer to. Instructor would also get sidetracked easily


User: keginth

Instructor comments: he was phenomenal with test prep and knew the book well

Facilities comments: adequate


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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.