TechNow is in no way associated with SANS or GIAC, but has courses that are similar in subject matter:

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PP-244: CIPM + CIPP/E 4 Day GDPR Ready

 

Course Overview:

A combined course of CIPM + CIPP/E. Achieving a CIPM credential shows that you have a comprehensive knowledge of how data protection programs should work across an organization. Combine with a CIPP/E credential and prove that you not only can manage a data protection program, but you understand the regulations that govern them.

With a CIPM and CIPP/E combined you’ll be uniquely equipped to fulfill the DPO requirements of the GDPR. The CIPP/E relates to the knowledge a DPO must have concerning the European legal framework of the legislation, and the CIPM provides theoretical aspects necessary to lead an organization’s data protection policy.

The General Data Protection Regulation (GDPR) takes effect in 2018. Among its mandates is the requirement to appoint a knowledgeable Data Protection Officer (DPO) tasked with monitoring compliance, managing internal data protection activities, training data processing staff, conducting internal audits and more. There’s a lot to know, there’s a lot at stake and there’s a lot of opportunity for data protection professionals with the right training and education. 

What’s Included:

  • Authorized courseware
  • 2 Exam vouchers
  • IAPP membership

**GDPR Regulation Mandated May 25, 2018**

Course Objectives:

See individual courses for details: PP-212: CIPP/E Certified Information Privacy Professional Europe and GDPR Compliance

See individual courses for details: PP-222 CIPM Certified Information Privacy Manager and GDPR Compliance

Attendees to PP-244: CIPM + CIPP/E 4 Day GDPR Ready will receive TechNow approved course materials and expert instruction, and certification test vouchers and certificate of course completion.

TechNow is a International Association of Privacy Professionals (IAPP) Partner, and utilizes official curriculum from International Association of Privacy Professionals (IAPP).

TechNow has taught security courses for over 20 years, before most certifications existed and has successfully moved students through certification programs associated with IAPP, SANS, EC-Council and ISC2. Our instructor maintains over a dozen security certifications and has been the director of a company with international sales and compliance.

 

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Dates/Locations:

No Events

Duration: 4 Days

Course Content:

 

Prerequisites: None

Target Audience:

Data Protection Officers, Data Protection Managers, Auditors, Data Protection Lawyers, Records Managers, Information Officers, Legal Compliance Officers, Human Resource Officers, Security Manager, Information Manager, Anyone who uses processes and maintains personal data

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Over twenty years experience in the area of Solaris, Linux, and Unix ensures that you are benefiting from a very mature and successful Solaris, Linux, and Unix training program.  TechNow offers the full suite of Solaris, Linux, and Unix courses utilizing real hardware.  This is not virtualized Solaris on Intel processors, or remote connection to a distant system.  The student learns to deal with real hardware taking advantage of Sparc T series processors. Solaris 10 and Solaris 11 is taught hands-on with data center skills as the focus.  We also offer Solaris 10 migration courses to Solaris 10 or Solaris 11.

The following is a list of our Unix/Linux training courses:

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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.