PM-221: Agile Overview for Executives and Leaders

Course Overview: Clear and detailed discussion on the following course content:

What is the Agile Adaptive Methodology versus the Predictive (waterfall) Methodology?
The Agile Value Proposition, by explanation of the Agile Manifesto and Agile Principles.
What is the Scrum Framework by explanation of Scrum Roles, Ceremonies and Artifacts?
What are the artifacts of Product Planning, Release Planning and Sprint Planning?
What are the Agile impacts to corporate team structures and stakeholder alignment?
What are Agile myths and why an Agile transformation will fail?
What are Agile (hybrid) tailoring considerations?

Attendees to PM-221: Agile Overview for Executives and Leaderswill receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 1 Days

Course Objectives: Are you and executive or leader in your organization and interested in learning about Agile principles? This course details the Agile framework that uses an adaptive life cycle, specifically related to using the Scrum approach.

Upon successful completion of this course, students will be able to:

Understand an overview of the main aspects that leadership must know to implement strategic opportunities with Agile principles for product quality and on-time product delivery
Participants will dive into understanding the strategic and tactical elements of implementing Agile and Scrum into their organization
Receive details on how to understand the organizational impact that the Agile transformation could have on the different aspects of your current business processes

Target Student:

Designed specifically for leaders and senior managers or anyone wanting to understand the high-level basics of the Agile Framework

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TN-812: Information Systems Security Engineering Professional (ISSEP)

Course Overview:

This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.

Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

Systems Security Engineering
Certification and Accreditation
Technical Management
U.S. Government Information Assurance Governance

Prerequisites:

CISSP

Comments

Latest comments from students

User: fsarisen

Instructor comments: Thank you Tim for all the great information! I am confident that I'll do well on the ICND exam.

User: storoy30

Instructor comments: The instructor, Tim Burkard, was very knowledgeable on the course material and skilled at explain more complex ideas.

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EC-Council

TechNow,Inc is an Accredited Training Center. As an ATC we are authorized to conduct EC-Council curriculum courses. Students will receive official EC-Council Curriculum and access to iLabs and when applicable access to EC-Council Cyber Range.

Here are the EC-Council course offerings:

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.