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-835: Certified in Risk and Information Systems Control (CRISC) Preparation Seminar

Course Overview:

Certified in Risk and Information Systems Control (CRISC), is for professionals responsible for an organization's risk management program. Students looking to acquire CRISC qualify themselves as IT security analyst, security engineer architect, information assurance program manager and senior IT auditor. CRISC certified professionals manage risk, design and oversee response measures, monitor systems for risk, and ensure the organization's risk management strategies are met.

The CRISC exam will primarily align with the terminology and concepts described in The Risk IT Framework, The Risk IT Practioner Guide, and COBIT 5. This will include applications in the evaluation and monitoring of IT-based risk, as well as the design and implementation of IS controls.

The CRISC exam covers four domains that are periodically updated to reflect the changing needs of the profession:

Domain 1: Risk Identification
Domain 2: Risk Assessment
Domain 3: Risk Response and Mitigation
Domain 4: Risk and Control Monitoring and Reporting

This course is designed to assist in your exam preparation for the CRISC exam.

Attendees to TN-835: Certified in Risk and Information Systems Control (CRISC) Seminar will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

Risk IT Framework—Purpose and Principles
Essentials of Risk Governance, Evaluation, and Response
Risk and Opportunity Management Using CobiT, Val IT and Risk IT
The Risk IT Framework Process Model Overview
Managing Risk in Practice—The Practitioner Guide Overview
Overview of the Risk IT Framework Process Model
The Risk IT Framework

Prerequisites:

A minimum of at least three (3) years of cumulative work experience performing the tasks of a CRISC professional across at least three (3) CRISC domains is required for certification. There are no substitutions or experience waivers.

Comments

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User: tracycampbell

Instructor comments: Dave had great command of the class and the flow of information. The lessons seem relevant to the exam and the course material should assist greatly with passing. As a bonus, his breakdown of PKI helped with my current job requirements.

Facilities comments: The Home2Suites by Hilton was FANTASTIC!

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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-430: Elasticsearch Engineer (ELK)

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

Define an index that satisfies a given set of requirements
Define and use an index template for a given pattern that satisfies a given set of requirements
Define and use a dynamic template that satisfies a given set of requirements
Define an Index Lifecycle Management policy for a time-series index
Define an index template that creates a new data stream

Searching Data

Write and execute a search query for terms and/or phrases in one or more fields of an index
Write and execute a search query that is a Boolean combination of multiple queries and filters
Write an asynchronous search
Write and execute metric and bucket aggregations
Write and execute aggregations that contain sub-aggregations
Write and execute a query that searches across multiple clusters
Write and execute a search that utilizes a runtime field

Developing Search Applications

Highlight the search terms in the response of a query
Sort the results of a query by a given set of requirements
Implement pagination of the results of a search query
Define and use index aliases
Define and use a search template

Data Processing

Define a mapping that satisfies a given set of requirements
Define and use a custom analyzer that satisfies a given set of requirements
Define and use multi-fields with different data types and/or analyzers
Use the Reindex API and Update By Query API to reindex and/or update documents
Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

Diagnose shard issues and repair a cluster’s health
Backup and restore a cluster and/or specific indices
Configure a snapshot to be searchable
Configure a cluster for cross-cluster search
Implement cross-cluster replication

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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