TN-412: Artificial Intelligence Essentials (AI|E)

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline:

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events

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-412: Artificial Intelligence Essentials (AI|E)

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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VM-325: VMware View: Install, Configure and Manage

Course Overview:

This hands-on training course builds your skills in the VMware View^TM suite of products: VMware View Manager, VMware View Composer, and VMware® ThinApp^TM. Based on customer specification, this course can be based on View 4.x or 5.x, and ThinApp 4.x or 5.x releases.

Attendees to VM-325: VMware View: Install, Configure and Manage will receive TechNow approved course materials and expert instruction.

At the end of this course, you should understand the features and operations of View and be able to:

Install and configure View components
Create and manage dedicated and floating desktop pools
Deploy and manage linked-clone virtual desktops
Configure and manage desktops that run in local mode
Configure secure access to desktops through a public network
Use ThinApp to package applications

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Module 1: Course Introduction
Module 2: Introduction to VMware View
Module 3: View Connection Server
Module 4: View Desktops
Module 5: View Client Options
Module 6: View Administratory
Module 7: Configuring and Managing Linked Clones
Module 8: Local-Mode Desktops
Module 9: Command-Line Tools and Backup Options
Module 10: Managing VMware View Security
Module 11: View Manager Performance and Scalability
Module 12: VMware® ThinApp^TM

Prerequisites:

VM-315: VMware Infrastructure: Install, Configure and Manage
Experience in Microsoft Windows Active Directory Administration
Experience with VMware vSphere^TM
Before attending the course, students must be able to perform the following tasks:
- Create a template in VMware vCenter^TM Server and deploy a virtual machine from it
- Modify a template customization file
- Open a virtual machine console in vCenter Server and access the guest operating system
- Configure Active Directory services

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TN-909: Windows Forensic Analysis

Course Overview:

Windows Forensic Analysis is a hands-on course that covers digital forensics of the Microsoft Windows operating system. The collection and analysis of data tracking user based activity that can be used for internal purposes or legal litigation. TechNow has the student analyze many data images for various Windows operating systems, as current as Windows 8.1, Windows 10 in an environment that uses many Cloud technologies such as Office365, Skydrive, Sharepoint, Exchange Online, and Windows Phone.

This is not death by power point. The course is aligned with digital forensic investigators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Windows Forensic Analysis.

Attendees to TN-909: Windows Forensic Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Windows Operating System Components
Core Forensic Principles
Live Response and Triage-Based Acquisition Techniques
Windows Image Mounting and Examination
Memory, Pagefile, Filesystems
Data and Metadata
Profiling systems and users
Tracking USB and BYOD
Log and Registry Analysis
User Communications
Email Forensics
Browser Forensics
Reporting and Presentation