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.
AWS System Operations begins with a one day introduction to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS.
The AWS course continues to flow with teaching those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.
To continue to learn more about AWS, TechNow has the following course:
Attendees to CL-415: AWS System Operations will receive TechNow approved course materials and expert instruction.
Duration: 5 Days
Audience:
This course is intended for:
• System Administrators
• Software Developers, especially those in a Developer Operations (DevOps) role
DoD 8140: Not Mandated
Course Prerequisites:
We recommend that attendees of this course have the following prerequisites:
• Background in either software development or systems administration
• Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)
• Basic knowledge of networking protocols (TCP/IP, HTTP)
Course Objectives:
This course is designed to teach you how to:
• Understand basic data center design concepts.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational infrastructure services, including Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Auto Scaling, and Elastic Load Balancing (ELB).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS).
• Understand AWS management tools, including Amazon CloudWatch and AWS Trusted Advisor.
• Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line
• Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
• Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console
• Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances
• Monitor the health of Amazon EC2 instances and other AWS services
• Manage user identity, AWS permissions, and security in the cloud
• Manage resource consumption in an AWS account using tools such as Amazon CloudWatch, tagging, and Trusted Advisor
• Select and implement the best strategy for creating reusable Amazon EC2 instances
• Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
• Edit and troubleshoot a basic AWS CloudFormation stack definition
Dates/Locations:
No Events
Course Outline:
Day 1
• Introduction and History of AWS
• AWS Infrastructure: Compute, Storage, and Networking
• AWS Security, Identity, and Access Management
• AWS Databases
• AWS Management Tools
Day 2
• System Operations on AWS Overview
• Networking in the Cloud
• Computing in the Cloud Day 3
• Storage and Archiving in the Cloud
• Monitoring in the Cloud
• Managing Resource Consumption in the Cloud Day 4
• Configuration Management in the Cloud
• Creating Scalable Deployments in the Cloud
• Creating Automated and Repeatable Deployments Day 5 Full Day Lab
• Select the appropriate AWS service based on compute, data, or security requirements
• Execute steps required to provision cloud resources for selected deployment
• Identify and implement data protection, encryption, and capacity planning
• Implement and manage security policies, access controls, and role
• Implement Automation
Windows Security Automation and Threat Hunting with PowerShell Seminar
Location: 400 W Wisconsin Ave, Milwaukee, WI 53203, USA
Date: October 10, 2018 8:00am – 4:00pm
Duration: 8 hours
Audience: Cyber Security professionals and Windows administrators
Attendees Environment: Laptops not required, but suggested to have better hands-on absorption of subject matter.
Description:
PowerShell is both a command-line shell and scripting language. Fight fires quickly using existing or custom PowerShell commands or scripts at the shell. PowerShell is made for Security Operations (SecOps) automation on Windows. This seminar does not require prior programming skills. The seminar focuses on PowerShell programming, giving a beginner skills to be productive in windows scripting to automate tasks and also remediate problems.
Cyber Security is the objective of this seminar, and the PowerShell examples will demonstrate PowerShell capabilities that help lock down a Windows system and also report security status.
Objectives:
PowerShell Overview
Getting started running commands
Security cmdlets
Using and updating the built-in help
Execution policies
Fun tricks with the ISE graphical editor
Piping .NET and COM objects, not text
Using properties and methods of objects
Helping Linux admins feel more at home
Aliases, cmdlets, functions, modules, etc.
PowerShell Utilities and Tips
Customizing your profile script
PowerShell remote command execution
Security setting across the network
File copy via PowerShell remoting
Capturing the output of commands
Parsing text files and logs with regex patterns
Parsing Security Logs
Searching remote event logs
Mounting the registry as a drive
Security settings in the Registry
Exporting data to CSV, HTML and JSON files
Running scripts as scheduled jobs
Continued Security Compliance
Pushing out scripts through Group Policy
Importing modules and dot-sourcing functions
http://www.PowerShellGallery.com
PowerShell Scripting
PowerShell Scripting to implement Security Practices
Writing your own functions to automate security status and settings
Passing arguments into your scripts
Function parameters and returning output
Flow control: if-then, foreach, that make security decisions
How to pipe data in/out of your scripts for security compliance and reporting
Attendees to this seminar, Windows Security Automation and Threat Hunting with PowerShell, will receive TechNow approved course materials and expert instruction.[/wr_text][/wr_column][/wr_row]
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.
