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)

 

 

Course Overview:

This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.

Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • The Current State of the Telecom Industry
  • Telecom Service Providers
  • Digitalizing Voice
  • Communication Mediums and Multiplexing
  • Carrier Access: Customer-to-Carrier Connections
  • Broadband Access
  • Enterprise Networks
  • Carrier Transport Services
  • Data Communications and Packet-Switched Networks
  • Migrating Voice from Circuit-to-Packet-Switched Networks
  • Carrier Data Services
  • Ethernet Services
  • Remote Access Virtual Private Networks (VPNs)
  • Video Technology and Services
  • Current Mobile Wireless Services
  • Fixed Mobile Convergence (FMC)
  • Worldwide Interoperability for Microwave Access (WiMax)
  • Multimedia Subsystem (IMS)

Prerequisites:

  • None

 

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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.

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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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Course Overview:

Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to AZ-204:Developing Solutions for Microsoft Azure will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Creating Azure App Service Web Apps
  • Implement Azure functions
  • Develop solutions that use blob storage
  • Develop solutions that use Cosmos DB storage
  • Implement laaS solutions
  • Implement user authentication and authorization
  • Implement secure cloud solutions
  • Implement API Management
  • Develop App Service Logic Apps
  • Develop event-based solutions
  • Develop message-based solutions
  • Monitor and optimize Azure solutions
  • Integrate caching and content delivery within solutions

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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Course Overview:

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 3 days

Course Outline:

  • Data Platform Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Data Platform Security Design Considerations
  • Designing for Resiliency and Scale
  • Design for Efficiency and Operations

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals
      • DP-200: Implementing an Azure Data Solution

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