PECB Artificial Intelligence Trainings

Learn about all the PECB AI trainings Nis Institute has to offer. And choose the training that fits your needs.
Overview

Build the AI Expertise Your Organization Needs

Artificial intelligence is transforming how organizations work, make decisions, manage risk, and create value.

But successful AI adoption requires more than technical knowledge alone. Organizations need professionals who can understand AI technologies, lead AI initiatives, manage AI-related risks, and establish effective governance.

NIS Institute offers internationally recognized PECB training and certification programs covering the technical, managerial, risk, and governance capabilities organizations need to use AI responsibly and effectively.

Our AI training portfolio includes technical and non-technical certification paths, allowing you to choose the training that best matches your role, responsibilities, and professional objectives.

Four AI Training Paths

Whether you want to build AI solutions, lead AI initiatives, manage AI risks, or establish AI governance, our training portfolio covers several complementary areas of expertise.

  • Build & Implement AI: PECB Certified Artificial Intelligence Professional (CAIP)
  • Lead & Manage AI: PECB Certified Artificial Intelligence Manager (CAIM)
  • Identify & Manage AI Risk: PECB Certified Lead AI Risk Manager
  • Govern AI: PECB ISO/IEC 42001 Artificial Intelligence Management System

AI trainings

 


PECB Certified Artificial Intelligence Professional (CAIP)

Build & Implement AI

Choose CAIP if you want a broad and practical understanding of artificial intelligence technologies and how AI solutions are developed and implemented.

The program covers AI foundations and data analysis before progressing into areas such as machine learning, deep learning, natural language processing, computer vision, and other AI technologies.

At the same time, it addresses responsible AI, including governance, ethics, compliance, and risk management.

Best suited for

  • AI professionals and practitioners
  • Data scientists and technical professionals
  • IT professionals working with AI
  • AI consultants
  • Professionals implementing AI solutions
  • Managers seeking a deeper technical understanding of AI

Your focus:
Understand it. Build it. Implement it.

Choose CAIP when your question is:

How does AI work, and how can we develop and implement AI solutions responsibly?


PECB Certified Artificial Intelligence Manager (CAIM)

Lead & Manage AI

Choose CAIM if your responsibility is not primarily to build AI models, but to decide where, why, and how your organization should use AI.

CAIM focuses on turning AI opportunities into governed, measurable, and business-aligned initiatives.

It connects AI strategy with practical implementation, covering areas such as use-case identification, governance, risk, data-driven decision-making, automation, and measuring business value.

It is particularly relevant for professionals who need to bridge the gap between management, business teams, technical specialists, and risk and compliance functions.

Best suited for

  • Managers and business leaders
  • AI project and program managers
  • CIOs, CTOs, and digital leaders
  • Innovation and transformation managers
  • Consultants
  • Professionals responsible for organizational AI adoption

Your focus:
Lead it. Manage it. Create value from it.

Choose CAIM when your question is:

How do we turn AI into measurable business value and successfully manage AI initiatives?


PECB Certified Lead AI Risk Manager

Identify & Manage AI Risk

Choose Lead AI Risk Manager if your responsibility is to understand what can go wrong with AI and how your organization can identify, assess, treat, and monitor those risks.

AI introduces risks that require specialized knowledge, including:

  • Algorithmic bias
  • Security vulnerabilities
  • Privacy and data protection concerns
  • Lack of transparency
  • Model reliability
  • Ethical concerns
  • Regulatory compliance

The Lead AI Risk Manager training provides a structured approach to managing these risks throughout the AI lifecycle.

It draws on recognized approaches, including the NIST AI Risk Management Framework and the EU AI Act, and translates them into practical AI risk management activities.

Participants learn how to identify and analyze AI risks, evaluate potential impacts, select appropriate treatments, establish mitigation measures, monitor risks, and continually improve the organization’s approach to AI risk.

Best suited for

  • Risk managers
  • AI governance professionals
  • Information security professionals
  • Compliance professionals
  • Data scientists and AI developers
  • Legal and regulatory professionals
  • AI consultants
  • Managers responsible for responsible AI adoption

Your focus:
Identify it. Assess it. Control it.

Choose Lead AI Risk Manager when your question is:

What are the risks of using AI, and how do we identify, assess, and manage them effectively?


PECB ISO/IEC 42001 Artificial Intelligence Management System Lead Manager

Govern AI

Choose the ISO/IEC 42001 pathway if your focus is establishing a structured framework for the responsible governance and management of AI within an organization.

ISO/IEC 42001 is an international management system standard specifically designed for artificial intelligence.

It provides organizations with a structured approach for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).

NIS Institute offers different ISO/IEC 42001 training paths depending on your responsibilities and level of experience:

  • ISO/IEC 42001 Foundation
  • ISO/IEC 42001 Lead Implementer
  • ISO/IEC 42001 Lead Auditor

Best suited for

  • AI governance professionals
  • Compliance and risk professionals
  • Management system professionals
  • AI managers
  • Consultants
  • Internal and external auditors
  • Professionals responsible for implementing AI governance frameworks

Your focus:
Govern it. Structure it. Demonstrate it.

Choose ISO/IEC 42001 when your question is:

How do we establish and demonstrate a structured, responsible organizational approach to AI?

 

Make your choice

Training Calendar