AIMS* Practitioner + [Implementer]

*AIMS-Artificial intelligence Management System, Mastering ISO 42001 for Responsible AI Management.

Overview

In today’s competitive landscape, technology continually evolves to meet diverse organizational and individual needs. Automated machine functions play a crucial role in addressing the rising demands efficiently, highlighting the growing significance of artificial intelligence (AI). With vast datasets and predictive analytics becoming commonplace, AI techniques see increased utilization.

This flexible, structured learning path enables professionals to understand, implement, and operationalize an AI Management System (AIMS) in line with ISO 42001. The AIMS Practitioner (2 Days) provides a solid foundation in AI governance, risk management, and compliance, equipping participants with essential knowledge of ISO 42001, AI system impact assessment, and performance monitoring. Those looking to take the next step can continue with the AIMS Implementer (+2 Days), which focuses on hands-on implementation, AI governance policy development, compliance checks, and audit readiness. Whether participants choose to complete only the Practitioner level or advance to Implementer, the program is designed to adapt to different professional needs and organizational goals

Key Highlights

  • 16 hour +[16 hour] Virtual Live Training by ISO Certified Trainer
  • Learn AI Governance and ISO 42001 Compliance with key principles, risks, and integration
  • Monitor & Improve AI Performance with impact assessment, tracking, and optimization
  • Assess the organization’s current state against ISO/IEC 42001 to establish a baseline
  • Hands-on exercises with scenario-based assessments
  • Demo-based lectures with real-world examples and case studies
  • Final Assessment to evaluate knowledge and application
  • Interactive Discussions to explore real-world AI challenges and best practices

Training Options

Virtual Instructor-Led
Training

  • Self-Paced Learning
  • Live, online classroom training by top instructors and practitioners
  • Lifetime access to high-quality self-paced elearning content curated by industry experts
  • 24×7 learner assistance and support

 

CORPORATE
TRAINING

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise-grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24×7 learner assistance and support

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Pre-requisites

Pre-requisites for AIMS* Practitioner + [Implementer]

  • AIMS Practitioner: No prerequisites.
  • AIMS Implementer: Completion of the AIMS Practitioner course is required.

 

We highly recommend the following to get the best out of this hybrid training:

 

  • Laptop with Microphone & Camera in working condition
  • Good Internet for Virtual Session(s)
  • Access to Google Forms/  MS Forms for assessments & Practice Exams

Curriculum

Course Curriculum

AIMS Practitioner (2 Days)

Develop a foundational understanding of AI Management Systems (AIMS), including key concepts, principles, and compliance requirements.

  • Introduction to AI Governance & AIMS Framework
  • ISO 22989: AI Concepts, Terminology & Lifecycle 
  • ISO 42001 Structure & Core Components – Clause-by-clause overview and integration with ISO 31000, 27001, and 9001.
  • Leadership, AI Policy & Risk-Based Thinking – AI governance policy (Clause 5.2) and risk-based thinking (Clause 6.1).
  • AI System Documentation & Compliance (Clause 7.5) 
  • AI Risk Management & Annex A Controls – Overview of AI risk assessment, treatment, and Annex A controls.
  • AI System Impact Assessment (Clause 6.1.4) – Overview of AI System Impact Assessment.
  • AI Performance Monitoring & Continuous Improvement (Clause 9 & 10) – Overview of AI KPIs and monitoring strategies.
  • Handling Nonconformities & Corrective Actions – Overview of requirements.
  • Final Assessment
AIMS Implementer (+ 2 Days)

Focuses on applying and integrating AIMS frameworks, ensuring effective implementation, risk management, and continuous improvement within an organization.

  • ISO 42001 Structure & Core Components – Demo on framework alignment.
  • Leadership, AI Policy & RiskBased Thinking – Case study on AI governance failures.
  • AI Risk Management & Annex A Controls – Practical exercises on AI risk assessment and mitigation based on Annex A controls.
  • AI System Impact Assessment (Clause 6.1.4) – LIVE demo of AI system impact assessment and structured analysis exercises.
  • AI Performance Monitoring & Continuous Improvement (Clause 9 & 10) – Real-time AI performance tracking with demo on impact assessment.
  • Developing AI Governance Policies & Control Frameworks
  • AI Audit Readiness & Compliance Checks 
  • Final Assessment
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Inquiry For:

Who should Attend?

AIMS Practitioner (2 Days)

  • AI & Data Governance Teams
  • Risk & Compliance Officers
  • IT & Security Managers
  • Quality & Process Managers
  • Legal & Regulatory Professionals 

AIMS Implementer (+ 2 Days)

  • AI & ML Engineers
  • Digital Transformation Leaders
  • Compliance & Audit Teams
  • Enterprise Architects
  • AI Governance Heads
  • Chief Data Officers (CDOs)

Reviews

SAP IM/WM LEAD

Unilab

Great presentation and interactive tutorial especially with having quizzes

Anti-Spam Research Engineer, Machine Learning

TrendMicro

I would like to commend the Trainer for the intuitive lectures. He did not run out of examples for us to better understand the topics.

Technology Consulting Associate

PwC

Very nice learning experience. Lots a of real world examples and the trainer made it easy to understand the topics.

SAP IM/WM LEAD

Unilab

Great presentation and interactive tutorial especially with having quizzes

Anti-Spam Research Engineer, Machine Learning

TrendMicro

I would like to commend the Trainer for the intuitive lectures. He did not run out of examples for us to better understand the topics.

Technology Consulting Associate

PwC

Very nice learning experience. Lots a of real world examples and the trainer made it easy to understand the topics.

SAP IM/WM LEAD

Unilab

Great presentation and interactive tutorial especially with having quizzes

FAQs

FAQs

General Audience:

  • Professionals involved in AI governance, risk management, compliance, and implementation. 
  • Those planning to lead and implement AI systems or new to managing them. 
  • Consultants and professionals working with AI. 
  • Advisors guiding top management on ISO/IEC 42001 adoption. 

AIMS Practitioner:

  • AI & Data Governance Teams 
  • Risk & Compliance Officers 
  • IT & Security Managers 
  • Quality & Process Managers 
  • Legal & Regulatory Professionals 

AIMS Implementer:

  • Compliance & Audit Teams 
  • Chief Data Officers (CDOs) 
  • Enterprise Architects 
  • AI Governance Heads 
  • Digital Transformation Leaders 
  • AI & ML Engineers

 

  • Are there any prerequisites to enroll in the course?
  • AIMS Practitioner: No prerequisites.
  • AIMS Implementer: Completion of the AIMS Practitioner course is required.

 

  • What will I learn?
    By the end of this program, you will be able to:
  • AI Governance and ISO 42001 Compliance with key principles, risks, and integration.
  • AI Risk and Compliance with assessment, Annex A controls, and documentation.
  • Monitor & Improve AI Performance with impact assessment, tracking, and optimization
  • Interpret ISO/IEC 42001 requirements for implementation within their organization*
  • Assess the organization’s current state against ISO/IEC 42001 to establish a baseline*
  • Implement corrective actions to drive continuous AI system improvement*

*For AIMS Implementer attendees

#answer

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