ISO/IEC 42001:2023 Artificial Intelligence Management Lead Implementer Training

About Course

40-hour implementation course with 40 full text lessons, five formative checks, four assessed practical assignments including individual observed leadership, and a 40-question final exam. Includes a connected fictional case, editable learner templates and private assessor guidance.

Course Content

Project initiation
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

The lead implementer role
Requirements and a controlled implementation basis
Project governance and decision authority
Planning workload and learning from the case

Context scope and baseline
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Implementation planning
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

AI roles scope and intended use and ai policy and governance
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

AI risk assessment and treatment and ai system impact assessment
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Data governance and provenance and development testing and acceptance
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Human oversight and user information and suppliers and external ai services
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Operation monitoring and incidents and change improvement and accountable handover
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Evaluation and improvement
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Rollout leadership and handover
Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

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About Course

What Will You Learn?

Course Content

Project initiation Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

The lead implementer role

Requirements and a controlled implementation basis

Project governance and decision authority

Planning workload and learning from the case

Context scope and baseline Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Context and interested party requirements

Scope and connected processes

Gap assessment using evidence

Obligations and professional judgement

Implementation planning Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Risks opportunities and treatment decisions

Objectives and meaningful measures

Resources competence and communication

Documented information and usable records

Implementation charter and gap assessment

AI roles scope and intended use and ai policy and governance Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

AI roles scope and intended use

Design and test ai roles scope and intended use

AI policy and governance

Design and test ai policy and governance

Knowledge check 1

AI risk assessment and treatment and ai system impact assessment Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

AI risk assessment and treatment

Design and test ai risk assessment and treatment

AI system impact assessment

Design and test ai system impact assessment

Knowledge check 2

Data governance and provenance and development testing and acceptance Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Data governance and provenance

Design and test data governance and provenance

Development testing and acceptance

Design and test development testing and acceptance

Knowledge check 3

Human oversight and user information and suppliers and external ai services Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Human oversight and user information

Design and test human oversight and user information

Suppliers and external AI services

Design and test suppliers and external ai services

Knowledge check 4

Operation monitoring and incidents and change improvement and accountable handover Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Operation monitoring and incidents

Design and test operation monitoring and incidents

Change improvement and accountable handover

Design and test change improvement and accountable handover

Knowledge check 5

Operating controls and implementation documents

Evaluation and improvement Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Performance evaluation and reliable reporting

Internal audit and independent evaluation

Management review and accountable decisions

Correction causes and effectiveness

Rollout leadership and handover Apply the learning to Nexa AI Services and prepare evidence for the implementation portfolio.

Resourced rollout and dependency planning

Leading implementation workshops

Readiness and controlled handover

Sustaining and improving the system

Observed implementation leadership workshop

Rollout readiness and sustained operation

ISO/IEC 42001:2023 Lead Implementer final examination

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