ISO 42001 AI Management System Corporate Training
Instructor-led ISO 42001 AI management system training for governance, risk, and compliance teams.
This program helps your team build, operate, and certify an AI management system aligned to ISO/IEC 42001:2023. Employees learn to define the scope, run AI risk and impact assessments, implement Annex A controls, and prepare evidence for internal audits and certification. Delivered live with hands-on labs, the training develops the governance skills your organization needs to deploy AI responsibly at scale.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build an ISO 42001-ready team
The Edstellar AI GOVERNANCE Capability Model
Diagnose
We assess your current AI governance posture against ISO 42001 clauses and Annex A controls.
Standardize
We map your AI policies, roles, and documentation to the standard's requirements.
Practice with Labs
Your teams run risk assessments and control labs on realistic AI use cases.
Measure
We track control maturity and audit readiness with clear, repeatable metrics.
Scale
Governance practices roll out across business units and your full AI portfolio.
Need more than one program?Get a group quote
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Program Overview: What is ISO 42001 AI Management System Corporate Training?
ISO 42001 AI Management System is for AI governance leads, risk officers, and technology managers building responsible AI programs. It covers AI governance foundations and ISO 42001, plus context, leadership, and planning for an AIMS. Participants work through AI risk and impact assessments, Annex A controls, and AI lifecycle, data, and third-party controls.
The course runs as AIMS build labs where participants scope the management system, run AI risk and impact assessments, and map Annex A controls with instructor coaching. Governance practitioners review each assessment for depth and for honest treatment of high-risk use cases, with feedback on every control decision. Lifecycle and third-party scenarios cover data and vendor risk. It closes with a capstone where teams produce an ISO 42001 implementation roadmap for their organization.
Organizations deploying AI without governance face regulatory action, biased outcomes, and incidents they cannot explain to boards or regulators. Ad hoc AI ethics statements do not survive scrutiny. This program teaches teams to build a real AI management system: risk-assessed, controlled, and auditable under ISO 42001.
The capstone roadmap is an implementation plan the team can actually execute: scoped AIMS, prioritized risk and impact assessments, control implementation sequence, and a monitoring and review cadence, all tied to ISO 42001 clauses. Teams present the roadmap as they would to executive leadership seeking approval. It converts AI governance from aspiration into a scheduled program of work.
Across seven modules, employees work from foundations to certification readiness. They define the scope of an AI management system, run AI risk and impact assessments, map and implement Annex A controls across the AI lifecycle, and design audit programs and management reviews. The program closes with a capstone lab where each cohort builds a phased ISO 42001 implementation roadmap for a realistic enterprise AI portfolio, ready to take back to day-to-day work.
What's Included in this Workshop for Your Enterprise Teams
- 1
AI governance foundations
Clauses, Annex A, and how an AI management system fits your organization.
- 2
Risk and impact labs
Assess AI risks and impacts on realistic use cases.
- 3
Control implementation
Map Annex A controls to risks and lifecycle stages.
- 4
Audit and review
Plan internal audits and management reviews.
- 5
Capstone roadmap
Build a phased ISO 42001 implementation plan.
- Instructor-led sessions, live virtual or onsite
- Hybrid scheduling across your time zones
- Course materials and lab workbooks
- AI risk register and control templates
- Assessment and completion summary
- Post-training support for rollout questions
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
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ISO 42001 AI Management System Course Topics and Program Outline
Seven modules take your team from AI governance foundations to a certification-ready implementation roadmap, with hands-on labs at every stage.
Built by Edstellar with AI governance practitioners
Built by practitioners who run AI management systems and support ISO audits in production, shaped around your stack and use cases.
We benchmark your team's AI governance maturity against ISO 42001 clauses and Annex A controls before training begins.
Instructors teach the standard's structure, clauses, and control domains with real enterprise AI governance examples.
Your team runs hands-on labs: risk registers, impact assessments, control mapping, and audit planning on realistic AI cases.
The capstone applies everything to your AI portfolio as a phased, audit-ready ISO 42001 implementation roadmap.
From foundations to a certification-ready roadmap in 28 hours.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches. Cohorts work on their own AI use cases so the roadmap they build is ready to execute.
Map a sample enterprise AI portfolio to ISO 42001 clauses in a guided walkthrough.
learna)The AI governance landscape and regulatory drivers
b)ISO/IEC 42001:2023 structure, clauses, and Annex A
c)Plan-Do-Check-Act and the management system approach
d)AIMS scope and integration with ISO 27001
Draft an AI policy statement and scope document for a sample organization.
learna)Clause 4: organizational context and interested parties
b)Clause 5: leadership, AI policy, and roles
c)Clause 6: planning, risk criteria, and AI objectives
d)Documented information and change planning
Build an AI risk register and impact assessment for a realistic AI use case.
practicea)AI risk identification methods and sources
b)Analyzing consequences, likelihood, and risk levels
c)Impact assessment: fairness, safety, and privacy
d)Risk treatment options and documentation
Map Annex A controls to the risks identified in the previous lab.
practicea)Annex A control domains and their intent
b)Mapping controls to assessed AI risks
c)Accountability, transparency, and human oversight
d)Control implementation and evidence collection
Design lifecycle and data controls for a multi-vendor AI deployment.
practicea)Lifecycle controls: design to decommissioning
b)Data quality, lineage, and stewardship for AI
c)Third-party, supplier, and customer AI relationships
d)AI incident response and continual monitoring
Draft an internal audit plan and management review agenda.
applya)AIMS metrics, monitoring, and measurement
b)Planning and conducting internal AIMS audits
c)Management review inputs and outputs
d)Nonconformity, corrective action, and improvement
Capstone lab: build and present a phased ISO 42001 implementation roadmap.
applya)Roadmap scoping and prioritization
b)Control implementation sequencing
c)Audit program and certification timeline
d)Presenting the roadmap for stakeholder review
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Practical, audit-ready capabilities your team takes back to work: from interpreting the standard to running an AI management system that passes scrutiny.
Interpret the ISO 42001 Framework
Explain the standard's clauses and Annex A control domains and how they fit enterprise AI governance.
Scope an AI Management System
Define AIMS boundaries, interested parties, and context aligned to clauses 4 through 6.
Assess AI Risks
Identify, analyze, and document AI risks with structured methods and risk treatment plans.
Run AI Impact Assessments
Evaluate AI impacts on fairness, safety, and privacy and record defensible results.
Implement Annex A Controls
Map, implement, and evidence controls across the AI lifecycle, data, and third parties.
Plan AIMS Audits and Reviews
Design internal audit programs and management reviews that drive continual improvement.
Build an Implementation Roadmap
Sequence scope, controls, and audits into a phased, certification-ready ISO 42001 plan.
Teams that Benefit from this ISO 42001 AI Management System Group Training
Built for the functions that own AI governance: risk, compliance, legal, and audit teams, plus the product and data groups building AI. Content adapts to each cohort's role and experience, so every group practices the workflows it owns, from policy drafting to audit evidence.
Stand up an accountable AI management system
Governance teams get the clause-by-clause structure and templates to establish an AIMS, assign ownership, and track control implementation across the AI portfolio.
Workflow friction
- AI initiatives running without clear ownership
- Inconsistent risk practices across business units
- Regulatory pressure with no audit-ready evidence
How the program helps
- Clear AIMS scope and policy templates to reuse
- Risk and impact assessment methods that scale
- Control evidence organized for certification
Practice use cases
- Risk registers
- Policy drafting
- Control mapping
- Roadmap planning
Prove AI controls to regulators and auditors
Risk and compliance professionals learn to assess AI risks, implement Annex A controls, and produce the documented evidence regulators and certification bodies expect.
Workflow friction
- AI risk language that auditors cannot follow
- Scattered controls with no central evidence
- New AI rules outpacing current practices
How the program helps
- Structured AI risk assessment and treatment
- Control mapping aligned to regulatory expectations
- Audit-ready documentation and metrics
Practice use cases
- Risk treatment plans
- Control evidence packs
- Regulatory mapping
- Audit preparation
Align AI practice with legal and privacy duties
Legal and privacy teams learn how ISO 42001 supports compliance with AI and data protection obligations, from impact assessments to third-party and customer AI relationships.
Workflow friction
- AI deployments outpacing legal review capacity
- Unclear accountability for AI system outcomes
- Vendor AI use with weak contractual controls
How the program helps
- Impact assessments covering privacy and fairness
- Third-party AI contract and oversight guidance
- Documented accountability for AI decisions
Practice use cases
- Impact assessments
- Vendor AI reviews
- Policy alignment
- Incident response
Audit AI systems against a recognized standard
Internal auditors gain a practical method to plan and conduct AIMS audits: audit criteria from clauses and Annex A, evidence sampling, and reporting that drives corrective action.
Workflow friction
- No standard criteria for auditing AI systems
- Technical AI evidence auditors cannot interpret
- Audit findings that never drive real fixes
How the program helps
- Audit criteria drawn from ISO 42001 clauses
- Repeatable AIMS audit plans and checklists
- Findings linked to corrective action tracking
Practice use cases
- Audit planning
- Evidence sampling
- Finding reports
- Follow-up audits
Each session is tailored to your team's AI portfolio, regulatory exposure, and certification goals.
Prerequisites: This program suits governance, risk, compliance, legal, and audit professionals, as well as product and data team members involved in AI oversight. Familiarity with management systems such as ISO 27001 helps but is not required, and no prior AI engineering experience is needed. Every cohort's labs and case work adapt to your tools, AI portfolio, and certification goals.
Governance Analyst to AI Management System Lead
Tracks the journey from understanding the standard to running an audited, continually improving AI management system across the enterprise.
One program that grows with governance careers, from AI policy basics to confident AIMS audit practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your team: live virtual sessions, onsite delivery at your office, or a hybrid mix. Every mode includes the same instructor-led teaching and hands-on labs.
Hybrid Training
Blend live virtual and onsite sessions around your team's schedule. Cohorts stay together through one program while fitting training around delivery commitments.
- Mix of virtual and onsite sessions
- One cohort, one consistent program
- Scheduling built around your calendar
- Same labs and instructor support throughout
Onsite Training
Bring the full program to your office for maximum collaboration. Instructors run every session and lab with your team together in one room.
- Full cohort together at your office
- Labs adapted to your environment
- Direct access to the instructor
- Team workshops on your AI portfolio
Live Virtual Training
Join live instructor-led sessions over video from anywhere. Guided labs and discussions keep distributed teams fully engaged.
- Live sessions over video conferencing
- Guided labs in virtual breakout rooms
- Train across time zones and locations
- Digital materials and lab workbooks
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size and goals through the request form and we will send a tailored quote with scheduling options.
Yes. A short discovery call with a training advisor aligns the program to your AI portfolio and certification aims.
Yes. Live virtual sessions run instructor-led over video with the same labs and engagement as onsite delivery.
Yes. Onsite delivery is available for teams that want the full cohort together, with labs adapted to your environment.
The program runs 28 hours across 7 modules, typically scheduled over several days to fit your team's calendar.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
An ISO 42001 management system comes after AI governance and risk assessment are in place. Your team sets governance, assesses AI risk, then implements ISO 42001 in this course, and finally learns to audit the system.
Why Choose Edstellar as Your ISO 42001 AI Management System Training Provider
Edstellar delivers instructor-led ISO 42001 training that turns the standard into working governance: scoped systems, assessed risks, implemented controls, and audit-ready evidence.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every cohort works on your AI use cases, so risk labs and the capstone roadmap reflect your portfolio and regulators.
Proven Methodology
The program follows the standard's own structure, from clauses to Annex A, so learning maps directly to certification evidence.
Practice-Based Learning
Four guided labs and a capstone build give teams hands-on practice with risk registers, controls, and audit plans.
Expert Trainers
Instructors implement AI management systems in production and bring real audit and certification experience to every session.
Global Scale
Hybrid delivery across time zones trains distributed governance, risk, and audit teams on one consistent program.
Measurable Outcomes
Lab reviews and the capstone roadmap give you visible proof of readiness before internal or certification audits.
Build AI Management Systems Around Risks, Impacts, and Accountable Controls
Edstellar connects ISO 42001 requirements with the governance work surrounding an enterprise AI portfolio. Participants scope an AIMS, assess risks and impacts, and map controls across data, lifecycle, and vendor activities. The implementation roadmap brings these decisions together, reviewed for ownership, control justification, audit planning, and a realistic sequence of improvements.
- Step 01
Consult
We explore AI oversight responsibilities, portfolio visibility, and inconsistencies in risk, impact, or vendor reviews to identify the cohort's management-system design and evidence needs.
- Step 02
Plan
We establish ISO 42001 context and leadership before risk and impact assessments, then connect Annex A controls, lifecycle governance, and management review in the phased roadmap.
- Step 03
Align
We align AI governance expertise with risk, legal, audit, product, and data roles, supporting management-system decisions without assuming participants have AI engineering experience.
- Step 04
Customize
We adapt enterprise AI use cases and multi-vendor scenarios to familiar deployments, retaining data and stakeholder impacts that require explicit control ownership and justification.
- Step 05
Execute
Participants draft AIMS scope and policy, assess AI risks and impacts, and map controls, receiving feedback on assessment depth, lifecycle coverage, and vendor responsibilities.
- Step 06
Evaluate
We assess the roadmap for traceable risk and impact decisions, justified controls, clear accountability, and credible sequencing of implementation, monitoring, internal audit, and management review.
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Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
ISO 42001 AI Management System Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request ISO 42001 AI Management System Training for Your Team
Tell us about your team size, AI portfolio, and certification goals. A training advisor will design your ISO 42001 program and share scheduling options.