Korea AI Framework Act Readiness Corporate Training
Learn Korea's AI Framework Act and build audit-ready AI governance controls, in live guided labs.
Edstellar, a corporate training company, delivers corporate training that helps your team learn Korea's AI Framework Act and build practical AI governance controls. Employees develop high-impact AI classification discipline, transparency workflows, and incident response readiness through guided labs led by practitioners. Each session is tuned to your AI portfolio, tools, and workflows.
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 a Korea AI Framework Act-ready team
EDSTELLAR AI GOVERNANCE CAPABILITY MODEL
Diagnose AI Act exposure
Skill checks map your team's Act knowledge, AI inventory awareness, and audit readiness gaps.
Set shared standards
One shared playbook for high-impact AI classification, transparency duties, and incident response.
Practice in guided labs
Labs cover impact assessments, labeling workflows, and tabletop incident response drills.
Measure the lift
Lab reviews benchmark each employee's AI governance compliance capability.
Scale across teams
One standard rolls out across departments, AI systems, and offices.
Need more than one program?Get a group quote
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Program Overview: What is Korea AI Framework Act Readiness Corporate Training?
Korea AI Framework Act Readiness is Edstellar's instructor-led program for legal, AI governance, and product teams deploying AI in Korea. Participants work through the AI Framework Act's structure, high-impact AI classification and duties, generative AI transparency requirements, risk assessment, logging, and human oversight. The program suits organizations that must show regulators their AI is controlled.
Sessions blend briefings with guided labs that mirror governance work. Participants inventory AI systems, classify high-impact designations, draft transparency disclosures, build logging and monitoring workflows, and run an incident response simulation. Instructors coach your team through the evidence regulators expect, reviewing each exercise with direct feedback. The program closes with a capstone enterprise readiness assessment.
AI regulation punishes the unprepared: unclear system inventories, missing impact assessments, and transparency duties nobody owns. This program teaches your teams to build the governance machinery the Act demands before enforcement lands. The payoff is AI deployment that survives regulatory scrutiny.
The capstone is a readiness assessment across the team's AI portfolio: system inventory, high-impact classifications, transparency gaps, and control maturity scored against the Act. Your team returns with a remediation roadmap their board can act on.
Seven modules and 28 hours: Act foundations, high-impact AI duties, transparency, risk assessment, human oversight, governance, and a capstone readiness assessment. Every module pairs concepts with a guided lab, so each control is practiced.
Delivery is hybrid across virtual and onsite sessions, scheduled around your calendar. Cohorts train as one group or split into batches. It closes with a capstone review the team plans, executes, and presents.
What's Included in this Workshop for Your Enterprise Teams
- 1
Act foundations
Scope, definitions, and the Act's regulatory architecture.
- 2
High-impact AI labs
Designation criteria and operator obligations in practice.
- 3
Transparency workflows
Labeling duties and disclosure workflows for generative AI.
- 4
Risk and incident drills
Impact assessments, logging, and incident response simulations.
- 5
Capstone assessment
A full readiness assessment the team plans and presents.
- Instructor-led delivery across virtual, onsite, and hybrid
- Guided labs in every module with instructor coaching
- Capstone readiness assessment, reviewed with your team
- Flexible scheduling around your calendar
- Lab guides, templates, and checklists included
- Group size and batches set along with you
Build your team's skills. Anywhere in the world.
Real-world use cases
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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.
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- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
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Korea AI Framework Act Readiness Course Topics and Program Outline
A tailored 28-hour, seven-module workshop: one learning journey from Act foundations to a capstone readiness assessment. Sessions pair concepts with guided labs, so every control is practiced before it is assessed.
Built by Edstellar with AI governance practitioners
Built by practitioners who implement AI governance and regulatory readiness in production, shaped around your stack and use cases.
Skill checks map your team's AI governance baseline, Act knowledge, and audit readiness before training begins.
Live instruction covers the Act's structure, high-impact AI designation, and operator duties across 6 focused hours.
Guided labs build impact assessments, transparency workflows, and oversight controls across 12 hours of supervised practice.
Your team drafts governance evidence packs and completes a 10-hour readiness assessment and remediation capstone.
From Act foundations to a readiness assessment, every control is practiced in guided labs.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches.
Classify sample organizations and AI deployments against the Act's scope rules, then identify each party's role in a guided walkthrough.
learna)The AI Framework Act: structure, purpose, and regulatory intent
b)Key definitions: AI systems, developers, deployers, and users
c)AI ethics principles and the national AI promotion framework
d)Scope: which organizations and AI systems the Act covers
e)Oversight bodies: ministries, commissions, and enforcement roles
Classify five sample AI deployments as high-impact or standard, then map each operator duty to an owner in a guided lab.
learna)High-impact AI designation criteria and sector coverage
b)Operator obligations: what high-impact AI deployers must do
c)Pre-deployment impact assessment requirements
d)Human oversight and explainability expectations
e)Notifying affected individuals of AI-driven decisions
Build a labeling and disclosure checklist for a sample generative AI use case, then review it against transparency audit criteria.
practicea)Transparency obligations for generative AI providers
b)Labeling and watermarking AI-generated content
c)Disclosing AI interaction to users
d)Drafting disclosure notices and approval workflows
e)Common gaps found in transparency audits
Run a mock impact assessment on a sample AI system, then draft the risk log and remediation notes an auditor would expect.
practicea)Risk management expectations for high-impact AI
b)Logging, record-keeping, and documentation discipline
c)Impact assessment facilitation step by step
d)Incident identification and internal reporting workflows
e)Corrective action and remediation planning
Join a tabletop incident response drill: detect a mock AI incident, escalate through defined roles, and draft the incident record.
practicea)Human-in-the-loop and human-on-the-loop control patterns
b)Pre-deployment testing and ongoing monitoring
c)Incident response: timelines, roles, and communication
d)Tabletop drill: responding to a high-impact AI incident
Assemble an evidence pack template for one high-impact AI system, mapping each obligation to a document, owner, and review cadence.
applya)Building an AI governance operating model: roles and committees
b)Aligning the Act with existing risk and compliance frameworks
c)Evidence packs: what auditors and regulators expect to see
d)Tracking regulatory updates and maintaining compliance
Plan, execute, and present a full Act readiness assessment for a sample enterprise, then defend the remediation roadmap in review.
applya)Inventorying and classifying the enterprise AI portfolio
b)Gap analysis against Act obligations
c)Prioritized remediation roadmap with owners and timelines
d)Stakeholder readout: presenting readiness findings
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
Seven job-ready outcomes your team will demonstrate by the end of the program. Each competency is practiced in guided labs and proven in the capstone assessment.
Classify high-impact AI systems
Apply the Act's designation criteria to real AI deployments and document the classification rationale.
Run AI impact assessments
Facilitate pre-deployment impact assessments for high-impact AI, producing risk logs auditors can trace.
Build transparency workflows
Design labeling and disclosure workflows for generative AI that satisfy the Act's transparency duties.
Design human oversight controls
Specify human-in-the-loop and human-on-the-loop controls, testing plans, and monitoring routines for production AI.
Operate incident response
Run incident identification, internal reporting, and remediation workflows for AI system failures.
Assemble audit evidence packs
Compile obligation-to-evidence packs with owners and review cadences that satisfy regulators and auditors.
Assess Act readiness
Inventory the AI portfolio, run the gap analysis, and present a prioritized remediation roadmap.
Teams that Benefit from this Korea AI Framework Act Readiness Group Training
This group training is built for legal, risk, compliance, and audit groups preparing for Korea's AI Framework Act. Content adapts to each cohort's roles, AI portfolio, and experience, so every batch practices the workflows it owns, from classification to incident response.
Turn the Act's obligations into defensible legal positions
Legal teams map operator duties to internal policies, draft disclosure language, and prepare evidence that stands up to regulatory scrutiny.
Workflow friction
- Ambiguous high-impact AI classification calls
- Disclosure wording that invites regulatory risk
- Evidence scattered across teams and systems
How the program helps
- Classify AI systems against designation criteria confidently
- Draft disclosure notices that satisfy transparency duties
- Prepare obligation-to-evidence packs for regulators
Practice use cases
- classification workshops
- disclosure drafting labs
- evidence pack reviews
Embed AI risk into your enterprise risk framework
Risk teams build impact assessment discipline, risk logs, and monitoring routines that fit existing enterprise risk management.
Workflow friction
- Inconsistent AI risk assessment practices
- Risk registers missing AI system entries
- No monitoring routine for deployed models
How the program helps
- Run consistent pre-deployment impact assessments
- Maintain traceable AI risk logs and registers
- Align AI controls with enterprise risk taxonomy
Practice use cases
- impact assessment drills
- risk register builds
- monitoring routine labs
Run transparency and incident workflows every day
Compliance teams operationalize labeling duties, disclosure workflows, and incident reporting so daily operations stay within the Act.
Workflow friction
- Generative AI outputs going out unlabeled
- Incident reports filed late or incomplete
- Obligation owners unclear across teams
How the program helps
- Operate labeling and disclosure workflows daily
- Track obligation owners and review cadences
- Keep documentation audit-ready at all times
Practice use cases
- labeling workflow labs
- disclosure approval drills
- incident reporting simulations
Test AI controls the way auditors will
Audit teams learn what evidence the Act demands, how to test AI controls, and how to report control gaps with remediation owners.
Workflow friction
- AI controls outside the audit universe
- Evidence packs that do not trace to duties
- Findings without clear remediation owners
How the program helps
- Test high-impact AI controls against obligations
- Evaluate evidence packs for completeness
- Report gaps with remediation owners assigned
Practice use cases
- control testing labs
- evidence completeness reviews
- gap reporting workshops
Cohorts train as a cross-functional workforce, with each small group aligned on shared AI governance standards.
Prerequisites: This program benefits legal, risk, compliance, and audit professionals responsible for AI governance. Familiarity with enterprise risk or compliance concepts helps, but no prior AI expertise is required. Content adapts to each cohort's AI portfolio, tools, and regulatory context, so every team practices at the right depth.
Risk Analyst to AI Governance Lead
The program moves with your team's roles, from foundational Act knowledge through applied impact assessment, transparency, and oversight workflows to the capstone readiness assessment that proves Very Advanced capability.
A program that grows with GRC careers, from first AI inventory to confident audit-ready governance 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 hybrid, onsite, or live virtual delivery for this instructor-led program. Every format includes guided labs, the same materials, and instructor feedback, scheduled around your team's calendar.
Hybrid Training
Hybrid delivery blends instructor-led sessions with guided online labs, so co-located and remote team members learn together. Every module pairs briefings with hands-on practice and live instructor coaching.
- Instructor-led sessions blend in-room and remote learners in one cohort
- Guided labs run the same way for every participant, wherever they join
- Live instructor coaching in every module
- Flexible batches scheduled around your team's calendar
Onsite Training
Our trainers deliver at your office, aligning labs and scenario examples with your AI portfolio. Live coaching keeps practice focused and feedback immediate across all seven modules.
- Trainers deliver at your office in Korea and worldwide
- Labs and examples shaped around your AI portfolio
- Live coaching with immediate feedback across all seven modules
- Team-based exercises that fit your office environment
Live Virtual Training
Live virtual sessions over Zoom or Microsoft Teams bring the full program to your team wherever they work. The same guided labs, materials, and instructor support apply, with breakout rooms for small-group practice.
- Live virtual sessions over Zoom or Microsoft Teams
- Same guided labs, materials, and instructor support as other formats
- Breakout rooms for small-group practice and feedback
- Your team joins from wherever they work, in flexible batches
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, preferred schedule, and focus areas, and we send a tailored proposal with pricing. A short discovery call can sharpen the scope before you commit.
Yes. A short discovery call aligns the program to your AI portfolio, regulatory exposure, and team roles, and shapes a tailored training plan and quote.
Yes. Live virtual sessions run over Zoom or Microsoft Teams with the same guided labs, materials, and instructor coaching as other formats.
Yes. Our trainers deliver onsite in Korea and worldwide, shaping labs and examples around your AI systems and workflows.
The program runs 28 hours across seven modules, typically delivered in flexible batches scheduled around 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.
Readiness for Korea's AI Framework Act builds on governance and a view of global AI rules. Your team sets governance, maps rules across major markets, prepares for the Korean law in this course, and finally builds an ISO 42001 management system.
Why Choose Edstellar as Your Korea AI Framework Act Readiness Corporate Training Provider
When comparing providers, Edstellar is the training partner teams choose for AI governance expertise and 5+ years of corporate training experience. Our methodology blends concise instruction with guided lab practice, so your team leaves ready to classify, document, and defend its AI controls.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
We shape the content around your training needs: your AI portfolio, systems, and risk profile drive every lab scenario.
Proven Methodology
A practiced method moves teams from Act concepts to working controls: brief, practice in guided labs, review, and apply.
Practice-Based Learning
Every module pairs instruction with a guided lab, so classification, labeling, and incident drills are rehearsed, not just read.
Expert Trainers
Sessions are led by AI governance practitioners with real regulatory readiness experience, matched to your team and schedule.
Global Scale
We deliver across regions and time zones, keeping one consistent standard for every cohort in your rollout.
Measurable Outcomes
Lab reviews and the capstone assessment give you clear evidence of each employee's readiness against Act obligations.
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→Managed training services
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→Coaching solutions
Executive and manager coaching that keeps skills in use.
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?
Korea AI Framework Act Readiness 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 Korea AI Framework Act Readiness Training for Your Team
Share your team size, AI portfolio, regulatory exposure, and timelines to receive a tailored training plan and quote. Book a discovery call to discuss your goals; we confirm availability and respond with a proposal.