Free Download AI Safety for Enterprises Compliance and Risk Management
Published 12/2025
Created by Federico Garay,Milena Garay
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All |
Genre: eLearning |
Language: English |
Duration: 19 Lectures ( 1h 56m ) |
Size: 3.2 GB
Master responsible AI usage with global frameworks (EU AI Act, GDPR), decision protocols, and risk mitigation strategies
What you'll learn
Protect the company from critical risks associated with the use of AI
Comply with the EU AI Act, GDPR, and global regulations applicable to your organization
Classify each AI use case by legal risk level and determine specific documentation and oversight obligations
Prevent sensitive data leaks by applying protocols to identify what information must never be shared with public AI tools
Implement a certified Decision Framework that enables employees to make safe and legally compliant decisions before using any AI system
Detect and mitigate discriminatory bias in HR AI systems and assessments, protecting the company from employment-related lawsuits
Verify AI outputs using three-level validation protocols that prevent decisions based on false information or hallucinations
Establish legally defensible AI policies with a clear implementation plan, defined roles, and documented compliance evidence
Requirements
Currently using or planning to use AI in daily work, at any level
Experience with or exposure to generative AI tools such as ChatGPT, Claude, or Copilot
A desire to protect both the organization and oneself from legal, security, and compliance risks
Motivation to use AI in a responsible, ethical, and legally compliant manner
Description
AI is the best way to accelerate and automate business processes. That's why we use it EVERY SINGLE DAY.But do you know how many things can go terribly wrong?Every time an employee copies information into ChatGPT without thinking, your company is one click away from a data breach, a multimillion-dollar fine, or a discrimination lawsuit.And here's the problem: most teams use AI.. without understanding current regulations. without knowing what data is considered sensitive. without verifying AI-generated information. without clear decision-making protocolsThe good news? Preventing these risks is 100 times cheaper than fixing them after they happen.Why is this course essential for your company?Europe already has mandatory AI regulations in force since 2024. The EU AI Act classifies AI systems by risk level and establishes specific obligations. Non-compliance can result in fines of up to 4% of global annual revenue.The United States is regulating AI state by state. California, New York, and others already have laws governing AI use in hiring, credit evaluation, and data protection.Latin America is following the European model. Brazil leads with Bill PL 2338/2023, while Argentina, Chile, Mexico, and Colombia are developing their own regulations.Your company needs to comply. Now.Not just to avoid fines, but to

rotect your brand reputationPrevent employment lawsuits due to discriminatory biasEnsure customer trustBuild a competitive advantage through strong AI policies What makes this course uniqueThis is NOT a technical course. It is designed specifically for non-technical corporate professionals: HR, Legal, Marketing, Finance, Sales, Managers-anyone using AI at work.This is NOT abstract theory. You get practical protocols you can apply TODAY in your daily work.This is NOT just about regulations. You'll understand the "why" behind every rule, through real-world cases where companies made costly mistakes-and how to avoid them.What you'll learn in this courseMODULE 1: The AI Risk OverviewYou'll identify the 5 critical AI risks that keep Legal and HR departments awake at night:Confidential data leaksIntellectual property violationsBias and discriminationHallucinations and flawed decisionsDependency and loss of controlAnd you'll understand why prevention is 100x cheaper than remediation.MODULE 2: The Global Regulatory FrameworkYou'll master the most important AI regulations worldwide:EU AI Act: The risk-based classification system (prohibited, high, limited, minimal), the specific obligations for each category (the 4 Ps: Prevention, Purpose, People, Proof), and the implementation timelines that are already in effect.GDPR: Article 22 on automated decision-making, how AI intersects with data protection, consent, and the right to be forgotten as applied to AI systems.United States: The fragmented regulatory landscape (federal vs. state), California's CPRA, New York's Local Law 144 on bias in hiring, and federal executive orders.Latin America: Brazil's PL 2338/2023 (the most advanced in the region), Argentina, Chile, Mexico, and Colombia, and the clear trend toward convergence with the European model.The common denominator: The universal principles being adopted globally - transparency, non-discrimination, human oversight, and accountability.MODULE 3: Safe AI Usage ProtocolThis is the practical core of the course. You will gain tools you can apply immediately:The 3-Step Decision Framework: A simple protocol to decide in 30 seconds whether you can use AI for a specific task:What type of information will I use?What type of decision am I making?What is the real level of risk?The Red List: What data must NEVER be shared with public AI tools (personal data, customer data, trade secrets, financial information, employee data), and safe alternatives (proper anonymization, synthetic data, corporate AI tools).Hallucination Detection: The 5 warning signs when AI is making up information, and a three-level verification protocol based on the impact of each decision.Intellectual Property: The current legal debate around ownership of AI-generated content, when it can be used commercially, how to protect your IP, and the policies of different tools (ChatGPT, Claude, Copilot, Midjourney).Bias: How to identify and mitigate bias in critical areas (HR, credit, legal), with practical strategies such as diversifying inputs, testing multiple tools, mandatory human review, and periodic audits.MODULE 4: Practical ImplementationYou will consolidate everything through integrated case studies and a clear action plan:3 Multi-Jurisdictional Case Studies:Marketing agency in Madrid (GDPR and customer data)Fintech in São Paulo (automated decisions and Brazil's LGPD)Tech startup in Miami (intellectual property of AI-generated code)5-Step Implementation Plan:Audit current AI usage within your organizationEstablish internal AI policies (editable template included)Train the teamImplement the Decision FrameworkOngoing monitoring and continuous updatesRoles and Responsibilities: Who does what in each department (CEO, Legal, HR, IT, Managers, Employees).able Resources Included (10 PDFs/Documents):The 5 AI Risks: Self-Assessment ChecklistCompliance Matrix: What Applies to My Organization?Decision Framework Poster (printable)Output Verification Checklist (3 levels)Red List: Data You Must NEVER Share with AIAI Usage Policy Template for Companies (editable Word file)30-Day Implementation PlanRoles and Responsibilities by DepartmentUpdated Resources and Links (document with links to regulations)Your InstructorFederico Garay - Udemy Best-Selling Instructor with a distinctive teaching style: engaging, high-energy, approachable, and empathetic. His "talking head" approach delivers dense content in a clear and accessible way, allowing him to stand out in highly competitive markets.Over 500,000 students worldwide have achieved their goals by building practical skills through his courses.IMPORTANT: Generative AI was used in the development of this course, with human oversight applied at every stage of the process.By the end of this course, you will be able to:✓ Make informed and secure decisions every time you use AI at work✓ Identify which information is sensitive and what can be shared with public AI tools✓ Classify any AI use case according to its legal risk level✓ Comply with the EU AI Act, GDPR, and regulations applicable to your organization✓ Detect when AI is fabricating information and know how to verify it✓ Identify and mitigate discriminatory bias in AI systems✓ Establish legally defensible AI policies within your organization✓ Protect your company from costly fines, lawsuits, and reputational damageWhy do L&D leaders choose this course?"It's the only course that covers ALL global AI regulations in a format accessible to non-technical teams.""After a costly incident, we needed to prove we had trained our team. This course provided the documentation and evidence Legal required.""We made it mandatory company-wide. In just 2 hours, every employee knows exactly what to do - and what to avoid - when using AI. The investment paid for itself within the first week."This course is your insurance policy against AI risksEvery day your team uses AI without this knowledge, you are accumulating risk.Every employee who shares data carelessly is a legal time bomb.Every decision made with AI without human oversight is a potential lawsuit.But that ends hereIn less than 2 hours, you will transform your team into responsible AI users who protect the company while fully leveraging this revolutionary technology.The question is not whether you can afford this course.The question is: can you afford NOT to take it?Enroll now and protect your organization.This course includes:2 hours of video content10 downloadable resources (PDFs, templates, checklists)Certificate of completionStart today. Protect your organization tomorrow.I'll see you in Lesson #1.FEDE
Who this course is for
Corporate professionals who use AI tools in their daily work and need to align with responsible and compliant practices
HR, Legal, and Compliance leaders responsible for ensuring their organization complies with the EU AI Act, GDPR, and global AI regulations
Managers and team leaders who oversee AI usage and need clear protocols to protect their teams from legal and operational risks
Professionals in Marketing, Sales, Finance, or any function that handles customer or employee data and uses AI for analysis, content creation, or decision-making
Employees designated by their companies to obtain certification in responsible AI usage as part of mandatory corporate compliance programs
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