AI Training for employees

Jun 4, 2025

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Module 1

Lesson 1: Understanding AI Fundamentals 6 Topics | 3 Quizzes

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Part 1: What is AI?

Part 2: Key Concepts – AI, ML, and Generative AI

Part 3: Types of AI You Might Encounter

Types of AI You Might Encounter

Part 4: Benefits and Risks of AI in the Workplace

Lesson 2: AI in Your Daily Work 6 Topics | 5 Quizzes

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Part 1: Your Responsibility – Human Oversight Is Key

Part 2: Verification and Critical Thinking

Part 3: Data Privacy and Confidentiality

Part 4: Recognizing and Addressing Bias

Part 5: Providing Feedback

Part 6: Examples of AI Tools in the Workplace

MODULE 2

Lesson 1: Overview of the US AI Compliance Landscape 4 Topics | 4 Quizzes

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1. The Evolving Regulatory Environment for AI

2. Key Federal Agencies Overseeing AI Compliance

3. State-Level AI Regulations and Their Impact

4. Industry-Specific Standards and Best Practices

Lesson 2: Managing AI Risks with the NIST AI Risk Management Framework 4 Topics | 4 Quizzes

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Introduction: A Framework for Trustworthy and Responsible AI

The 4 Core Functions of the NIST AI RMF: Govern, Map, Measure, Manage

Employee Responsibilities Under the Framework

Conclusion: Building a Culture of Trust

Lesson 3: HIPAA and AI – Safeguarding Health Data in a Digital Age 5 Topics | 3 Quizzes

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1. What is Protected Health Information (PHI) in the AI Era?

2. When Is It Okay to Use PHI with AI? (Permissible Uses)

3. The Minimum Necessary Standard – Right Size Your Data

4. Best Practices for Using AI with PHI in Corporate Settings

Conclusion: Privacy is the Foundation of Innovation

Lesson 4: PCI DSS and AI Title: Securing Payment Data in the AI Era 5 Topics | 3 Quizzes

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1. Understanding Payment Card Data in AI Systems

2. Common AI Applications Handling Payment Data

3. PCI DSS Scope for AI Systems

4. Safe Handling of Payment Data with AI

Conclusion: Ensuring Trust in AI-Powered Payment Systems

Lesson 5: Navigating Additional AI Compliance Frameworks 5 Topics | 2 Quizzes

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1. Industry-Specific AI Regulations in the U.S.

2. Global AI Regulations Impacting U.S. Companies

3. Emerging Technical Standards & Global Trends

4. Cross-Framework Compliance: A Complex Puzzle

Conclusion: Embracing an Adaptive, Responsible AI Strategy

Module 3

Lesson 1: Common AI Security Risks 6 Topics | 3 Quizzes

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1. Data Breaches in AI Systems

2. Prompt Injection & Large Language Model (LLM) Vulnerabilities

3. Adversarial Attacks and Model Manipulation

4. AI-Enhanced Social Engineering

5. Recognizing Suspicious AI Behavior

Lesson Summary & Key Takeaways

Lesson 2: Privacy Concerns with AI 3 Topics | 1 Quiz

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1. How AI Can Compromise Privacy

2. Handling Personal and Sensitive Information

3. Data Minimization in AI Use

Lesson 3: Ethical Considerations in AI 1 Quiz

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Module 3 Quiz Lesson 3

Module 4

Lesson 1: What You CAN Do with AI 1 Quiz

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Module 4 Quiz Lesson 1

Lesson 2: What You CANNOT Do with AI 1 Quiz

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Lesson 3: What You SHOULD Do with AI 1 Quiz

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Lesson 4: What You Should NEVER Do with AI 1 Quiz

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Module 4 Quiz Lesson 4

Module 5

Lesson 1: Recognizing AI Incidents 1 Quiz

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Module 5 Quiz Lesson 1

Lesson 2: Reporting AI-Related Concerns and Incidents 1 Quiz

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Module 5 Quiz Lesson 2

Lesson 3: Remediation Steps for AI Incidents 1 Quiz

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Module 5 Quiz Lesson 3

Module 6

Lesson 1: Healthcare AI Compliance 1 Quiz

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Module 6 Quiz Lesson 1

Lesson 2: Financial Services AI Compliance 1 Quiz

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Lesson 3: AI Compliance in Retail and E-commerce 1 Quiz

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Module 6 Quiz Lesson 3

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