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AI 202: Lessons (All Access)

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Unit 1: Sampling Bias

9 Lessons

Lesson 1: Introduction

Lesson 2: What Are AI Risks?

Lesson 3: Common Risk Types

Lesson 4: Risk Categories - High, Medium, Low

Lesson 5: How to Spot AI Risk Early

Lesson 6: Risk Mitigation Strategies

Lesson 7: Real-World Example

Lesson 8: Your Role in AI Risk Mitigation

Lesson 9: Wrap-up

Unit 2: Data Governance, Fairness & Bias Handling

8 Lessons

Lesson 1: Introduction

Lesson 2: The Foundation: Data Feeds the AI Beast

Lesson 3: Common Sources of Bias in AI

Lesson 4: What Is Fairness in AI?

Lesson 5: What Is Data Governance (and Why It Matters)

Lesson 6: Your Role in Ensuring Fairness

Lesson 7: Real-World Example

Lesson 8: Wrap-Up

Unit 3: Technical Documentation for Compliance

8 Lessons

Lesson 1: Introduction

Lesson 2: Why Technical Docs Matter

Lesson 3: What Is Technical Documentation in AI?

Lesson 4: Documentation Isn’t Just for Engineers

Lesson 5: What Makes Good Documentation?

Lesson 6: Your Role in Documentation

Lesson 7: Real-World Example

Lesson 8: Wrap-Up

Unit 4: Navigating Global AI Rules – What Businesses Must Know

9 Lessons

Lesson 1: Introduction

Lesson 2: Why AI Laws Are Emerging Everywhere

Lesson 3: The Four AI Risk Categories (Used by Most Frameworks)

Lesson 4: What Triggers Regulatory Attention?

Lesson 5: If You Use Sensitive AI, You Should…

Lesson 6: Penalties and Public Trust

Lesson 7: How to Get Started (No Lawyers Needed)

Lesson 8: Quick Reflection

Lesson 9: Wrap-Up

Unit 5: Post-Market Monitoring Plans – Keeping AI on Track After Deployment

11 Lessons

Lesson 1: Introduction

Lesson 2: What Is Post-Market Monitoring?

Lesson 3: Why It Matters?

Lesson 4: What Needs to Be Monitored?

Lesson 5: Who Owns Monitoring?

Lesson 6: How Often Should You Review AI Tools?

Lesson 7: Tools That Support Monitoring

Lesson 8: Documentation Tips for Monitoring

Lesson 9: Real-World Example

Lesson 10: Your Role in Monitoring

Lesson 11: Wrap-Up

Unit 6: Incident Reporting – Know What to Flag and How

9 Lessons

Lesson 1: Introduction

Lesson 2: What Is an AI Incident?

Lesson 3: Why Incident Reporting Matters

Lesson 4: When Should You Report or Escalate?

Lesson 5: What Goes Into an Incident Report?

Lesson 6: Who Should Be Involved?

Lesson 7: Real-World Example

Lesson 8: Your Role in Incident Reporting

Lesson 9: Wrap-Up

Unit 7: Managing Vendor Risk – Compliance When You Don’t Own the Tool

9 Lessons

Lesson 1: Introduction

Lesson 2: Why Vendor Risk Matters

Lesson 3: Common Vendor Risks to Watch For

Lesson 4: Key Questions to Ask Before Buying or Using AI Tools

Lesson 5: Smart AI Clauses for Contracts

Lesson 6: How to Review Vendor Documentation

Lesson 7: Real-World Example

Lesson 8: Your Role in Managing Vendor Risk

Lesson 9: Wrap-Up

Unit 8: Navigating the Conformity Assessment – Your AI Compliance Walkthrough

9 Lessons

Lesson 1: Introduction

Lesson 2: What Is a Conformity Assessment?

Lesson 3: When Do You Need One?

Lesson 4: What Does the Process Include?

Lesson 5: Self-Assessment vs. Third-Party Assessment

Lesson 6: How to Prepare Your Team

Lesson 7: Real-World Example

Lesson 8: Your Role in the Assessment Process

Lesson 9: Wrap-Up

Unit 9: AI System Design for Trust, Safety & Accountability

7 Lessons

Lesson 1: Introduction

Lesson 2: Why Design Choices Matter

Lesson 3: 5 Key Design Principles for Responsible AI

Lesson 4: Quick AI Design Checklist

Lesson 5: Real-World Example

Lesson 6: Your Role in Designing for Trust

Lesson 7: Wrap-Up

Unit 10: Bias Detection, Testing & Mitigation for Devs

9 Lessons

Lesson 1: Introduction

Lesson 2: Bias Is a Bug — Catch It Like One

Lesson 3: Where Bias Creeps Into the Pipeline

Lesson 4: How to Test for Bias (Like a Pro)

Lesson 5: Bias Mitigation: From Theory to Implementation

Lesson 6: How to Integrate Bias Checks into Your Dev Workflow

Lesson 7: Real-World Example: Bias in Lending AI

Lesson 8: Quick Reflection

Lesson 9: Wrap-Up - Measure What Matters

Unit 11: Secure AI Deployment & Model Robustness

10 Lessons

Lesson 1: Introduction

Lesson 2: Why Robustness and Security Matter

Lesson 3: Common Threats to AI Systems

Lesson 4: Security Best Practices for Deployment

Lesson 5: Testing for Robustness: Can Your AI Take a Punch?

Lesson 6: Adversarial Defence Tactics

Lesson 7: Deployment Tips for Traceability and Recovery

Lesson 8: Real-World Example

Lesson 9: Quick Reflection

Lesson 10: Wrap-Up - Compliance Isn’t Just Accuracy — It’s Resilience

Unit 12: Lifecycle Management & Change Tracking for AI Systems

9 Lessons

Lesson 1: Introduction

Lesson 2: Why AI Lifecycle Tracking Matters

Lesson 3: What’s in an AI Lifecycle?

Lesson 4: How to Track Changes Like a Pro

Lesson 5: When Do You Need to Re-Evaluate?

Lesson 6: Tech Stack Tips for Traceability

Lesson 7: Real-World Example

Lesson 8: Quick Reflection

Lesson 9: Wrap-Up - Track It, Tag It, Trust It

Unit 13: Developer Guide to Conformity Documentation

9 Lessons

Lesson 1: Introduction

Lesson 2: What Is Conformity Documentation?

Lesson 3: What Needs to Be Documented?

Lesson 4: What Devs Need to Provide

Lesson 5: Tools That Make It Easier

Lesson 6: Working with Compliance & Legal Teams

Lesson 7: Real-World Example

Lesson 8: Quick Reflection

Lesson 9: Wrap-Up - Document What Matters

Unit 14: Developer Role in Human Oversight

8 Lessons

Lesson 1: Introduction

Lesson 2: Why Human Oversight Matters

Lesson 3: The Three Types of Human Oversight

Lesson 4: How to Build Oversight Into the System

Lesson 5: What Oversight Documentation Looks Like

Lesson 6: Real-World Example

Lesson 7: Quick Reflection

Lesson 8: Wrap-Up - Humans Keep AI Safe

Test Your Knowledge

1 Lesson

AI 202: Final Test

AI 202: Lessons (All Access)

Complete & Continue Next Lesson Learn More

Unit 10: Bias Detection, Testing & Mitigation for Devs

Lesson 3: Where Bias Creeps Into the Pipeline

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Bias shows up in every part of the ML lifecycle: