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Lesson 13 · Video

Module 2: Data Stewardship & Ethics

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Lessons

Lesson 1

AI Fundamentals Course Intro

Lesson 1

AI Fundamentals Course Textbook Sample

Lesson 2

Module 1 AI Concepts & Capabilities

Lesson 3

What is AI?

Lesson 4

Training vs Inference

Lesson 5

Learning Paradigms

Lesson 6

Neural Networks at a Glance

Lesson 7

LLM & Embedding

Lesson 8

Model Evaluation Metrics

Lesson 9

Common AI Applications & Limitations

Lesson 10

AI Fundamentals Module 1 Quiz

Lesson 13

Module 2: Data Stewardship & Ethics

Lesson 14

Data Lifecycle: Collection To Deletion

Lesson 15

Sources of Bias & Fairness Basics

Lesson 16

Detecting & Mitigating Bias

Lesson 17

Privacy Basics, PII, Anonymization, DPIA

Lesson 18

Intro to Differential Privacy & Synthetic Data

Lesson 19

Data Governance & Lineage

Lesson 19

AI Fundamentals Module 2 Quiz

Lesson 20

Module 3: AI Lifecycle & Platforms

Lesson 21

AI Lifecycle Overview

Lesson 22

Model Registries & Artifact Management

Lesson 22

AI Supply Chain Threats

Lesson 23

Deployment Patterns

Lesson 24

APIs and Inference Gateways

Lesson 25

Cloud AI Platforms

Lesson 26

Monitoring & Observability

Lesson 27

Documentation Model Cards & Factsheets

Lesson 27

AI Fundamentals Module 3 Quiz

Lesson 28

Module 4: AI Risk & Security Fundamentals

Lesson 29

AI Threats Overview

Lesson 30

Adversarial Examples

Lesson 31

Data Poisoning & Integrity Attacks

Lesson 32

Model Privacy Risks (Membership Inference)

Lesson 33

Secrets, API Keys & Credential Hygiene

Lesson 34

Operational Security Controls

Lesson 35

Monitoring for Security Incidents

Lesson 35

AI Fundamentals Module 4 Quiz

Lesson 36

Module 5: Governance & Professional Practices

Lesson 37

Governance Roles & Accountability

Lesson 38

NIST AI RMF & Framework Mapping

Lesson 39

EU AI Act & Global Regulation Trends

Lesson 40

Model Documentation & Audit Evidence

Lesson 41

Ethics & Responsible AI

Lesson 41

AI Fundamentals Module 5 Quiz

Lesson 42

AI Fundamentals Final Exam

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