Certified Responsible AI Ethics Officer (CRAIEO) Deep Dive

Module 1 – AI Foundations & Core Concepts
- Lesson 1 – CRAIEO Course Welcome
- Lesson 2 – Why Take This Course
- Lesson 3 – Exam Objectives
- Lesson 4 – Course Materials
- Lesson 5 – Module One Introduction
- Lesson 6 – Section 1.1 Core Concepts
- Lesson 7 – Discussion: AI Ethics
- Lesson 8 – AI/ML Fundamentals
- Lesson 9 – ML Types
- Lesson 10 – Deep Learning
- Lesson 11 – Comparing ML and AI
- Lesson 12 – Generative AI vs. Predictive AI
- Lesson 13 – Natural Language Processing (NLP)
- Lesson 14 – Algorithms
- Lesson 15 – Large Language Models (LLM)
- Lesson 16 – Whiteboard: How AI Works
- Lesson 17 – Four Pillars of AI
- Lesson 18 – Data Sources
- Lesson 19 – Use Case: Finance
- Lesson 20 – Use Case: Logistics
- Lesson 21 – Whiteboard: AI in Resumes
- Lesson 22 – Section 1.2 Prompt Engineering
- Lesson 23 – Prompt Engineering Basics
- Lesson 24 – Context Engineering
- Lesson 25 – Comparing Context Engineering
- Lesson 26 – Demonstration: ChatGPT
- Lesson 27 – Whiteboard: Retrieval-Augmented Generation (RAG)
- Lesson 28 – RAG Ethics
- Lesson 29 – Module One Review
- Lesson 30 – Module One Questions

Module 2 – AI Ethics Frameworks & Governance
- Lesson 31 – Module Two Overview
- Lesson 32 – Section 2.1 AI Ethics Core
- Lesson 33 – AI Ethics Overview
- Lesson 34 – AI Ethical Principles
- Lesson 35 – Responsible AI Governance
- Lesson 36 – The Seven Cs of AI Ethics
- Lesson 37 – Transparency in AI
- Lesson 38 – AI Frameworks
- Lesson 39 – Use Case: Microsoft Tay
- Lesson 40 – AI Bias
- Lesson 41 – Section 2.2 Ethics Challenges
- Lesson 42 – Moral Implications of AI
- Lesson 43 – AI and Job Displacement
- Lesson 44 – Principles of Ethical Development
- Lesson 45 – Principles of Ethical Deployment
- Lesson 46 – Ethics Challenges
- Lesson 47 – Section 2.3 Roles & Responsibilities
- Lesson 48 – Roles and Responsibilities in AI Ethics
- Lesson 49 – Creating AI Policy
- Lesson 50 – Whiteboard: Responsible AI
- Lesson 51 – The Changing AI Landscape
- Lesson 52 – Establishing an Ethics Board
- Lesson 53 – Module 2 Review Summary
- Lesson 54 – Module 2 Review Questions

Module 3 – Data Governance, Privacy & Risk Management
- Lesson 55 – Module Three Overview
- Lesson 56 – Section 3.1 Core Foundations
- Lesson 57 – Data Governance
- Lesson 58 – Data Privacy
- Lesson 59 – Data Privacy Compliance
- Lesson 60 – Data Mapping
- Lesson 61 – Data Collection
- Lesson 62 – Privacy Impact Assessment (PIA)
- Lesson 63 – Whiteboard: Meta & GDPR
- Lesson 64 – Section 3.2 AI Risk Management Frameworks
- Lesson 65 – RMF Overview
- Lesson 66 – NIST AI RMF Guidance
- Lesson 67 – Whiteboard: NIST RMF
- Lesson 68 – FedRAMP AI Guidance
- Lesson 69 – AI Lifecycle
- Lesson 70 – SDLC Lifecycle vs. AI Lifecycle
- Lesson 71 – Section 3.3 Ethical Use & Guardrails
- Lesson 72 – Applying AI Rules
- Lesson 73 – Creating AI Rules
- Lesson 74 – Enforcing AI Rules
- Lesson 75 – Enforcing AI Guardrails
- Lesson 76 – Use Case: Facial Recognition
- Lesson 77 – Whiteboard: AWS AI
- Lesson 78 – Module Three Review
- Lesson 79 – Module Three Review Questions

Module 4 – Explainable AI & Legal Responsibility
- Lesson 80 – Module Four Overview
- Lesson 81 – Section 4.1 Explainable AI Overview
- Lesson 82 – What is Explainable AI
- Lesson 83 – Applying Explainable AI
- Lesson 84 – Demo: Explainable AI on AWS
- Lesson 85 – XAI Frameworks
- Lesson 86 – Whitebox vs. Blackbox Models
- Lesson 87 – Section 4.2 Legal & Professional Responsibility
- Lesson 88 – AI Center of Excellence (COE)
- Lesson 89 – Professional Responsibility in AI
- Lesson 90 – Code of Conduct
- Lesson 91 – Cloud Shared Responsibility Model
- Lesson 92 – Module Four Review
- Lesson 93 – Module Four Review Questions

Module 5 – Regulations, Guidelines & Course Wrap-up
- Lesson 94 – Module Five Overview
- Lesson 95 – Section 5.1 Global AI Regulations
- Lesson 96 – NIST AI Framework Deep Dive
- Lesson 97 – ISO/IEC AI Framework
- Lesson 98 – GDPR Overview for AI
- Lesson 99 – EU AI Act Overview
- Lesson 100 – Section 5.2 Guidelines & Principles
- Lesson 101 – OECD AI Principles
- Lesson 102 – UNESCO AI Principles
- Lesson 103 – EU AI Guidelines
- Lesson 104 – Module Five Review
- Lesson 105 – Module Five Review Questions
- Lesson 106 – Next Steps
- Lesson 107 – Course Closeout