Master Executive AI Fluency

Stop being sidelined by technical jargon. Gain the fluency to challenge vendors, lead IT teams, and defend your strategy to the board.

Audit & Prioritize Your Portfolio

Develop a clear, prioritized AI roadmap for your organization, including where to start, what to pause, and how to align with your broader business strategy.

Hands-On AI Blueprint & Pilot

Monetize the opportunity. The Applied AI Sprint transforms intent into a board-ready, risk-vetted pitch. With 10 hours of Executive Stress-Testing, we pressure-test every assumption to ensure your proposal survives the toughest financial scrutiny.

THE STRATEGIC ROADMAP: FROM MANDATE TO EXECUTION

The program is divided into two distinct intensives: building the framework and executing the blueprint. PHASE 1: THE STRATEGIC FOUNDATION (MODULES 1-4) Master the literacy, financial modeling, and governance required to lead. - Focus: Digital Intelligence, ROI/TCO Analysis, and the Fiduciary Shield (ISO 42001 & NIST Frameworks). - Outcome: A "Why Now" mandate and a rigorous risk/opportunity audit of your organization. PHASE 2: THE APPLIED AI SPRINT (THE CAPSTONE) The 4-week intensive where strategy becomes a fundable asset. - Focus: Converting intent into a board-ready, risk-vetted investment pitch. - Support: 10 hours of 1-on-1 Executive Stress-Testing to refine your logic, polish your deck, and anticipate "skeptical board" pushback. - Outcome: Your final, consolidated AI Investment & Adoption Blueprint.

Meet Your AI Expert

Hello, I’m Adrian González Sánchez, Global AI Architect at Microsoft and university lecturer in AI and Responsible AI. With a background in engineering, an MBA, and over a decade leading AI projects and governance initiatives, I understand the real-world challenges of AI adoption. My goal is to help decision-makers like you turn AI into practical, low-risk strategies with measurable impact.

The Curriculum

The program is structured into four core modules plus an Applied AI Sprint. You’ll move from AI foundations and strategy into infrastructure and governance, then apply everything to your own AI blueprint. Each chapter includes short videos, practical examples, and worksheets that help you connect the concepts directly to your organization.

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40 Chapters · 203 Lessons

    1. Welcome to AI for Decision-Makers: Course Introduction Free preview
    2. Program Architecture and Strategic Flow Free preview
    3. The "Stress-Test" Engine: Quizzes as Strategic Simulators Free preview
    4. The Rules of Engagement Free preview
    5. (Included in full purchase)

      Download: Your Strategic Foundations Workbook (Module 1)

    1. Defining Artificial Intelligence: Core Concepts Free preview
    2. Digital Intelligence: The IVADO Perspective, Enabling Technologies, and Value Creation Free preview
    3. The Strategic Imperative: Understanding the Cost of AI Inaction (CoI) Free preview
    4. M1.C2.L3.Q1 - Digital Intelligence: The IVADO Perspective Free preview
    5. M1.C2.L4.Q2 - The Strategic Imperative: Understanding the Cost of AI Inaction (CoI) Free preview

    1. (Included in full purchase)

      Early Concepts and the Birth of AI (Pre-1950s to 1950s)

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      Early Enthusiasm, Limitations, and the First AI Winter (1950s-1970s & up to 1980)

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      Resurgence, Expert Systems, and the Second AI Winter (The 1980s)

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      AI Spring and Real-World Applications (1990s-2006)

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      The Deep Learning Revolution and Transformers (2006-Modern 10s)

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      The Current Boom – Generative AI and Beyond (Modern 20s)

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      M1.C3.L6.Q1 - A Brief History of AI: Early Enthusiasm

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      M1.C3.L9.Q2 - A Brief History of AI: The Deep Learning Revolution

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      Deep Dive: Introduction to Generative AI, SLMs, Agentic Patterns, and Multimodal AI

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      Generative AI vs. Traditional AI: Key Differentiators

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      How Generative AI Works: Pre/Post Training and Embeddings

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      Customizing Generative AI: Prompt Engineering, RAG, and Fine-Tuning

    5. AI Task Anatomy: The Economics of Prediction and the AI Canvas Free preview
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      M1.C4.L12.Q1 - Generative AI vs. Traditional AI: Key Differentiators

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      M1.C4.L14.Q2 - Customizing Generative AI: Prompt Engineering, RAG...

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      Understanding Agentic AI: Technical Patterns

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      The Strategic Business Implications of Agentic AI

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      Generative AI: Evolving Applications, Interfaces, and Current Limitations

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      M1.C5.L15.Q1 - Understanding Agentic AI: Technical Patterns

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      M1.C5.L16.Q2 - The Strategic Business Implications of Agentic AI

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      Core AI Capabilities for Business

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      Levels of Intelligence: Narrow, General, and Super Intelligence (NAI, AGI, ASI)

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      AI Action Types: From Descriptive to Autonomous Action

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      Fundamental Types of Machine Learning

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      M1.C6.L19.Q1 - Levels of Intelligence: Narrow, General, and Super...

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      M1.C6.L21.Q2 - Fundamental Types of Machine Learning

    1. Illustrative AI Use Cases for Advanced Manufacturing Free preview
    2. M1.C7.L22.Q1 - Illustrative AI Use Cases for Advanced Manufacturing Free preview
    3. M1.C7.L22.Q2 - Illustrative AI Use Cases for Advanced Manufacturing Free preview

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      AI Tooling Selection Criteria: Key Factors for Evaluation

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      Guiding Questions for Decision-Makers

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      M1.C8.L23.Q1 - AI Tooling Selection Criteria: Key Factors (1)

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      M1.C8.L23.Q2 - AI Tooling Selection Criteria: Key Factors (2)

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      Company Context

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      Current Needs and Challenges

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      Ideation and Vendor Proposals

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      Final Task and Deliverables

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      Assignment: Strategic Foundations Workbook

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      Unleashing AI Creativity: Introduction and Importance

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      Design Thinking for AI: A Program Framework (What is?, What if?, What wows/works?)

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      AI Creativity: Stages and Techniques

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      M2.C1.L2.Q1 - Design Thinking for AI: A Program Framework...

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      M2.C1.L3.Q2 - AI Creativity: Stages and Techniques

    6. (Included in full purchase)

      Download: Your Strategy & Planning Workbook (Module 2)

    1. Developing the AI Vision: Levels of AI Management (Strategic, Tactical, Technical) Free preview
    2. Introduction to Corporate AI Strategy: The Five Pillars Free preview
    3. Corporate AI Strategy: Pillar 1 - Business Strategy and Cost of Inaction (CoI) Free preview
    4. Corporate AI Strategy: Pillar 2 - Technology Strategy (Platforms, Pipelines, Integration) Free preview
    5. Corporate AI Strategy: Pillar 3 - Overall AI Maturity (Models, Experimentation, Alignment, Feasibility) Free preview
    6. Leveraging AI Maturity Models for Assessment and Roadmapping Free preview
    7. M2.C2.L4.Q1 - Developing the AI Vision: Levels of AI Management Free preview
    8. M2.C2.L6.Q2 - Corporate AI Strategy: Pillar 1 Free preview

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      Corporate AI Strategy: Pillar 4 - Organization and Culture (Skills, Innovation, Teams)

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      Integrating AI-Specific Change Management

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      Corporate AI Strategy: Pillar 5 - Internal Governance (Regulations, Ethics Committees, Policies)

    4. (Included in full purchase)

      Building Your AI Strategy: Interconnections and Key Action Streams

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      Introduction to End-to-End AI Management Systems: ISO 42001

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      M2.C3.L10.Q1 - Corporate AI Strategy: Pillar 4

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      M2.C3.L12.Q2 - Corporate AI Strategy: Pillar 5

    1. Quantifying AI Impact: Defining General Success KPIs - Business Impact Free preview
    2. Quantifying AI Impact: Defining General Success KPIs - User Engagement Free preview
    3. Calculating AI ROI: Formula and Illustrative Chatbot Example Free preview
    4. Calculating AI ROI: Other Key Financial Metrics (NPV, IRR, TCO) Free preview
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      M2.C4.L15.Q1 - Quantifying AI Impact: Defining General Success KPIs...

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      M2.C4.L18.Q2 - Calculating AI ROI: Other Key Financial Metrics

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      Improving AI Performance: The AI Lifecycle Stages

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      Improving AI Performance: Related Methodologies (DevOps, MLOps, LLMOps)

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      Improving AI Performance: Key Model Performance Metrics

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      Improving AI Performance: Key System Performance Metrics

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      M2.C5.L19.Q1 - Improving AI Performance: The AI Lifecycle Stages

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      M2.C5.L20.Q2 - Improving AI Performance: Related Methodologies

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      Planning AI Projects: Introduction to Tactical Management

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      Planning AI Projects: Managing Scope, Time, and Cost with Agile

    3. (Included in full purchase)

      Planning AI Projects: Balancing Innovation and Experimentation

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      Planning AI Projects: Creating AI Roadmaps (Steps, Milestones, Success Metrics)

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      M2.C6.L24.Q1 - Planning AI Projects: Managing Scope, Time, and Cost

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      M2.C6.L25.Q2 - Planning AI Projects: Balancing Innovation and Experimentation

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      Module 2 Exercise: Overview and Objectives

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      Assessment: Your Strategy & Planning Workbook

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      Introduction to AI Platforms and Providers

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      Types of AI Providers: Hyperscalers, Model Providers, and Other AI Companies

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      M3.C1.L2.Q1 - Types of AI Providers: Hyperscalers

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      M3.C1.L2.Q2 - Types of AI Providers: Hyperscalers

    5. (Included in full purchase)

      Download: Infrastructure & Implementation Workbook (Module 3)

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      AI Solution Types: SaaS AI Tools

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      AI Solution Types: No-Code / Low-Code AI Tools and AI Democratization

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      AI Solution Types: AI Code Development Tools ("Vibe Coding")

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      M3.C2.L3.Q1 - AI Solution Types: SaaS AI Tools

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      M3.C2.L5.Q2 - AI Solution Types: AI Code Development Tools ("Vibe Coding")

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      AI Solution Types: General Cloud AI Platforms (PaaS)

    2. (Included in full purchase)

      AI Solution Types: Vertical Industry and Niche AI Tools

    3. (Included in full purchase)

      AI Solution Types: Baseline Compute Platforms (IaaS)

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      AI Solution Types: Code-Based Tools - AI Libraries

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      AI Solution Types: Code-Based Tools - LLM Frameworks

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      M3.C3.L7.Q1 - AI Solution Types: General Cloud AI Platforms (PaaS)

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      M3.C3.L11.Q2 - AI Solution Types: Code-Based Tools - Emerging LLM Protocols (MCP, A2A)

    1. (Included in full purchase)

      The Role of Edge AI in Manufacturing: Definition and Importance

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      Advantages of Edge AI: Real-Time Decision-Making and Predictive Maintenance

    3. (Included in full purchase)

      Advantages of Edge AI: Quality Control, Production Optimization, and Bandwidth Reduction

    4. (Included in full purchase)

      Advantages of Edge AI: Security, Supply Chain Visibility, and Cost Efficiency

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      Real-World Applications of Edge AI in Manufacturing

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      M3.C4.L13.Q1 - Advantages of Edge AI: Real-Time Decision-Making...

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      M3.C4.L14.Q2 - Advantages of Edge AI: Quality Control

    1. (Included in full purchase)

      AI Adoption Considerations: Cloud vs. On-Premise Solutions

    2. (Included in full purchase)

      AI Adoption Considerations: Technology Choice vs. AI Ambition (Practical Guidance)

    3. (Included in full purchase)

      AI Adoption Considerations: Organizational Preferences (Strategic, Political, Partnerships)

    4. (Included in full purchase)

      AI Adoption Considerations: Data Governance and Compliance Fundamentals

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      M3.C5.L17.Q1 - AI Adoption Considerations: Cloud vs. On-Premise Solutions

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      M3.C5.L18.Q2 - AI Adoption Considerations: Technology Choice vs. AI Ambition

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      Data Governance: Compliance with Global and Industry-Specific Standards

    2. (Included in full purchase)

      Data Governance: Data Management, Governance Structures, and Lifecycle in AI

    3. (Included in full purchase)

      Data Governance: Ownership, Stewardship, and Quality Control

    4. (Included in full purchase)

      Deepening Data Strategy for AI: Synthetic Data Generation (SDG)

    5. (Included in full purchase)

      Deepening Data Strategy for AI: Federated Learning (FL)

    6. (Included in full purchase)

      M3.C6.L24.Q1 - Deepening Data Strategy for AI: Synthetic Data Generation (SDG)

    7. (Included in full purchase)

      M3.C6.L25.Q2 - Deepening Data Strategy for AI: Federated Learning (FL)

    1. (Included in full purchase)

      Data Security in Industrial Environments and AI Model Security: Overview

    2. (Included in full purchase)

      Data Security: General Cybersecurity in Industrial Settings

    3. (Included in full purchase)

      AI Model Security: Unique Threats and Frameworks (NIST AI RMF, OWASP)

    4. (Included in full purchase)

      Data Security: Encryption, Access Control, and Auditing Strategies

    5. (Included in full purchase)

      M3.C7.L28.Q1 - AI Model Security: Unique Threats

    6. (Included in full purchase)

      M3.C7.L28.Q2 - AI Model Security: Unique Threats

    1. (Included in full purchase)

      Deploying AI Systems at Scale: Overview

    2. (Included in full purchase)

      Deploying AI at Scale: Infrastructure Requirements

    3. (Included in full purchase)

      Deploying AI at Scale: Resource Planning (Compute, Storage, Networking)

    4. (Included in full purchase)

      Deploying AI at Scale: Integration of APIs, Middleware, and Data Pipelines

    5. (Included in full purchase)

      Deploying AI at Scale: Planning Scalable and Sustainable Infrastructure

    6. (Included in full purchase)

      M3.C8.L30.Q1 - Deploying AI Systems at Scale: Overview

    7. (Included in full purchase)

      M3.C8.L32.Q2 - Deploying AI at Scale: Resource Planning

    1. (Included in full purchase)

      Deploying AI at Scale: Monitoring and Maintaining AI Infrastructure

    2. (Included in full purchase)

      Deploying AI at Scale: Integration with IoT, ERP, and CRM Systems

    3. (Included in full purchase)

      Deploying AI at Scale: Data Synchronization and Latency Considerations

    4. (Included in full purchase)

      M3.C9.L34.Q1 - Deploying AI at Scale: Integration of APIs

    5. (Included in full purchase)

      M3.C9.L35.Q2 - Deploying AI at Scale: Monitoring and Maintaining

    1. (Included in full purchase)

      Operational Considerations: Inventorying AI Infrastructure and Tools (Template)

    2. (Included in full purchase)

      Operational Considerations: The Pre-Mortem Exercise for Risk Mitigation (Template & AI-Specific Threats)

    3. (Included in full purchase)

      Operational Considerations: Estimating for Scalability (Template and Example)

    1. (Included in full purchase)

      Assessment: Your Infrastructure & Implementation Workbook

    1. (Included in full purchase)

      Understanding AI Ethics: Definition and Contextual Influences

    2. (Included in full purchase)

      The AI Governance Spectrum: Ethical, Responsible, Accountable, and Trustworthy AI

    3. (Included in full purchase)

      Foundational Frameworks for AI Ethics: Asilomar and Principled AI

    4. (Included in full purchase)

      M4.C1.L1.Q1 - Understanding AI Ethics: Definition and Contextual

    5. (Included in full purchase)

      M4.C1.L2.Q2 - The AI Governance Spectrum: Ethical

    6. (Included in full purchase)

      Download: Ethics & Governance Workbook (Module 4)

    1. The Montreal Declaration for Responsible AI: Introduction and Core Aim Free preview
    2. (Included in full purchase)

      The Montreal Declaration Principles: Well-being and Respect for Autonomy

    3. (Included in full purchase)

      The Montreal Declaration Principles: Protection of Privacy, Solidarity, and Democratic Participation

    4. (Included in full purchase)

      The Montreal Declaration Principles: Equity, Inclusion, Prudence, Responsibility, and Sustainable Development

    5. (Included in full purchase)

      M4.C2.L5.Q1 - The Montreal Declaration Principles: Well-being...

    6. (Included in full purchase)

      M4.C2.L7.Q2 - The Montreal Declaration Principles: Equity...

    1. (Included in full purchase)

      Key Ethical Terms in AI: Transparency, Explainability (XAI) and its Limitations, Interpretability, Bias Reduction, Accountability, Inclusiveness & Fairness

    2. (Included in full purchase)

      Table: Quantifying AI Ethics - Principles, Approaches, Metrics, and Tools (Explanatory Summary)

    3. (Included in full purchase)

      M4.C3.L8.Q1 - Key Ethical Terms in AI: Transparency

    4. (Included in full purchase)

      M4.C3.L8.Q2 - Key Ethical Terms in AI: Transparency

    1. (Included in full purchase)

      The Relationship Between AI Ethics and Regulation: Convergence and Duality

    2. (Included in full purchase)

      Applicable Regulations: Overview of AI-Specific Regulations

    3. (Included in full purchase)

      European Union's AI Act: Risk-Based Approach and Core Obligations

    4. (Included in full purchase)

      China's AI Regulation Framework: Approach and Core Obligations

    5. (Included in full purchase)

      M4.C4.L12.Q1 - European Union's AI Act: Risk-Based

    6. (Included in full purchase)

      M4.C4.L12.Q2 - European Union's AI Act: Risk-Based

    1. (Included in full purchase)

      Data Protection and Privacy Regulations: Core Principles

    2. (Included in full purchase)

      Data Protection Regulations: PIPEDA (Canada) and Quebec's Law 25

    3. (Included in full purchase)

      Data Protection Regulations: GDPR (EU) and CCPA/CPRA (California), including DPIAs/PIAs

    4. (Included in full purchase)

      Vertical Sector-Specific Regulations: Overview and Examples (Healthcare, Finance)

    5. (Included in full purchase)

      Vertical Sector-Specific Regulations: Examples (Transportation, Employment) and Key Implications

    6. (Included in full purchase)

      M4.C5.L15.Q1 - Data Protection Regulations: PIPEDA (Canada) and Quebec's Law 25

    7. (Included in full purchase)

      M4.C5.L18.Q2 - Vertical Sector-Specific Regulations: Examples

    1. (Included in full purchase)

      The Role of AI Standards: Bridging Ethics, Regulation, and Implementation

    2. (Included in full purchase)

      Overview of Key ISO Standards for AI Governance, Risk, and Quality

    3. (Included in full purchase)

      M4.C6.L20.Q1 - Overview of Key ISO Standards for AI Governance

    4. (Included in full purchase)

      M4.C6.L20.Q2 - Overview of Key ISO Standards for AI Governance

    1. (Included in full purchase)

      Data Governance vs. AI Governance: Defining Data Governance and Key Frameworks

    2. (Included in full purchase)

      Data Governance vs. AI Governance: Defining AI Governance and Operationalization

    3. (Included in full purchase)

      Approaches to AI Governance: Top-Down, Bottom-Up, and Integrated Models

    4. (Included in full purchase)

      The Role of the Responsible AI (RAI) Champion

    5. (Included in full purchase)

      M4.C7.L22.Q1 - Data Governance vs. AI Governance

    6. (Included in full purchase)

      M4.C7.L24.Q2 - The Role of the Responsible AI (RAI) Champion

    1. RAI Toolkit: Tools for Data Governance Free preview
    2. (Included in full purchase)

      RAI Toolkit: Tools for AI Governance (Platforms and Risk Management)

    3. (Included in full purchase)

      RAI Toolkit: Technical Tools for Explainability (and its Limitations)

    4. (Included in full purchase)

      M4.C8.L27.Q1 - RAI Toolkit: Technical Tools for Explainability

    5. (Included in full purchase)

      M4.C8.L26.Q2 - RAI Toolkit: Tools for AI Governance

    1. Industry Case Study: AI Governance System at "Telco ABC" Free preview
    2. (Included in full purchase)

      Exercise: Structured Analysis of Ethical AI Cases

    1. (Included in full purchase)

      Assessment: Your Ethics & Governance Workbook

    1. (Included in full purchase)

      Introduction to the Applied AI Handbook

    2. (Included in full purchase)

      Optimizing Expert Companionship

    3. (Included in full purchase)

      Handbook Instructions and Presentation Overview

    4. (Included in full purchase)

      The Applied AI Phase: Objectives and Outcomes

    5. (Included in full purchase)

      Preparing Your Final Presentation

    6. (Included in full purchase)

      Structuring the Final Investment Pitch

    7. (Included in full purchase)

      The Applied AI Handbook (Part 1 of 2)

    8. (Included in full purchase)

      Assessment: Final Presentation Deck (Part 2 of 2)

CASE STUDY SPOTLIGHT: THE POWER TO CHALLENGE

How DEG Engineering used the program to lead digital transformation.

“The handbook was very guiding... Sometimes you finish a training and they say 'go and do a presentation'—that’s difficult. But the handbook helps you go through the project, execute what you learned, and simulate it. I can directly implement the project using the handbook. It gives me the power now to challenge the experts.”
Alfred Kengni

DEG Engineering

IS THIS PROGRAM FOR YOU?

This is an Enterprise Adoption Program for leaders who are tired of "AI hype" and ready for "AI ROI." - VPs & Directors: Move from digital strategy to measurable, scalable production. - Operations Leaders: Optimize supply chains through predictive, agentic intelligence. - Innovation Officers: Use a rigorous framework to de-risk technology investments. - CFOs: Require a deep-dive into the "cost of doing nothing" before approving spend.

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