GCD→CIO
Leadership Track
Every Group Creative Dir. must be a Creative Innovation Officer in 2026
— Andrew Kreick
GCD→CIO
Leadership Track
Every Group Creative Dir. must be a Creative Innovation Officer in 2026
— Andrew Kreick
GCD→CIO
Leadership Track
Every Group Creative Dir. must be a Creative Innovation Officer in 2026
— Andrew Kreick
GCD→CIO
Leadership Track
Every Group Creative Dir. must be a Creative Innovation Officer in 2026
— Andrew Kreick

Feb 12, 2026
A 12-Month Multi-Disciplinary Certification in Adaptive AI Leadership and Applied Agility
Target Audience: Professionals in transition, laid-off workers, or anyone re-entering a rapidly evolving digital economy.
Outcome: Graduates can confidently lead, design, and execute AI-enabled workflows across multiple business disciplines.
Format: 12 months | 4 phases | 12 live instructional hours + 24 platform and project hours | Blended online & cohort learning
Phase 1: Foundations of AI and Business Acumen
Goal: Build confidence in the language of AI, business, and agile transformation.
Duration: Months 1-3
Modules:
AI Literacy & Vocabulary
History of AI, generative models, and large language models
Common terms: tokens, prompts, embeddings, and agents
Key frameworks: Responsible AI, Human-in-the-Loop
Certification Milestone: AI Fluency Badge
Business Systems & Strategy
Core business models: revenue, cost, value creation
Organizational agility: OKRs, Lean, Agile, Design Thinking
Intro to enterprise systems: CRM, ERP, HCM
Case study: How AI shifts business strategy
Adaptive Mindset & Meta-Cognition
Growth mindset and systems thinking
Emotional intelligence in the AI era
Reflective journaling + personal transformation plan
Phase 2: Platforms, Tools, and Applied Systems
Goal: Gain hands-on exposure to modern enterprise platforms and AI tools.
Duration: Months 4-6
Modules:
AI in Software & Systems
Microsoft Copilot, Google Gemini, and ChatGPT in business use
Workflow automation: Zapier, Make, and internal API orchestration
Cloud data architecture basics
Marketing & Marketing Operations
AI in content creation, SEO, and performance marketing
Campaign automation tools: HubSpot, Salesforce, Marketo
Building customer journeys with data and automation
People, Culture, and Workforce Transformation
Future of work and workforce analytics
AI in recruiting, learning, and performance
Building ethical people systems and agent-enabled HR
Phase 3: Finance, Data, and Legal Literacy
Goal: Build financial, analytical, and ethical foundations for AI-enabled leadership.
Duration: Months 7-9
Modules:
Finance for Non-Finance Professionals
P&L literacy, balance sheets, and cost structures
How AI impacts cost optimization and forecasting
Case study: AI-Driven Finance
Data Privacy, Ethics, and Governance
Data protection (GDPR, CCPA) and compliance frameworks
AI auditability and transparency standards
Risk and bias in AI decision-making
Certification Milestone: Responsible AI Certificate
Legal Aspects of AI and Intellectual Property
Copyright, data ownership, and liability
AI contracts, open-source licensing
Legal tech innovation and case precedents
Phase 4: AI Agents, Workflows, and Professional Reinvention
Goal: Integrate everything learned to design and present a real-world transformation project.
Duration: Months 10-12
Modules:
AI Agents & Workflows
Agentic frameworks and orchestration (LangChain, CrewAI, AutoGPT)
Designing custom AI workflows for marketing, ops, and HR
Introduction to the Kinney Observability Engine™ for adaptive learning
Presentation, Storytelling, and Communication
Data storytelling and narrative intelligence
Building persuasive executive decks with AI
Verbal and visual communication for transformational leadership
Capstone: Personal Rebrand & Career Transformation Project
Students design an AI-enabled business or career project
Presentation to Kinney AI board + recruiter network
Certification Milestone: CAAP Designation
Learning Outcomes
Graduates will be able to:
Speak the shared language of AI, business, and technology.
Design and execute AI-enabled workflows.
Use agile principles to adapt across disciplines.
Understand the financial, data, legal, and people implications of AI.
Present confidently as a modern, AI-ready professional.
Built-In Differentiators:
Portfolio-Based Certification:Each graduate leaves with a capstone portfolio and case study.Credential:“CAAP” from Kinney AI + optional micro-credential.
A 12-Month Multi-Disciplinary Certification in Adaptive AI Leadership and Applied Agility
Target Audience: Professionals in transition, laid-off workers, or anyone re-entering a rapidly evolving digital economy.
Outcome: Graduates can confidently lead, design, and execute AI-enabled workflows across multiple business disciplines.
Format: 12 months | 4 phases | 12 live instructional hours + 24 platform and project hours | Blended online & cohort learning
Phase 1: Foundations of AI and Business Acumen
Goal: Build confidence in the language of AI, business, and agile transformation.
Duration: Months 1-3
Modules:
AI Literacy & Vocabulary
History of AI, generative models, and large language models
Common terms: tokens, prompts, embeddings, and agents
Key frameworks: Responsible AI, Human-in-the-Loop
Certification Milestone: AI Fluency Badge
Business Systems & Strategy
Core business models: revenue, cost, value creation
Organizational agility: OKRs, Lean, Agile, Design Thinking
Intro to enterprise systems: CRM, ERP, HCM
Case study: How AI shifts business strategy
Adaptive Mindset & Meta-Cognition
Growth mindset and systems thinking
Emotional intelligence in the AI era
Reflective journaling + personal transformation plan
Phase 2: Platforms, Tools, and Applied Systems
Goal: Gain hands-on exposure to modern enterprise platforms and AI tools.
Duration: Months 4-6
Modules:
AI in Software & Systems
Microsoft Copilot, Google Gemini, and ChatGPT in business use
Workflow automation: Zapier, Make, and internal API orchestration
Cloud data architecture basics
Marketing & Marketing Operations
AI in content creation, SEO, and performance marketing
Campaign automation tools: HubSpot, Salesforce, Marketo
Building customer journeys with data and automation
People, Culture, and Workforce Transformation
Future of work and workforce analytics
AI in recruiting, learning, and performance
Building ethical people systems and agent-enabled HR
Phase 3: Finance, Data, and Legal Literacy
Goal: Build financial, analytical, and ethical foundations for AI-enabled leadership.
Duration: Months 7-9
Modules:
Finance for Non-Finance Professionals
P&L literacy, balance sheets, and cost structures
How AI impacts cost optimization and forecasting
Case study: AI-Driven Finance
Data Privacy, Ethics, and Governance
Data protection (GDPR, CCPA) and compliance frameworks
AI auditability and transparency standards
Risk and bias in AI decision-making
Certification Milestone: Responsible AI Certificate
Legal Aspects of AI and Intellectual Property
Copyright, data ownership, and liability
AI contracts, open-source licensing
Legal tech innovation and case precedents
Phase 4: AI Agents, Workflows, and Professional Reinvention
Goal: Integrate everything learned to design and present a real-world transformation project.
Duration: Months 10-12
Modules:
AI Agents & Workflows
Agentic frameworks and orchestration (LangChain, CrewAI, AutoGPT)
Designing custom AI workflows for marketing, ops, and HR
Introduction to the Kinney Observability Engine™ for adaptive learning
Presentation, Storytelling, and Communication
Data storytelling and narrative intelligence
Building persuasive executive decks with AI
Verbal and visual communication for transformational leadership
Capstone: Personal Rebrand & Career Transformation Project
Students design an AI-enabled business or career project
Presentation to Kinney AI board + recruiter network
Certification Milestone: CAAP Designation
Learning Outcomes
Graduates will be able to:
Speak the shared language of AI, business, and technology.
Design and execute AI-enabled workflows.
Use agile principles to adapt across disciplines.
Understand the financial, data, legal, and people implications of AI.
Present confidently as a modern, AI-ready professional.
Built-In Differentiators:
Portfolio-Based Certification:Each graduate leaves with a capstone portfolio and case study.Credential:“CAAP” from Kinney AI + optional micro-credential.
A 12-Month Multi-Disciplinary Certification in Adaptive AI Leadership and Applied Agility
Target Audience: Professionals in transition, laid-off workers, or anyone re-entering a rapidly evolving digital economy.
Outcome: Graduates can confidently lead, design, and execute AI-enabled workflows across multiple business disciplines.
Format: 12 months | 4 phases | 12 live instructional hours + 24 platform and project hours | Blended online & cohort learning
Phase 1: Foundations of AI and Business Acumen
Goal: Build confidence in the language of AI, business, and agile transformation.
Duration: Months 1-3
Modules:
AI Literacy & Vocabulary
History of AI, generative models, and large language models
Common terms: tokens, prompts, embeddings, and agents
Key frameworks: Responsible AI, Human-in-the-Loop
Certification Milestone: AI Fluency Badge
Business Systems & Strategy
Core business models: revenue, cost, value creation
Organizational agility: OKRs, Lean, Agile, Design Thinking
Intro to enterprise systems: CRM, ERP, HCM
Case study: How AI shifts business strategy
Adaptive Mindset & Meta-Cognition
Growth mindset and systems thinking
Emotional intelligence in the AI era
Reflective journaling + personal transformation plan
Phase 2: Platforms, Tools, and Applied Systems
Goal: Gain hands-on exposure to modern enterprise platforms and AI tools.
Duration: Months 4-6
Modules:
AI in Software & Systems
Microsoft Copilot, Google Gemini, and ChatGPT in business use
Workflow automation: Zapier, Make, and internal API orchestration
Cloud data architecture basics
Marketing & Marketing Operations
AI in content creation, SEO, and performance marketing
Campaign automation tools: HubSpot, Salesforce, Marketo
Building customer journeys with data and automation
People, Culture, and Workforce Transformation
Future of work and workforce analytics
AI in recruiting, learning, and performance
Building ethical people systems and agent-enabled HR
Phase 3: Finance, Data, and Legal Literacy
Goal: Build financial, analytical, and ethical foundations for AI-enabled leadership.
Duration: Months 7-9
Modules:
Finance for Non-Finance Professionals
P&L literacy, balance sheets, and cost structures
How AI impacts cost optimization and forecasting
Case study: AI-Driven Finance
Data Privacy, Ethics, and Governance
Data protection (GDPR, CCPA) and compliance frameworks
AI auditability and transparency standards
Risk and bias in AI decision-making
Certification Milestone: Responsible AI Certificate
Legal Aspects of AI and Intellectual Property
Copyright, data ownership, and liability
AI contracts, open-source licensing
Legal tech innovation and case precedents
Phase 4: AI Agents, Workflows, and Professional Reinvention
Goal: Integrate everything learned to design and present a real-world transformation project.
Duration: Months 10-12
Modules:
AI Agents & Workflows
Agentic frameworks and orchestration (LangChain, CrewAI, AutoGPT)
Designing custom AI workflows for marketing, ops, and HR
Introduction to the Kinney Observability Engine™ for adaptive learning
Presentation, Storytelling, and Communication
Data storytelling and narrative intelligence
Building persuasive executive decks with AI
Verbal and visual communication for transformational leadership
Capstone: Personal Rebrand & Career Transformation Project
Students design an AI-enabled business or career project
Presentation to Kinney AI board + recruiter network
Certification Milestone: CAAP Designation
Learning Outcomes
Graduates will be able to:
Speak the shared language of AI, business, and technology.
Design and execute AI-enabled workflows.
Use agile principles to adapt across disciplines.
Understand the financial, data, legal, and people implications of AI.
Present confidently as a modern, AI-ready professional.
Built-In Differentiators:
Portfolio-Based Certification:Each graduate leaves with a capstone portfolio and case study.Credential:“CAAP” from Kinney AI + optional micro-credential.
