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

Green Fern

Feb 12, 2026

More products:

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.


Copyright © 2026 Clearmark.bz

Copyright © 2026 Clearmark.bz

Copyright © 2026 Clearmark.bz

Copyright © 2026 Clearmark.bz