AI+ Chief AI Officer Practitioner™

AI+ Chief AI Officer Practitioner™

USD$195.00 (GST excl.)

Formerly known as AI+ Chief AI Officer™

AI Leadership for Chief Officers: Driving Innovation and Intelligence

  • Leadership Upgrade: Equip C-suite executives to lead AI-driven innovation
  • Efficiency Focus: Use AI tools to optimize operations, decision-making, and resources
  • Strategic Role: Aligns AI implementation with business intelligence goals
  • Course + Exam: Combines theory and practical insights in a compact format
For more information, see below
Duration
Instructor-Led: 1 day (live or virtual) 
Self-Paced: 8 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam

Overview

  • Leadership Upgrade: Equip C-suite executives to lead AI-driven innovation
  • Efficiency Focus: Use AI tools to optimize operations, decision-making, and resources
  • Strategic Role: Aligns AI implementation with business intelligence goals
  • Course + Exam: Combines theory and practical insights in a compact format

Prerequisites

Basics of business management, Experience in a leadership or business admin role, Familiarity with fundamental AI concepts.

What you’ll learn

Current CTOs, CIOs, or CDOs (Chief Digital Officers): Senior technology executives who are responsible for overseeing AI adoption.
CEOs and Founders of Tech Companies: Entrepreneurs or CEOs of startups and tech companies who want to integrate AI technologies into their strategic vision.
COOs and Operations Executives: Those responsible for the day-to-day operations of a business who seek to leverage AI to optimize operations.
Students & New Graduates: Gain a competitive edge in the Chief AI Officer role by mastering AI tools and strategies that is driving leadership in AI innovation.

Why this certification matters

  • Drive AI Strategy: Learn to develop and execute a strategic AI roadmap to guide organizational growth and innovation.
  • Manage Cybersecurity Risks: Gain insights into mitigating cybersecurity threats and ensuring AI systems' security and privacy.
  • Foster Data-Driven Decisions: Master techniques to utilize data effectively for informed decision-making and business optimization.
  • Build High-Performing Teams: Learn strategies to assemble and lead AI-focused teams that drive successful project execution.
  • Navigate Regulatory Frameworks: Understand the regulatory environment around AI and ensure compliance while maximizing business impact.

Tools you’ll use

LeewayHertz (ZBrain)
LeewayHertz (ZBrain)
C3.ai
C3.ai
Coupa (LLamasoft)
Coupa (LLamasoft)
Zebra (Workcloud Demand Intelligence Suite)
Zebra (Workcloud Demand Intelligence Suite)

Learning Modules

9 modules

1Module 1: Foundations of AI and Leadership in the Digital Era
1.1 Defining Artificial Intelligence
1.2 Key AI Technologies
1.3 The CAIO’s Unique Role
1.4 Navigating Cybersecurity Challenges
1.5 Establishing Cross-Departmental Collaboration
1.6 Case Study
2Module 2: Crafting a Strategic AI Roadmap
2.1 Aligning AI with Business Objectives
2.2 Setting Measurable Goals
2.3 Identifying Opportunities for Innovation
2.4 Engaging Stakeholders Across Departments
2.5 Monitoring Progress and Adjusting Plans
2.6 Case Study
3Module 3: Building a High-Performance AI Team
3.1 Key Roles in an AI Team
3.2 Recruitment Strategies for Top Talent
3.3 Cultivating a Collaborative Culture
3.4 Continuous Learning Initiatives
3.5 Evaluating Team Performance
3.6 Case Study
4Module 4: Ethics in AI Governance and Risk Management
4.1 Integrating Ethical Frameworks into AI Development
4.2 Conducting Ethical Impact Assessments
4.3 Developing Risk Mitigation Strategies
4.4 Establishing Transparency Protocols
4.5 AI Governance Models and Frameworks
4.6 Case Study
5Module 5: Data-Driven Decision-Making and Business Impact Assessment
5.1 The Role of Data in AI Initiatives
5.2 Business Impact Assessment Frameworks
5.3 Measuring ROI from AI Investments
5.4 Hypothesis Testing in AI Projects
5.5 Resource Allocation Strategies
5.6 Case Study
6Module 6: Driving Organization: Wide Adoption of AI
6.1 Creating Change Management Strategies
6.2 Communicating the Value of AI Initiatives
6.3 Addressing Resistance to Change
6.4 Metrics for Success Evaluation
6.5 Case Study
7Module 7: Leveraging Generative AI for Business Innovation
7.1 Understanding Generative AI Capabilities
7.2 Identifying Areas for Innovation with Generative AI
7.3 Integrating Generative Solutions into Business Processes
7.4 Managing Risks Associated with Generative Applications
7.5 Creating Interdepartmental Synergies with Generative AI
7.6 Case Study
8Module 8: Capstone Project
8.1 Project Overview and Objectives
8.2 Collaborative Work Sessions
8.3 Presentation Skills Workshop
8.4 Final Presentations and Constructive Feedback
8.5 Reflection on Key Takeaways from the Course Experience
9Optional Module: AI Agents for Chief AI Officer
1. What Are AI Agents
2. Key Capabilities of AI Agents for the Chief AI Officer
3. Applications and Trends of AI Agents for the Chief AI Officer
4. How Does an AI Agent Work
5. Core Characteristics of AI Agents
6. Types of AI Agents
Format

Online, self-paced
Duration

Instructor-Led: 1 day (live or virtual) 
Self-Paced: 8 hours of content
Exam

50 questions, 70% passing, 90 minutes, online proctored exam
Included

Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites

Basics of business management, Experience in a leadership or business admin role, Familiarity with fundamental AI concepts.
Delivery

Projects & case studies
Outcome

Industry-recognized credential + hands-on experience

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