Courses AI certifications (AI CERTs®)

AI+ Chief AI Officer Practitioner™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Executive

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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.

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Module 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
Optional 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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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