Opleiding: AI+ Chief AI Officer Practitioner™

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

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.

• 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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.