Course Outline
AI Fundamentals: Core Concepts, Variations and Common Myths
- Defining the scope and limitations of artificial intelligence
- Distinguishing between narrow AI and general AI
- Overview of machine learning, deep learning, and data science
- Understanding machine learning mechanics without technical jargon
Generative AI and AI Agents in the Enterprise
- The capabilities and constraints of generative AI
- The mechanics and function of AI agents
- Typical business applications of generative AI
- Addressing hallucinations and the boundaries of current tools
Data Readiness: The Cornerstone of AI
- Differentiating between structured and unstructured data
- Data quality and its critical dimensions
- Essential data governance principles for managers
- The importance of establishing data readiness before AI adoption
Generating Business Value with AI
- The AI opportunity matrix
- Value chain analysis for identifying AI use cases
- Primary and supporting business activities
- Processes offering the highest potential for value creation
AI Success Stories and Key Learnings
- Real-world AI applications across various business functions
- Factors contributing to successful AI implementations
- Common failure patterns and strategies to avoid them
Workshop: Identifying AI Opportunities by Department
- Mapping departmental processes and identifying pain points
- Brainstorming AI use cases for specific business areas
- Completing an AI opportunity canvas
- Cross-departmental sharing and discussion of insights
Prioritizing AI Use Cases for Maximum Impact
- Scoring for value versus feasibility
- Balancing quick wins with strategic long-term investments
- The AI project funnel
- Selecting the initial use cases for execution
AI Governance: Roles, Committees and Accountability
- Determining the leadership structure for AI within the organization
- Defining governance roles, committees, and duties
- Center of Excellence models versus distributed ownership
- Best practices for effective AI governance
Security, Risk and Responsible AI
- Navigating information security and data protection constraints
- Conducting risk assessments for AI initiatives
- Ethical guidelines and the practice of responsible AI
- Building trustworthy AI systems
Cultivating an AI-Ready Organization
- Evaluating organizational AI maturity
- Required skills and competencies for the AI journey
- Change management and cultural preparedness
- The continuous AI strategy cycle
Workshop: Developing the AI Implementation Roadmap and Action Plan
- Consolidating the identified opportunity map
- Defining implementation phases, quick wins, and key milestones
- Assigning ownership, metrics, and governance checkpoints
- Finalizing the initial roadmap and immediate next steps
Requirements
- No prior technical background or programming experience is necessary.
- A keen interest in applying AI within a business or managerial context.
Target Audience
- Senior managers and department heads.
- General managers and executive leadership.
- Leaders overseeing digitalization and transformation projects.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
