Applying Generative AI for Decision Makers and Architects

This one-day, executive-level course provides leaders and architects with a clear, practical understanding of Generative AI and how to adopt it strategically within their organizations. The course focuses on business value, risk management, and execution—not coding. Through real-world use cases, interactive demonstrations, and proven frameworks, participants learn how to identify high-impact Generative AI opportunities, manage risks such as data privacy and bias, and build the right teams and processes for success.

Participants leave with a concrete action plan to evaluate, pilot, and scale Generative AI initiatives that deliver measurable business outcomes while remaining secure, compliant, and aligned with organizational goals.

• Understand what Generative AI is and how it differs from traditional AI approaches
• Identify and prioritize high-value Generative AI use cases across business functions
• Evaluate risks related to data privacy, bias, intellectual property, and compliance
• Compare Generative AI platforms and deployment models (public, private, hybrid)
• Build a framework for piloting, validating, and scaling Generative AI initiatives
• Integrate Generative AI with existing enterprise systems such as CRM and ERP
• Define the skills, roles, and team structures required for successful GenAI adoption
• Develop a practical roadmap and action plan for implementing Generative AI in their organization
• Prepare for emerging trends such as multimodal AI, RAG, and autonomous agents

• Executives and senior leaders
• IT and technology leaders
• Solution and enterprise architects
• Project and program managers
• Business strategists and analysts
• Leaders responsible for technology investment and innovation decisions

• No programming or data science background required
• Solid understanding of business operations and decision-making processes
• Basic familiarity with digital tools or enterprise systems
• Prior experience managing technology projects is helpful but not required