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Price Executive Academy

Applied AI for Business

Cut through the hype. Create value.

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Real Work.
artificial intelligence.

Designed for leaders navigating rapid change, these AI programs focus on more than just theory. You get strategic understanding and practical application. Participants gain clear frameworks, hands-on experience with leading AI tools, and actionable next steps to make an immediate impact in their organizations.

Whether you’re beginning to explore AI or advancing existing initiatives, each session emphasizes context over concepts, helping you cut through the noise and apply AI where it creates real value.

“I designed these programs so that every participant, regardless of technical background, gets hands-on experience with AI and walks away confident, capable, and ready to use it in their work the very next day. No jargon, no overwhelm, just real skills they can apply immediately.” 

Rihana Msadek, AI Senior Customer Engineer, Google Cloud

Programs

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THE LANGUAGE OF AI

This highly interactive session explores the principles behind strong prompt design, iterative refinement, and techniques for generating consistent, high-quality outputs. Participants will apply these concepts to real use cases and leave with prompt templates they can implement right away.

By the end of this program, participants will:
• Write prompts that gets consistently useful, high-quality results from AI tools without guesswork
• Know exactly which AI tool to use for which task across their daily workflow
• Feel comfortable experimenting with AI on their own, without needing IT support

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Power productivity with AI

Learn how to integrate AI into everyday work to increase efficiency, clarity, and impact—without sacrificing quality. Through live demonstrations and guided practice, this session highlights practical applications across writing, analysis, and decision support.

By the end of this program, participants will:
• Have a personalized AI productivity plan built around their actual role and responsibilities
• Identify areas to automate, including content creation, emails, and reporting
• Identify the highest-impact AI opportunities specific to their team's workflow
• Move from "I use AI sometimes" to "AI is built into how I work every day"

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Generative AI for Leaders

Leaders gain a clear, business-focused understanding of what generative AI means for their organization, including how to evaluate opportunities, manage risk, and lead AI initiatives with confidence. No technical background required—just a readiness to engage with real-world scenarios and informed trade-offs.

By the end of this program, participants will:
• Understand what AI can and cannot do, explained in business language, not tech jargon
• Confidently lead AI conversations in boardrooms, strategy meetings, and with vendors
• Know how to evaluate AI investments and avoid costly hype-driven decisions
• Speak the language of AI fluently enough to challenge, question, and direct technical teams

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Enterprise AI in Action

This advanced session takes a broader view of AI deployment across an organization. Topics include governance and ethics, change management, vendor evaluation, and building internal AI capabilities. Participants assess their organization’s AI readiness and develop a practical roadmap for responsible, scalable adoption aligned with long-term business strategy.

By the end of this program, participants will:
• Align their teams around a shared understanding of AI's role in the organization
• Identify 3–5 immediate AI use cases with measurable ROI for their department
• Build internal momentum for AI adoption without creating resistance or fear
• Create a practical roadmap to move from AI curiosity to AI implementation

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Help us assess your AI needs. Fill out this form to begin your journey to AI readiness.

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Faculty

Our AI session facilitator, Rihana Msadek, is an AI Senior Customer Engineer at Google Cloud. Over the past eight years, she has trained more than 3,000 professionals on how to implement and leverage Artificial intelligence in their companies. Previously a Research Engineer at Google DeepMind, and a Data Scientist at IBM, Rihana specializes in helping organizations move from AI-curious to AI-capable.