Best For
Executives and entrepreneurs seeking to integrate AI into their strategic roadmaps. Freelancers looking to leverage automation to scale their business operations. Business managers aiming to identify ROI-focused AI use cases for their departments. Decision-makers who need to navigate the ethical and operational risks of AI adoption.
Not For
Software developers or data scientists looking for technical coding or model-building tutorials. Beginners seeking an introductory guide to basic computer science or machine learning theory. Individuals who expect a hands-on technical workshop focused on deep learning frameworks.
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About the Creator
Richard Maxwell and Leighanne Miles are collaborative educators specializing in demystifying artificial intelligence for corporate executives and organizational leaders. Their combined approach bridges the gap between complex technological capabilities and practical, high-level business execution. Richard brings years of experience in systems architecture and strategic implementation, focusing on how machine learning models can be integrated into existing enterprise workflows. Leighanne complements this with her deep expertise in organizational change management, ethical AI governance, and talent upskilling. Together, they focus on actionable frameworks rather than abstract coding exercises. Their teaching style is highly pragmatic, interactive, and designed for decision-makers who need to evaluate ROI, manage risk, and steer their companies through rapid digital transitions. Through their shared instruction, they empower executive teams to move past the AI hype cycle and implement secure, scalable, and productive solutions that drive real bottom-line impact. By focusing on real-world case studies and hands-on strategic exercises, they help leadership teams identify high-value AI use cases, manage cross-functional deployment teams, and navigate the complex ethical considerations of automation. This ensures that every participant leaves with a concrete roadmap customized for their specific operational scale and industry needs.
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