Ellen Blackwell is an AI strategist, executive coach, and enterprise transformation leader who helps professionals and organizations move from AI curiosity to practical business value. Her work spans AI adoption, change leadership, workforce enablement, and practical implementation for teams that need more than theory—they need tools, confidence, and measurable outcomes.

She is a coach and contributor to an Oxford University program and has taught graduate certification AI courses for Purdue University, bringing both academic credibility and real-world experience into the classroom. Ellen has worked with leaders, consultants, and enterprise teams to translate complex AI concepts into clear use cases, better decisions, and practical workflows people can actually use.

As an instructor, Ellen focuses on making AI approachable, useful, and grounded in business reality. Students who learn with her can expect clear explanations, hands-on examples, and direct guidance on how to apply AI to their work immediately—not someday, not in theory, but in the real problems they are trying to solve now.

Suzel Wyvill-Jones is an AI strategist, enterprise transformation leader, author, and instructor with 25+ years of experience leading complex business and technology change. She has led large-scale portfolios, post-merger integrations, digital modernization efforts, Agile transformations, and AI-enabled operating models for Fortune 500 and Fortune 100 environments.

She is the author of AI-Powered Business Transformation: From Strategy to Execution in Weeks and brings deep experience in Agile, Generative AI, business architecture, design thinking, PMO leadership, and enterprise execution. Suzel has built and deployed AI agents, intelligent workflows, and practical AI prototypes that help organizations move beyond experimentation into measurable business value.

As an instructor, Suzel focuses on making AI practical, clear, and useful for professionals who need to apply it in the real world. Her goal is to help students identify high-value AI opportunities, understand what makes them feasible, and leave with tools, frameworks, and confidence they can use immediately in their work.