AI Leader: Generative AI & Agentic AI for Leaders & Founders
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Unclaimed ProfileNavigating the rapidly evolving landscape of Generative AI requires more than just technical knowledge; it demands strategic leadership and commercial foresight. In "AI Leader: Generative AI & Agentic AI for Leaders & Founders," instructor Ed Donner delivers a comprehensive framework designed specifically for executives, entrepreneurs, and decision-makers looking to turn artificial intelligence into a tangible driver of business ROI. This actionable briefing cuts through the hype of large language models (LLMs) to explore the practical realities of scaling AI performance. Leaders will gain critical insights into the core technical levers—from Retrieval-Augmented Generation (RAG) to advanced reasoning models—while understanding the financial trade-offs of each approach. Crucially, the course demystifies the paradigm of Agentic AI, preparing founders to safely navigate the risks, benefits, and architectural decisions associated with autonomous workflows. By focusing on measurable outcomes, strategic planning, and managing the inevitable workforce transitions, this course empowers leaders to confidently steer their organization’s AI roadmap, making high-impact decisions that secure a sustainable competitive advantage.
About the creator
Ed Donner
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Ed Donner is a distinguished technology executive, entrepreneur, and educator dedicated to bridging the gap between cutting-edge artificial intelligence and real-world implementation. With decades of experience leading high-performing engineering teams in investment banking—notably serving as a Managing Director at Morgan Stanley—and co-founding the AI-driven recruitment platform untapt, Ed brings a rare blend of deep technical mastery and strategic business acumen to his courses. His teaching philosophy centers on dismantling complex AI concepts, such as agentic workflows, Model Context Protocol (MCP), and large language model architectures, into highly practical, production-ready frameworks. Whether guiding software engineers in building robust multi-agent systems or…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Be an AI Strategist: a framework for your business to drive strategy and investment decisions.
- Be an AI Decision maker: a framework for your business to drive commercial decision-making.
- Be an AI Leader: a framework for leading AI initiatives with measurable commercial impact.
- Your path to AI Leadership, driving change with measurable commercial impact.
- The AI scaling laws and why they matter for your business.
- 5 core techniques for scaling AI performance with cost/benefit - from RAG to Reasoning.
- Agents and Agentic AI - risks, benefits, opportunities.
- AI Architecture from a commercial perspective - cross functional decision-making.
- Gen AI as a competitive differentiator for your business - ideation and traps.
- The case for R&D: committing to a Roadmap with uncertain outcomes.
- Position yourself for change: opportunities & risks of Agents and workforce impact.
Best For
- Executives and C-suite leaders responsible for AI investment and strategy
- Startup founders looking to integrate LLMs and agents into their product roadmap
- Business managers evaluating the commercial ROI of AI implementation
- Decision-makers needing a non-technical overview of AI architecture and scaling
Not For
- Software engineers or data scientists seeking deep-dive coding tutorials
- Individuals looking for step-by-step guidance on prompt engineering or basic tool usage
- Beginners with no interest in the financial or strategic implications of technology
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