From AI Strategist to AI Leader: An Actionable Workshop for Leaders & Founders to Deliver Measurable ROI with LLMs
InstructorEd Donner
Free
The curriculum provides toolkits designed to help leaders manage the uncertainty of AI projects and align capabilities with strategic objectives.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This roadmap outlines the end-to-end AI delivery process, detailing specific deliverables for leadership, data science, and engineering teams across six distinct project phases.
This strategic decision framework template provides a structured approach to calculating the ROI of AI initiatives by tracking costs, benefits, and risks over a five-year period.
This visual roadmap outlines three distinct professional tracks in artificial intelligence: becoming an AI leader, an AI decision maker, or an AI strategist.
This case study slide highlights Klarna's successful AI rollout in 2024, noting that the AI assistant is equivalent to the work of 700 full-time human agents.
Instruction focuses on how to orchestrate systems and evaluate trade-offs rather than just using specific AI tools.
Some signals suggest the material is too generic or high-level for those with existing business or technical experience.
Learners have noted a lack of end-to-end live examples or hands-on practice to connect frameworks to real-world use cases. Note that these signals predate the displayed update, and while the update may have addressed them, it does not prove a correction.
The content aligns well with the target of non-technical leaders, though it may not meet the needs of more technical or highly experienced audiences.