From the course: AI Project Coordination for Lead Data Scientists
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Estimating timelines for AI projects
From the course: AI Project Coordination for Lead Data Scientists
Estimating timelines for AI projects
- Estimating timelines for AI projects is hard, but not impossible. Uncertainty is built into the process and that's normal. So your job is to name it, scope it, and lead through it. Classic project management habits won't really save you here, and I find that pretty common. Unlike machine learning projects, which often center around training and tuning models, GenAI systems, especially LLMs and agent workflows, act more like organisms than predictive AI. They're measured by usefulness, not just accuracy. Here's how to estimate timelines without fooling yourself or your team. First, shift your thinking. You're not managing completion. You're managing uncertainty. AI agents don't have fixed endpoints. They explore and they can fail in strange ways. They service edge cases you didn't know existed. So your job is to build time for that ambiguity. You need a buffer. So you need to ask early, "Where will the system likely…
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