I have been trained in machine learning and started to notice a few early stage CTOs asking for advice on how to best start a ML project.
It seems many are tasked to implement an AI/ML roadmap for their start-up. But getting into ML make them experience a bit of an imposter syndrome, with all the jargon and technical sounding experts out-there.
They are all very capable individuals and I feel that this barrier to entry is unjustified with all the tools and models readily available. So, with some friends, we are trialing a 1.5h workshop to cover a few basics and demystify what ML is and what it can do. See https://lu.ma/06ec3e24
We designed this workshop to be as impactful as possible. If you are experienced software engineer getting into ML, consider joining us.
If initial feedback is good, we are thinking of working toward a 6-week "ML cohort-based masterclass" to help CTOs define a 6-18 month ML roadmap. This would include 1-on-1 sessions with a ML experts and access to curated exercises to do with the cohort.
