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.<p>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.<p>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 <a href="https://lu.ma/06ec3e24" rel="nofollow">https://lu.ma/06ec3e24</a><p>We designed this workshop to be as impactful as possible. If you are experienced software engineer getting into ML, consider joining us.<p>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.