Artificial Intelligence TOOLS

Maor Farid: Mechanical Engineer in AI: How to approach AI

Andrew Ng’s Introduction to Machine Learning on Coursera is a fantastic place to start. Don’t just watch the lectures – do the assignments.
That’s where understanding really starts to click.

(2) Dive deeper into neural networks.
Stanford’s CS231n (by Fei-Fei Li and her team) is excellent for understanding how modern AI systems see, decide, and learn.
You don’t need to understand every equation – focus on the logic behind it.

(3) Get hands-on.
Open a GitHub repo and create a Kaggle account.
Pick a small project that excites you on Kaggle- maybe design optimization, material selection, or machine parts classification using out-of-the-box computer vision models – and just start experimenting. When you are done- post it on your GitHub repository and get feedback from others.
That’s how curiosity turns into skill.

(4) Don’t go it alone- join an AI community in your field. Connect from other professionals in your domain, discover tools, tips, and tricks, and participate in meetups and webinars with other professionals in your domain. For instance, lawyers might benefit from the Harvey.ai community, while mechanical engineers can explore Leo AI and Mechanical Intelligence | AI Community for Mechanical Engineers – a space that allows MechEs to share insights, tools, jokes, and join monthly webinars featuring industry legends like former SolidWorks and Onshape CEOs John McEleney, Jon Hirschtick, Bertrand Sicot, and more.

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