What shipped in AI/ML this week, four journeys that end in a real project instead of an endless list, and the courses and people actually worth following.
Before picking a journey — what you actually need going in, not what a syllabus pads out to look thorough.
The short list — if you only bookmark six things, bookmark these.
Curated across Google, DeepLearning.AI, Coursera, Udemy, and a few university originals. Not everything — the ones worth your time.
Fewer, better. Free PDFs linked directly where the authors publish them themselves.
Pick the one closest to where you're starting from.
Beyond the four milestone projects above — a broader catalog, tiered by difficulty. Each one names what it actually signals, not just what it builds.
Where the actual signal is — not engagement bait.
Everything else, filterable by type.
Built by someone obsessed with both markets and machines.
Rahi has a passion for AI/ML and Finance, and likes to build things. When he's not working on something new, he practices Zen meditation and plays games on his PlayStation.
Everything on this page started as something Rahi actually needed to learn — not content built to look busy. If you're here for AI/ML, the trading dashboard is worth a look too.
Questions about a resource, a bug on this page, or want to talk AI/ML transition — reach out directly.