anthropic launched a free academy - 20+ courses, no cost, no catch. tracks cover claude code, the...anthropic launched a free academy - 20+ courses, no cost, no catch. tracks cover claude code, the...
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anthropic launched a free academy - 20+ courses, no cost, no catch.
tracks cover claude code, the API, MCP, agent systems, RAG, prompt engineering — the whole stack, not just "how to use claude 101."
each course has video lessons, interactive exercises, quizzes. six levels total, so it actually scales with you instead of dumping everything on beginners at once.
some courses end in a certificate you can put on linkedin or a resume — not just a completion badge, an actual credential from the company that builds the model.
this is the kind of resource people pay $200+ for on other platforms. anthropic just gave it away.
Building AI for healthcare leaves zero room for error.
I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.