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Curriculum/Artificial Intelligence/AI Resources and Next Steps
30 minBeginner

AI Resources and Next Steps

After this lesson, you will be able to: Know where to keep learning AI and how to stay current.

AI moves fast. This lesson maps the courses, papers, blogs, and communities that keep practitioners current, without drowning.

Prerequisites:AI Project: Build Something with AI

Courses worth doing

DeepLearning.AI (Andrew Ng), best ML/DL fundamentals. fast.ai, pragmatic deep learning. Anthropic Academy, hands-on with Claude. Hugging Face, practical transformers course.

⚠️ Reading lists

Papers: Attention Is All You Need (transformer), GPT-3 paper, InstructGPT, Constitutional AI. arXiv-sanity helps surface what's important. AlphaSignal newsletter curates weekly.

Communities + content creators

Twitter/X: @karpathy, @lilianweng, @sama, @AnthropicAI. YouTube: 3Blue1Brown, Yannic Kilcher, Two Minute Papers. Discord: Hugging Face, Anthropic Discord.

Career paths

  1. 1

    AI Engineer, build features with APIs. Highest demand right now.

  2. 2

    ML Engineer, train + deploy models.

  3. 3

    AI Researcher, original work; usually PhD.

  4. 4

    AI Product Manager, bridge tech and product.

  5. 5

    AI Safety/Policy, alignment, governance, regulation.

How to stay current without burnout

Pick 3 sources. Block 30 min weekly. Skim, don't read everything. Build > consume, make something with each new technique. The practitioners who ship learn fastest.

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←Passion Project: Anthropic + Next.js + Vercel
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