A paid program for agentic coding and building, testing, and shipping production AI systems.
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Theory, intuition, and practical notebooks by Simon Prince.
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A probability-grounded treatment by Christopher and Hugh Bishop.
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Mathematical foundations by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
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A concise, technical introduction by Andriy Burkov.
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LLMOps, fine-tuning, serving, and production workflows.
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Scalable, maintainable machine learning systems by Chip Huyen.
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Sutton and Barto's foundational treatment of reinforcement learning concepts and algorithms.
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The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
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An intuitive macOS app, powered by ChatGPT API and designed for maximum productivity. Built-in prompt templates, support GPT-3.5 and GPT-4. Currently available in 15 languages.
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The in-person certificate courses are not free, but all of the content is available on Fast.ai as MOOCs.
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