AI engineer shares top resources for career growth in ML and LLMs

By PulseAugur Editorial · [1 sources] · 2026-08-26 07:00

AI engineer Chip Huyen's book "Designing Machine Learning Systems" and Maxime Labonne's "Building LLMs for Production" are recommended resources for career advancement. The post also suggests engaging with Fast.ai's practical course, LangChain/LlamaIndex documentation, and Simon Willison's blog for daily AI insights. The author emphasizes hands-on building over passive consumption for learning. AI

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RANK_REASON This is a personal recommendation of learning resources, not a primary announcement of a new model, research, or product.

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-26 07:00

🎓 Resources that levelled me up as an AI engineer: 📖 "Designing Machine Learning Systems" — Chip Huyen 📖 "Building LLMs for Production" — Maxime Labonne 🎥 Fast.

🎓 Resources that levelled me up as an AI engineer: 📖 "Designing Machine Learning Systems" — Chip Huyen 📖 "Building LLMs for Production" — Maxime Labonne 🎥 Fast.ai practical course (free, hands-on) 🔗 LangChain / LlamaIndex docs (read, don't cargo cult) 📝 Simon Willison's blog (dai…