learning-path

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#learning-path

One feed for AI news, blogs, papers, repos, tools, and events — built it, and now questioning whether learning is the bigger problem

Reddit r/ArtificialInteligence ↗ · 2026-06-08

AgenticBrew is a new AI news aggregator that pulls from hundreds of sources and clusters related stories. The creator is now exploring a personalized learning path feature to help users improve their AI skills based on role and literacy level, and is seeking community input.

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#learning-path

@DanKornas: AI infrastructure is too broad for random tutorials. AI Infrastructure Engineer Learning Path is a hands-on curriculum …

X AI KOLs Timeline ↗ · 2026-06-05 Cached

DanKornas introduces an open-source AI Infrastructure Engineer Learning Path, a structured 10-module curriculum covering foundations to LLM infrastructure with hands-on labs and projects.

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#learning-path

@techyoutbe: Phase 00: Setup & Tooling (12 lessons) Phase 01: Math Foundations (22 lessons) Phase 02: ML Fundamentals (18 lessons) P…

X AI KOLs Timeline ↗ · 2026-06-04 Cached

A structured 19-phase AI/ML learning curriculum covering topics from setup and math to capstone projects, created by @ghumare64.

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#learning-path

@wsl8297: Want to learn cybersecurity? Most of the time isn't spent on learning itself, but on finding materials: tutorials in one place, tools in another, and practice environments elsewhere—piecing them together already wastes half a day. The h4cker project on GitHub, long maintained by renowned security author Omar Santos, compiles commonly used resources into a one-stop guide...

X AI KOLs Timeline ↗ · 2026-06-03 Cached

This article introduces the h4cker GitHub project maintained by Omar Santos, a one-stop cybersecurity resource navigation covering offensive and defensive techniques, cloud security, application security, AI security, and preparation materials for mainstream security certifications, helping learners efficiently find tutorials, tools, and lab environments.

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#learning-path

@aiwithmayank: 10 FREE RESOURCES THAT TURN A BEGINNER INTO AN AI ENGINEER Bookmark this whole list. Follow it in order. This is the pa…

X AI KOLs Timeline ↗ · 2026-06-03 Cached

A tweet thread curating 10 free resources to learn AI engineering, from Harvard's CS50 AI course to Karpathy's neural networks tutorial, fast.ai, Hugging Face courses, and local tools like Ollama, providing a structured path from beginner to employable skills.

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#learning-path

@tom_doerr: 500-hour AI infrastructure engineering curriculum https://github.com/ai-infra-curriculum/ai-infra-engineer-learning…

X AI KOLs Timeline ↗ · 2026-05-26 Cached

A comprehensive 500-hour learning path for AI Infrastructure Engineering, covering Docker, Kubernetes, MLOps, LLM infrastructure, and more through hands-on projects and labs.

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#learning-path

@123olp: Programming Mindset ├── 0. Core Definition │ ├── Turn fuzzy problems into computable problems │ ├── Turn real-world objects into data representations │ ├── Turn the solution process into clear steps │ ├── Turn results into verifiable outputs │ └── Turn one-time solutions into reusable systems │ ├──…

X AI KOLs Timeline ↗ · 2026-05-25 Cached

A systematic tutorial on programming mindset, covering core definitions, problem modeling, data representation, process design, and multiple aspects of learning programming.

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#learning-path

@Zh_Crypto517: This is probably the most beginner-friendly vibe coding tutorial — easy-vibe. It has already garnered 12.5k stars on GitHub and topped the trend chart. Many programming tutorials start by teaching environments, syntax, frameworks, and engineering standards, scaring off beginners before they even see results. Easy-…

X AI KOLs Timeline ↗ · 2026-05-18 Cached

Easy-Vibe is a beginner-oriented AI coding tutorial that lets users start building apps from natural language requirements and gradually understand the underlying principles. It has earned 12.5k stars on GitHub and topped the trending list.

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#learning-path

@queen_nunaa: For quantitative researchers, the annual salaries offered by Wall Street hedge funds are very attractive, typically ranging from $200,000 to $650,000. Recently, a quantitative trader from Jane Street shared a 50-minute video on YouTube, thoroughly laying out a complete roadmap for quantitative learning, including practical tips related to Polymarket…

X AI KOLs Timeline ↗ · 2026-05-13

This article introduces a 50-minute video shared by a Jane Street quant trader on YouTube, covering a full roadmap for quantitative learning, including practical tips on Polymarket, which is a valuable reference for quant practitioners.

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