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A structured 19-phase AI/ML learning curriculum covering topics from setup and math to capstone projects, created by @ghumare64.
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.
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.
A comprehensive 500-hour learning path for AI Infrastructure Engineering, covering Docker, Kubernetes, MLOps, LLM infrastructure, and more through hands-on projects and labs.
A systematic tutorial on programming mindset, covering core definitions, problem modeling, data representation, process design, and multiple aspects of learning programming.
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.
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.