Open-source Node.js and React app that orchestrates teams of AI agents with org charts, budgets, goals, and a task-manager interface.
A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
Scope | Agentic Experience evaluation platform (Research preview)
OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 542 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026
better agentic engineering
Warcraft III Peon voice notifications (+ more!) for Claude Code, Codex, IDEs, and any AI agent. Stop babysitting your terminal. Employ a Peon today.
The AI-Engineering Foundation Framework for business apps: open-source TypeScript, with multi-tenancy, RBAC, events and domain modules already decided as conventions and specs, so Cursor, Claude Code and Codex build features instead of re-deciding architecture. Start with 80% done.
Open-source High-Level System Design, DSA, and AI Engineering handbooks. CC BY-SA 4.0, Free Forever.
A curated list of best ai tools
AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.
AI Engineering Course - A free and complete AI Engineering Course to learn AI Engineering step by step - from Machine Learning, Neural Networks, and Transformers to LLMs, Fine-Tuning, RAG, AI Agents, LLM Inference, Evaluation, AI Safety, and AI System Design.
A curated list of 120+ LLM libraries category wise.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
A group of notebooks and other files which can help you learn AI from scratch.
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.
AI Engineer Roadmap - A step-by-step AI Engineering roadmap to become an AI Engineer, with a blog for every topic.
Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.
Production AI Systems, Agentic AI & Distributed Infrastructure
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic AI workflows and graphs
Operational tooling & discipline for multi-agent AI engineering fleets — mutation-proven guards, a Textual terminal monitor, generalized skills, and specs. Every check ships with proof it can fail.
Daily learning log for AI Engineer. Updated as I go.
Namaste AI — Free handwritten notes and study material covering AI concepts from the Namaste AI course. Explore the history of AI, neural networks, deep learning, transformers, LLMs, prompt engineering, RAG, AI agents, and more. An open-source learning resource by Chetan Nada.
FDE 中文成长手册:24 周 Forward Deployed Engineer 教程,贯通商业决策、一线问题发现、RAG/MCP 工程交付与运营交接。
考研 408 公开资料库(全口径 22408/11408/自命题):择校数据、三源考情核对、录取分数统计、408 交互学习工具;欢迎 AI agent 与考生按 README「数据征集」节规范投稿院校数据
100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across 10 topics - short answer, detail, worked example, and interview tips for each.
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