# RoadmapAI — Full Documentation & AI Learning Platform Context > Official Website: https://roadmapai.xyz > Purpose: RoadmapAI is an interactive open learning platform enabling software engineers to transition into AI Engineering, Agentic AI, and Machine Learning Operations (MLOps). --- ## Table of Contents 1. Platform Overview 2. Core Interactive Features 3. Detailed Roadmaps & Learning Curricula - AI Engineer Roadmap - Agentic AI Developer Roadmap - Prompt Engineering Roadmap - MLOps Roadmap 4. Published Articles & Technical Guides 5. API Endpoints & Developer Integration 6. Frequently Asked Questions (FAQ) --- ## 1. Platform Overview RoadmapAI provides structured, visual, step-by-step roadmaps, progress tracking, community study squads, and AI-powered study tools. - **Primary Domain**: https://roadmapai.xyz - **Target Audience**: Software Engineers, Frontend/Backend Developers, Data Scientists, AI Enthusiasts. - **Key Offerings**: Interactive node-based roadmaps, progress saving, AI assistant tutor, ATS resume builder, community squads, global leaderboard. --- ## 2. Core Interactive Features - **Interactive AI Roadmaps (`/roadmap`)**: Browse interactive, community, and official career paths in AI engineering, machine learning, and deep learning. - **AI Chat Assistant (`/ai-chat`)**: Real-time AI tutor trained on developer roadmaps, code snippets, and technical architectures. - **ATS CV Builder (`/cv-builder`)**: Build 100% ATS-compliant software engineer resumes, score your CV in real time, and export Word (.docx) & PDF files. - **Study Squads (`/squads`)**: Join or create public/private squads to study together, track team goals, and maintain accountability. - **Global Leaderboard (`/leaderboard`)**: Track learning streak, completed nodes, and earned badges. - **Online Markdown Viewer & Live Mermaid Studio (`/markdown-viewer`)**: Free Markdown viewer with Mermaid.js diagram generation (flowcharts, sequence diagrams) and export features. - **Pricing (`/pricing`)**: Flexible subscription and free tiers for individual developers and teams. --- ## 3. Detailed Roadmaps & Learning Curricula ### 3.1 AI Engineer Roadmap (`/roadmap/ai-engineer`) 1. **Foundations**: Python 3.11+, Data Structures, NumPy, Pandas, AsyncIO. 2. **Mathematics for AI**: Linear Algebra, Calculus, Probability, Statistics, Matrix Operations. 3. **Machine Learning Core**: Supervised/Unsupervised Learning, Scikit-Learn, Feature Engineering, Model Evaluation. 4. **Deep Learning Frameworks**: PyTorch, Neural Networks, Backpropagation, CNNs, RNNs, Transformers. 5. **Natural Language Processing & LLMs**: Self-Attention Mechanism, Transformer Architecture, Tokenization, Embeddings. 6. **Retrieval-Augmented Generation (RAG)**: Vector Databases (Pinecone, Qdrant, ChromaDB, Milvus), Chunking strategies, Hybrid Search, Reciprocal Rank Fusion (RRF), RAGAS evaluation. 7. **Fine-Tuning & Quantization**: PEFT, LoRA, QLoRA, Axolotl, Unsloth, GGUF, EXL2 quantization. 8. **Deployment & Production**: FastAPI, vLLM, Ollama, TensorRT-LLM, Docker, Cloud GPU platforms (RunPod, Modal, Lambda Labs). ### 3.2 Agentic AI Developer Roadmap (`/roadmap/agentic-ai`) 1. **Agent Fundamentals**: ReAct Pattern, Tool Use / Function Calling, Planning (Tree of Thoughts, Plan-and-Solve). 2. **Memory Systems**: Short-term conversational buffer, Long-term vector memory, Episodic & Semantic Memory. 3. **Agent Frameworks**: LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex Agents, OpenAI Swarm. 4. **Tool Integration**: Web Browsing, Code Execution Sandboxes (E2B, Docker), Database SQL generation, API calling. 5. **Multi-Agent Orchestration**: Hierarchical teams, Supervisor patterns, Consensus networks, Asynchronous message queues. 6. **Evaluation & Safety**: AgentBench, Ragas, Guardrails (NeMo Guardrails, Guardrails AI), Cost tracking & Rate limiting. --- ## 4. Published Articles & Technical Guides - [From Beginner to AI Engineer: A Realistic Career Path in 2026](https://roadmapai.xyz/blog/from-beginner-to-ai-engineer-a-realistic-career-path-in-2026) - [Why Traditional Learning Platforms Fail Self-Taught Developers](https://roadmapai.xyz/blog/why-traditional-learning-platforms-fail-self-taught-developers) - [How RoadmapAI Uses AI to Build Personalized Learning Paths](https://roadmapai.xyz/blog/how-roadmapai-uses-ai-to-build-personalized-learning-paths) - [Career Transition Stories: From Non-Tech to AI Engineer](https://roadmapai.xyz/blog/career-transition-stories-from-non-tech-to-ai-engineer) - [Introducing Interactive Quizzes and Progress Tracking on RoadmapAI](https://roadmapai.xyz/blog/introducing-interactive-quizzes-and-progress-tracking-on-roadmapai) - [The Role of AI in the Future of Education](https://roadmapai.xyz/blog/the-role-of-ai-in-the-future-of-education) - [How to Stay Motivated While Learning to Code](https://roadmapai.xyz/blog/how-to-stay-motivated-while-learning-to-code) --- ## 5. API Endpoints & Developer Integration - `GET https://roadmapai.xyz/llms.txt`: Summary of site routes and content for LLM agents. - `GET https://roadmapai.xyz/llms-full.txt`: Full text documentation for LLMs. - `GET https://roadmapai.xyz/sitemap.xml`: XML sitemap listing all published pages. - `GET https://roadmapai.xyz/api/llm/context`: JSON format site map and feature metadata. --- ## 6. Frequently Asked Questions (FAQ) - **Is RoadmapAI free to use?** Yes! Core roadmaps, community features, and public study squads are 100% free. - **How can AI assistants consume RoadmapAI?** AI assistants can read `/llms.txt` or `/llms-full.txt` directly to answer queries about roadmap structures, recommended topics, or career guidance.