{"repo":"snudurupati/agentic-ai-architect","free":true,"listed":false,"github":"https://github.com/snudurupati/agentic-ai-architect","clone":"git clone https://github.com/snudurupati/agentic-ai-architect.git","description":"From Data Engineer to AI Architect: An 8-week open-source curriculum building a production-grade Data Contract Validator Agent.","language":"Jupyter Notebook","stars":10,"topics":["rag","agentic-architecture","ai-agents","data-engineering","llm","python","open-source-curriculum","prompt-engineering-as-code"],"license":"MIT","category":"ai-agents","readme_excerpt":"The Agentic AI Architect: 8-Week Curriculum From Data Engineer to AI Systems Architect. This repository hosts the code and curriculum for the 8-week \"Agentic AI Architect\" roadmap. Each folder corresponds to a week of study, moving from LLM fundamentals to building a production-ready Data Contract Validator agent. 📂 Curriculum Structure       Week       Topic Key Concepts :----------- ------- -------------- Week 0 The Agentic Data Engineer The original demo. How to start thinking like an agent. Week 1 The Stochastic CPU Latency, tokens, and the \"new compute\" mindset. Week 2 Structured Output Making LLMs deterministic with Pydantic. Week 3 RAG Fundamentals Vector databases, embeddings, and semantic search. Week 4 Advanced RAG Hybrid search, re-ranking, and overcoming retrieval failures. Week 5 Agent Orchestration Moving from chains to state machines (LangGraph). Week 6 Multi-Hop Reasoning with GraphRAG Entity Resolution, Semantic Bridging and Explainable AI. Week 7 Continued Pre-Training Model Fine-Tuning using CPT Week 8 The Bake-off CPT vs. GraphRAG Head-to-Head. 🚀 Getting Started 1. Clone the repo: bash git clone https://github.com/snudurupati/agentic-ai-architect.git","default_branch":null,"files":null,"tree":[],"storefront":"/r/snudurupati","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/snudurupati/agentic-ai-architect/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}