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adongwanai/AgentGuide

A comprehensive, job-oriented guide for AI Agent development, covering core technologies, practical projects, and interview preparation for LLM-related roles.

Core Features

Systematic learning path from AI Agent basics to job offer.

Job-oriented content with interview questions and resume optimization.

Hands-on projects for building resume-worthy AI Agents (RAG, Multi-Agent).

Covers full AI Agent tech stack: LangGraph, RAG, LLM fine-tuning, RLHF.

Dual-track guidance for Algorithm and Development Engineers.

Detailed Introduction

AgentGuide is a meticulously curated, job-focused learning resource designed to equip individuals with the skills needed for AI Agent development and secure roles in the large language model (LLM) domain. It offers a systematic learning path, integrating theoretical knowledge with practical projects using frameworks like LangGraph and LangChain, advanced RAG techniques, and multi-agent systems. The guide also provides extensive interview preparation, covering both algorithm and development engineer tracks, making it a one-stop solution for career transition and advancement in the AI Agent field.