2026零基础到进阶：Agentic AI与生成式AI项目实战课 – CG群

本课程专为开发者设计，系统教授自主智能体与生成式AI技术。从Python和LLM原理起步，深入LangChain、LangGraph、CrewAI、AutoGen及MCP协议。通过25+工业级项目，亲手构建全自动编码助手、多智能体工作流等，打通理论到部署全链路。适合零基础至进阶开发者。

原始标题：Master Agentic AI and Generative AI with Projects

Master Agentic AI and Generative AI with Projects

一套专为零基础至渴望进阶的开发者打造的 AI 智能体工程专家课。课程核心聚焦于 2026 年最前沿的自主智能体（Agentic AI）与生成式 AI 技术落地，不仅从 Python 基础和 LLM 原理讲起，更深度解构了 LangChain、LangGraph 图状态机、CrewAI、AutoGen 核心框架以及最新的 MCP（模型上下文协议）；其最大特色在于“超强项目驱动”，学员将通过全栈视角，利用 FastAPI、Streamlit、Docker 和高级 RAG 技术，亲手从零构建出包括全自动编码助手、多智能体协同商务工作流、本地私有知识库在内的 25+ 个工业级 AI 真实项目，在完美打通“理论-开发-云端部署”全链路的同时，帮学员快速建立起极具竞争力的企业级 AI 工程师作品集。

Master Agentic AI, Generative AI, Python, LangChain, LangGraph, RAG, MCP, and Real-World AI Projects

What you’ll learn
⚡ Learn to Build Autonomous AI Agents and Production-Ready Generative AI Applications from Scratch
⚡ Master Python, LLMs, AI Agents, RAG, Vector Databases, LangChain, and LangGraph Through Real-World Projects
⚡ Build Intelligent AI Agents, LLM Applications, RAG Systems, and Full-Stack AI Solutions with Python
⚡ Learn Agentic AI Engineering with Python, LangChain, LangGraph, MCP, and Modern AI Frameworks

Requirements
❗ No need to have any experience at all

Description
Take your Artificial Intelligence skills to the next level by mastering Agentic AI and Generative AI through hands-on, real-world projects. This comprehensive course is designed for beginners, software developers, IT professionals, students, and AI enthusiasts who want to build intelligent, autonomous AI applications using Python and the latest AI technologies.

You’ll begin by learning the fundamentals of Python programming, Large Language Models (LLMs), prompt engineering, embeddings, and Generative AI. As your knowledge grows, you’ll explore Agentic AI concepts, including intelligent agents, planning, reasoning, memory, tool calling, workflow automation, and multi-agent collaboration. You’ll understand how modern AI agents think, make decisions, retrieve information, and perform complex tasks autonomously.

Throughout the course, you’ll gain practical experience with industry-leading tools and frameworks, including OpenAI APIs, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, Ollama, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, FastAPI, Streamlit, Docker, Git, and cloud deployment. You’ll learn how to integrate AI models with external APIs, databases, enterprise systems, and modern web applications to build scalable, production-ready AI solutions.

This course focuses on project-based learning. You’ll build a wide range of real-world applications, including AI chatbots, intelligent virtual assistants, document question-answering systems, AI-powered search applications, coding assistants, workflow automation tools, customer support bots, research assistants, content generation platforms, multi-agent systems, and end-to-end AI business applications. Each project is carefully designed to strengthen your practical development skills and help you build a professional portfolio.

You’ll also learn industry best practices for AI engineering, including prompt optimization, structured outputs, model evaluation, AI security, testing, deployment, monitoring, performance optimization, and cost-efficient AI application development. These skills will prepare you to create reliable, secure, and scalable AI systems for real-world use.

By the end of this course, you’ll have the confidence and expertise to design, develop, deploy, and maintain intelligent Agentic AI and Generative AI applications. Whether you’re looking to start a career in AI, enhance your software development skills, build innovative AI products, automate business workflows, or create a strong portfolio of AI projects, this course provides everything you need to become a successful AI developer.

Who this course is for
⭐ It is for anyone who wants to master Agentic AI and Generative AI from basics to Advanced

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