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所在平台: Udemy |
课程主页: https://www.udemy.com/course/become-an-llm-agentic-ai-engineer-14-day-bootcamp-2025/
课程评论：没有评论
**课程名称：** 大型语言模型 (LLMs) 与智能体 AI 加速器 [2025] **课程概述：** 本次 Coursera 课程 “大型语言模型 (LLMs) 与智能体 AI 加速器 [2025]” 是一项高度实用的强化训练项目，旨在帮助专业人士和技术爱好者掌握构建前沿 AI 应用的关键技能。课程将深入探索 LLMs 和智能体 AI 的原理与实践，帮助学员在快速发展的 AI 领域占据领先地位。 **核心内容：** * **LLM 基础与模型评估：** 学习 LLMs 的基本概念，并掌握使用 LM Studio 等工具进行模型基准测试的方法。 * **主流闭源 API 应用：** 深入学习如何使用 OpenAI、Gemini、Claude 等主流闭源 API，包括系统消息与用户消息的构建、Token 机制的理解以及输出控制，以开发文本生成器和视觉驱动的卡路里追踪器等项目。 * **开源 LLM 微调：** 掌握在 Hugging Face 上利用 LoRA 和 PEFT 等先进技术微调开源 LLM 的方法。 * **AI 驱动的网络应用开发：** 学习使用 Gradio 构建交互式流式应用和智能 AI 导师等，提升用户体验。 * **高级提示工程：** 精通零样本、少样本和思维链等提示工程技术，实现稳定可控的输出。 * **检索增强生成 (RAG) 与嵌入：** 学习构建 RAG 流水线，并运用嵌入技术实现语义搜索和知识检索。 * **下一代 AI Agents 开发：** 掌握使用 AutoGen、OpenAI Agents SDK、LangGraph、n8n 和 MCP 等框架构建能够与外部系统、API 和工具交互的自主 AI Agents。 * **项目驱动学习：** 课程强调动手实践，通过构建实际可用的项目来巩固学习成果，为实际部署做好准备。 **目标学员：** 软件工程师、数据科学家、AI 研究员、技术领导者和希望进入 LLM 及 AI 智能体开发领域的专业人士。 **课程特色：** * **由知名 AI 教授 Ryan Ahmed 讲授：** Dr. Ahmed 拥有丰富的教学经验，已在全球范围内教授超过五十万名学员。 * **项目驱动式学习：** 从第一天起就专注于构建实际项目，提供分步指导。 * **社区互动与指导：** 提供社区支持、导师指导和持续反馈。 * **紧跟行业前沿：** 帮助学员掌握最前沿的 LLM 和 AI 智能体技术。 **总之，这门课程为希望在 AI 革命中处于领先地位的学习者提供了一个全面的学习路径，通过实践项目深入理解并掌握 LLMs 和 AI 智能体的开发与应用。**
The AI revolution is accelerating at an unimaginable pace, and those who master Large Language Models (LLMs) and Agentic AI will define the future of technology. The "Large Language Models (LLMs) & AI Agents Masterclass" is an intensive hands-on program designed to equip professionals and enthusiasts with the skills needed to build real-world AI applications. Whether you're a developer, data scientist, researcher, or technology leader, this bootcamp provides the tools and knowledge to navigate and innovate in this fast-evolving space confidently.You will begin by exploring the foundations of LLMs and agent frameworks, including how to benchmark models using LM Studio. The course then guides you through working with powerful closed-source APIs from providers like OpenAI, Gemini, and Claude. You will learn how to structure system and user messages, understand tokenization, and control outputs to build projects such as AI-powered text generators and vision-enabled calorie trackers.As you advance, you'll dive into the world of open-source LLMs. You will fine-tune models on Hugging Face using state-of-the-art techniques like LoRA and Parameter-Efficient Fine-Tuning (PEFT). Alongside this, you'll gain experience designing AI-powered web applications using Gradio, creating interactive streaming apps, and building intelligent AI tutors.A core component of the bootcamp focuses on mastering prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting techniques to achieve consistent and controlled outputs. You'll also explore advanced capabilities such as building Retrieval-Augmented Generation (RAG) pipelines and working with embeddings for semantic search and knowledge retrieval.The program concludes with the development of next-generation AI agents. You will use frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP to create autonomous agents capable of interacting with external systems, APIs, and other digital tools. Each module emphasizes building practical, working projects that reinforce the learning objectives and prepare you for real-world deployment.This bootcamp is led by Dr. Ryan Ahmed, a highly experienced AI professor and educator who has taught over half a million learners globally. It is ideal for software engineers, data scientists, AI researchers, and technology professionals who want to break into the LLM and AI agent development space.The format of the program emphasizes project-based learning with step-by-step guidance, community interaction, and access to mentorship and continuous feedback. From Day 1, you'll be building real-world applications, positioning yourself at the forefront of this transformative field.Enroll today, and I look forward to seeing you inside!
