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所在平台: Udemy |
课程主页: https://www.udemy.com/course/llm-engineering/
课程评论：没有评论
课程名称：AI与大型语言模型（LLM）工程精通：生成性人工智能（GenAI），检索增强生成（RAG）完整指南 课程概述：本课程旨在培养AI工程师，深入掌握大型语言模型（LLM）、生成性人工智能、检索增强生成（RAG）、AI代理及向量数据库。无论您是初学者还是有经验的开发者，本课程都将从零开始，帮助您构建真实的AI驱动应用程序。课程结合深入的理论洞察与实操项目，确保您理解AI模型架构、开发与优化策略及实际应用。 学习内容： - 深度学习与机器学习基础：了解神经网络、激活函数、变换器及AI的演变，学习现代AI模型如何训练、优化和部署于实际应用。 - 大型语言模型（LLM）与基于变换器的AI：深入探索OpenAI模型及开源AI框架，从零开始构建和部署定制化的LLM应用程序。 - 检索增强生成（RAG）与AI驱动的搜索：学习如何通过向量嵌入、FAISS及ChromaDB来检索知识，为AI驱动的文档搜索和检索实施可扩展的RAG系统。 - LangChain与AI代理工作流：构建能够自主检索、处理和生成信息的AI代理。 - 微调LLM与开源AI模型：微调OpenAI和LoRA模型以实现定制应用，学习如何优化LLM以提高准确性、效率及可扩展性。 - 向量数据库与AI驱动知识检索：使用FAISS、ChromaDB及基于向量的AI搜索工作流程，开发能够检索和处理结构化与非结构化数据的AI系统。 - 实践AI部署与真实应用：构建AI驱动的聊天机器人、多模态RAG应用和AI自动化工具。 适合人群： - 渴望成为AI工程师及数据科学家，欲掌握LLM、AI检索和搜索系统的学习者。 - 希望将AI整合进应用程序的开发者与软件工程师。 - 希望深入探讨AI、生成性AI和AI驱动搜索的机器学习爱好者。 - 希望构建AI驱动的SaaS产品的技术企业家和产品经理。 - 希望有结构化、逐步提升路径的学生及AI初学者。 课程要求： - 不需要任何AI经验，课程将从初学者教起。 - 基础Python知识（推荐但并非必需，课程包括Python基础内容）。 - 了解API和JSON有帮助但并不是强制性的。 - 需要有电脑和互联网接入以进行实操开发。 为什么选择本课程？ - 全面的AI培训：涵盖LLM、RAG、AI代理、向量数据库和微调。 - 动手项目：每个概念通过真实世界的AI应用进行巩固。 - 最新且实用：学习顶尖科技公司使用的前沿AI技术与工具。 - 从零到英雄的方法：设计为完完全全的初学者和有经验的开发者皆可参与。 今天就来掌握AI工程，成为生成性AI、LLM和RAG的专家吧！
Become an AI Engineer and master Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and vector databases in this comprehensive hands-on course. Whether a beginner or an experienced developer, this course will take you from zero to hero in building real-world AI-powered applications.This course combines deep theoretical insights with hands-on projects, ensuring you understand AI model architectures, development and optimization strategies, and practical applications.What You'll Learn:Deep Learning & Machine Learning FoundationsUnderstand neural networks, activation functions, transformers, and the evolution of AI.Learn how modern AI models are trained, optimized, and deployed in real-world applications.Master Large Language Models (LLMs) & Transformer-Based AIDeep dive into OpenAI models, and open-source AI frameworks.Build and deploy custom LLM-powered applications from scratch.Retrieval-Augmented Generation (RAG) & AI-Powered SearchLearn how AI retrieves knowledge using vector embeddings, FAISS, and ChromaDB.Implement scalable RAG systems for AI-powered document search and retrieval.LangChain & AI Agent WorkflowsBuild AI agents that autonomously retrieve, process, and generate information.Fine-Tuning LLMs & Open-Source AI ModelsFine-tune OpenAI, and LoRA models for custom applications.Learn how to optimize LLMs for better accuracy, efficiency, and scalability.Vector Databases & AI-Driven Knowledge RetrievalWork with FAISS, ChromaDB, and vector-based AI search workflows.Develop AI systems that retrieve and process structured & unstructured data.Hands-on with AI Deployment & Real-World ApplicationsBuild AI-powered chatbots, multimodal RAG applications, and AI automation tools.Who Should Take This Course?Aspiring AI Engineers & Data Scientists - Looking to master LLMs, AI retrieval, and search systems.Developers & Software Engineers - Who want to integrate AI into their applications.Machine Learning Enthusiasts - Seeking a deep dive into AI, GenAI, and AI-powered search.Tech Entrepreneurs & Product Managers - Wanting to build AI-driven SaaS products.Students & AI Beginners - Who need a structured, step-by-step path from beginner to expert.Course RequirementsNo prior AI experience required - the course takes you from beginner to expert.Basic Python knowledge (recommended but not required - Python Fundamentals Included in the course).Familiarity with APIs & JSON is helpful but not mandatory.A computer with internet access for hands-on development.Why Take This Course?Comprehensive AI Training: Covers LLMs, RAG, AI Agents, Vector Databases, Fine-Tuning.Hands-On Projects: Every concept is reinforced with real-world AI applications.Up-to-Date & Practical: Learn cutting-edge AI techniques & tools used in top tech companies.Zero to Hero Approach: Designed for absolute beginners & experienced developers alike.Master AI Engineering and become an expert in GenAI, LLMs, and RAG today.
