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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-ai-build-train-and-deploy-advanced-ai-projects/
课程评论：没有评论
课程名称：动手实践人工智能：构建、训练和部署高级人工智能项目 课程概述：通过本综合性、基于项目的课程，解锁人工智能的强大力量，专为中级至高级学习者设计。无论你是希望提升自己的AI技能，还是获得实际项目的动手经验，这门课程都提供了掌握AI应用所需的一切。 学习内容： 项目1：与LLMs和FAISS的检索增强生成（RAG） - 学习RAG架构基础 - 区分LLM的预训练与微调 - 实现Llama2与FAISS向量数据库 - 详细的代码讲解与实际应用 项目2：使用RLHF训练自己的ChatGPT - 理解来自人类反馈的强化学习（RLHF） - 深入研究RLHF技术 - 在Vertex AI上实现RLHF - 评估与优化ChatGPT模型 项目3：构建和微调大型语言模型（LLMs） - 探索RNN、LSTM和注意力机制 - 精通Tokenizers和编码-解码架构 - 深入了解Transformer模型及其变体 - 实践提示工程的代码 walkthrough 项目4：使用自编码器进行异常检测 - 开发端到端的异常检测系统 - 实现自编码器进行有效的异常检测 - 使用提供的数据集进行编码实践 项目5：使用Langchain与GPT构建Streamlit聊天机器人 - 创建互动聊天机器人与Streamlit - 整合Langchain与GPT进行高级会话AI - 提供逐步的编码指导与数据处理 课程特点： - 动手实践项目：通过真实世界的AI应用巩固学习 - 专家指导：逐步说明与深入探讨复杂主题 - 综合资源：提供代码、数据和额外材料 - 社区支持：加入我们的社区进行合作与问题解决 适用人群： - 拥有中级人工智能与机器学习理解的爱好者 - 希望构建和部署高级AI应用的开发者 - 旨在通过实践项目提升AI技能的专业人士 加入我们，踏上这个激动人心的旅程，通过动手实践和真实世界项目掌握AI。立即注册，开始建设AI的未来！
Unlock the power of artificial intelligence with our comprehensive, project-based course designed for intermediate to advanced learners. Whether you're looking to enhance your AI skills or gain hands-on experience with real-world projects, this course has everything you need to master AI applications.What You'll Learn:Project 1: Retrieval-Augmented Generation (RAG) with LLMs and FAISSLearn RAG architecture fundamentalsDifferentiate between LLM pretraining and fine-tuningImplement Llama2 with the FAISS Vector DatabaseDetailed code walkthroughs and practical applicationsProject 2: Train Your Own ChatGPT with RLHFUnderstand Reinforcement Learning from Human Feedback (RLHF)Deep dive into RLHF techniquesImplement RLHF on VertexAIEvaluate and optimize your ChatGPT modelProject 3: Building and Fine-Tuning Large Language Models (LLMs)Explore RNNs, LSTMs, and Attention mechanismsMaster Tokenizers and Encoder-Decoder architecturesDive into Transformer models and their variationsPractical walkthroughs on prompt engineeringProject 4: Anomaly Detection Using AutoencodersDevelop an end-to-end anomaly detection systemImplement autoencoders for effective anomaly detectionHands-on coding with provided datasetsProject 5: Build a Streamlit Chatbot Using Langchain and GPTCreate interactive chatbots with StreamlitIntegrate Langchain and GPT for advanced conversational AIStep-by-step coding guidance and data handlingCourse Features:Hands-On Projects: Real-world AI applications to solidify your learningExpert Guidance: Step-by-step instructions and deep dives into complex topicsComprehensive Resources: Code, data, and additional materials providedCommunity Support: Join our community for collaboration and problem-solvingWho This Course Is For:AI enthusiasts with an intermediate understanding of AI and machine learningDevelopers looking to build and deploy advanced AI applicationsProfessionals aiming to enhance their AI skill set with practical projectsJoin us in this exciting journey to master AI through hands-on, real-world projects. Enroll now and start building the future of AI today!
