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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-on-google-cloud/
课程评论：没有评论
课程名称：2025 AI大师班：大型语言模型（LLM）、检索增强生成（RAG）、AI代理和可解释AI（XAI） 课程概述： 在这个全面更新的课程中，您将跨越机器学习、深度学习、大型语言模型（LLM）、检索增强生成（RAG）、AI代理以及可解释AI（XAI）等多个领域，掌握前沿的AI知识。课程采用实践导向的教学方式，鼓励学员在课程期间或讲座后立即进行实践，以建立实际的技能。 课程内容共分为21个可管理的学习日，设计合理，不会让学员感到压力，无论您是初学者还是经验丰富的专业人士，都可以从基础开始学习，或直接跳入感兴趣的高级主题。讲师是一位行业资深人士及AI初创公司的创始人，课程内容结合了真实世界的见解和基于项目的学习。 该课程已成功运行三年，并定期更新以反映最新进展，涵盖了尖端主题如可解释AI、谷歌Vertex上的AutoML、RAG管道和AI代理框架。如果您正在寻找一个完整、现代且以行业为导向的AI学习体验，这就是您的理想起点。立刻报名，打造符合未来需求的AI专业知识！ 您将学习到： - 建立坚实的机器学习和深度学习基础 - 理解并微调大型语言模型（LLMs）以适应各种应用 - 设计和实施检索增强生成（RAG）管道 - 探索并创建AI代理 - 应用可解释AI（XAI）技术以增强模型预测的可信度 - 使用谷歌Vertex AI的AutoML来自动化和加速模型构建 - 开展涉及真实世界数据集的实用项目，涵盖机器学习、深度学习及大型语言模型的应用案例 - 及时了解最新的AI趋势和未来方向
Course DescriptionStay ahead in the world of AI with this completely updated course covering. Machine Learning. Deep Learning. Large Language Models (LLMs). Retrieval-Augmented Generation (RAG). AI Agents. Explainable AI (XAI). AutoML using Google Vertex AI This is a hands-on course, designed for active learning. You are encouraged to practice along with the trainer during sessions or immediately after each lecture to build real, practical skills.The content is organized into 21 manageable days, allowing you to learn systematically without feeling overwhelmed. Whether you're a beginner or an experienced professional, you can start from the basics or jump straight to the advanced sections that interest you most.The course is taught by an industry veteran and founder of an AI startup, bringing real-world insights and project-based learning to every module.Running successfully for the past three years, the course has been regularly refreshed to reflect the latest advancements - including cutting-edge topics like Explainable AI, AutoML on Google Vertex, RAG pipelines, and AI Agent frameworks.If you're looking for a complete, modern, and industry-focused AI learning experience - this is your perfect starting point.Enroll today and build the AI expertise the future demands!What you'll learn:Build a strong foundation in Machine Learning and Deep Learning conceptsUnderstand and fine-tune Large Language Models (LLMs) for various applicationsDesign and implement Retrieval-Augmented Generation (RAG) pipelinesExplore and create AI Agents Apply Explainable AI (XAI) techniques to build trust in model predictionsUse AutoML with Google Vertex AI to automate and accelerate model buildingDevelop hands-on projects with real-world datasets across ML, DL, and LLM use casesStay updated with the latest AI trends and future directions
