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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ace-the-oci-2024-generative-ai-exam-1z0-1127-24/
课程评论：没有评论
课程名称：通过OCI 2024生成性AI考试（1Z0-1127-24）取得成功 概述：本课程旨在帮助学员为Oracle云基础设施2024生成性AI专业认证（1Z0-1127-24）做好充分准备。课程提供了一系列全面的练习测试，帮助学员掌握考试目标，并增强信心。每道题目均附有详细解释，以确保对相关概念的深入理解。通过本课程，您可以提升备考水平，大幅提高通过认证考试的机会。练习测试涵盖了所有重要主题和技能，包括Oracle云基础设施服务、生成性AI概念及其实际应用。我们精心设计的题目模拟真实考试环境，帮助学员熟悉考试格式及题型。 此外，我们还提供宝贵的考试技巧和策略，包括有效的考试技巧、时间管理以及应对挑战性问题的方法。我们的目标是确保您在考试当天充分准备、充满信心。报名后，您将获得丰富的学习资源，并成为一个学习者社区的一部分，在这里可以与其他备考学员讨论和分享见解。迎接您的职业旅程的下一步，利用我们的综合练习测试课程实现您的认证目标。 课程结构：本课程包含379道题目，分布在多个主题和备考考试中。 考试目标及重要性权重： - 20%：主题1 - 45%：主题2和3 - 35%：主题4 课程内容包括： 1. 大语言模型（LLMs）的基本原理（58道题） - 解释LLMs的基本原理 - 理解LLM架构 - 设计和使用LLMs的提示 - 理解LLM微调 - 理解代码模型、多模态和语言代理的基本概念 2. 使用OCI生成性AI服务（88道题） - 解释OCI生成性AI服务的基础 - 使用预训练基础模型进行生成、摘要和嵌入 - 创建专用AI集群以进行微调和推理 - 使用自定义数据集微调基础模型 - 创建和使用模型端点进行推理 - 探索OCI生成性AI安全架构 3. LLM应用的构建模块（28道题） - 理解检索增强生成（RAG）概念 - 解释向量数据库概念 - 解释语义搜索概念 4. 使用OCI生成性AI服务构建LLM应用（32道题） - 构建LangChain模型、提示、内存和链 - 使用RAG和LangChain构建LLM应用 - 跟踪和评估LLM应用 - 部署LLM应用 5. 综合考试准备1（65道题） 6. 综合考试准备2（108道题） 推荐：我强烈建议您注册Oracle提供的免费课程，该课程包括动手演示并提供实践学习的实验室环境。 致谢：我衷心感谢在Oracle大学的导师们，他们的指导使我能够帮助其他学生进行学习。特别感谢： - Rohit Rahi，CSS OU云交付副总裁，Oracle大学 - Ari Kobren，研究科学家，Oracle - Himanshu Raj，高级AI/ML讲师，Oracle大学 - Hemant Gahankari，高级首席OCI讲师，Oracle大学
Prepare for the Oracle Cloud Infrastructure 2024 Generative AI Professional certification (1Z0-1127-24) with our comprehensive practice tests. This course offers a robust collection of practice questions designed to help you master the exam objectives and build confidence. Each question is accompanied by detailed explanations, ensuring a thorough understanding of the concepts. Enroll now to enhance your preparation and significantly boost your chances of passing the certification exam with flying colors.Our practice tests cover all the essential topics and skills, including Oracle Cloud Infrastructure services, generative AI concepts, and their practical applications. We have meticulously crafted questions that simulate the real exam environment, helping you become familiar with the format and types of questions you will encounter.In addition to practice questions, we provide valuable tips and strategies for effective test-taking, time management, and tackling challenging questions. Our goal is to ensure that you are fully prepared and confident on exam day.By enrolling in this course, you will gain access to a wealth of resources that will support your study process. You will also become part of a community of learners where you can discuss and share insights with others preparing for the same certification. Take the next step in your professional journey and achieve your certification goals with our comprehensive practice test course.Course StructureThis course includes a total of 379 questions, distributed across various topics and preparatory exams.Exam Objectives and Weighting:20% for 1, 45% for 2 & 3, 35% for 4Fundamentals of Large Language Models (LLMs) (58 Questions)Explain the fundamentals of LLMsUnderstand LLM architecturesDesign and use prompts for LLMsUnderstand LLM fine-tuningUnderstand the fundamentals of code models, multi-modal, and language agentsUsing OCI Generative AI Service (88 Questions)Explain the fundamentals of OCI Generative AI serviceUse pretrained foundational models for Generation, Summarization, and EmbeddingCreate dedicated AI clusters for fine-tuning and inferenceFine-tune base model with custom datasetCreate and use model endpoints for inferenceExplore OCI Generative AI security architectureBuilding Blocks for an LLM Application (28 Questions)Understand Retrieval Augmented Generation (RAG) conceptsExplain vector database conceptsExplain semantic search conceptsBuilding an LLM Application with OCI Generative AI Service (32 Questions)Build LangChain models, prompts, memory, and chainsBuild an LLM application with RAG and LangChainTrace and evaluate an LLM applicationDeploy an LLM applicationComprehensive Exam Prep 1 (65 Questions)Comprehensive Exam Prep 2 (108 Questions)The objective-type questions and answers guide you through the topics sequentially, following the syllabus. After exhaustive coverage, you'll be thoroughly prepared with actual mock exams.Additional Recommendations:I highly recommend enrolling in the free course offered by Oracle, which includes hands-on demos and provides access to a lab environment for practical learning.Acknowledgments:I would like to express my sincere gratitude to my mentors at Oracle University, whose guidance has enabled me to assist other students in their learning journey.Special Thanks To:Rohit Rahi, VP, CSS OU Cloud Delivery, Oracle UniversityAri Kobren, Research Scientist, OracleHimanshu Raj, Senior Instructor AI/ML, Oracle UniversityHemant Gahankari, Senior Principal OCI Instructor, Oracle University
