1Z0-1127-24: Become an OCI Generative AI Professional 2024

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课程名称:1Z0-1127-24:成为OCI生成AI专家2024 概述: Oracle云基础设施2024年的生成AI专业认证(1Z0-1127-24)旨在为拥有机器学习和深度学习基础知识、熟悉Python和OCI的程序开发人员、机器学习/AI工程师和生成AI专业人士提供。获得此认证的学生将对大语言模型(LLM)架构有深入理解,并擅长使用OCI生成AI服务(如RAG和LangChain)来构建、跟踪、评估和部署LLM应用程序。 课程内容包括: 1. 大语言模型(LLM)的基础知识: - LLM基础知识 - LLM架构 - 提示工程 - 精调技术 - 代码模型的基本概念 - 多模态LLM和语言代理 2. OCI生成AI深度探索: - 预训练基础模型(生成、摘要、嵌入) - 灵活精调(包括T-Few技术) - 模型推理 - 专用AI集群 - 生成AI安全架构 3. 使用OCI生成AI构建对话聊天机器人: - 理解RAG、向量数据库和语义搜索 - 使用LangChain框架构建聊天机器人(提示、模型、记忆、链) - 跟踪和评估聊天机器人并在OCI上部署 4. 其他学习内容: - LLM的基本原理和架构 - 使用OCI生成AI服务的基础知识 - 使用预训练基础模型进行生成、摘要和嵌入 - 创建用于精调和推理的专用AI集群 - 使用自定义数据集精调基础模型 - 创建和使用模型端点进行推理 - 探索OCI生成AI安全架构 - 理解检索增强生成(RAG)和向量数据库的概念 - 构建带有RAG和LangChain的LLM应用程序 - 跟踪、评估并部署LLM应用程序 此课程非常适合希望在生成AI领域提升技能的专业人士,帮助他们掌握构建和部署LLM应用的关键技术和方法。

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The Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) certification is designed for Software Developers, Machine Learning/AI Engineers, Gen AI Professionals who have a basic understanding of Machine Learning and Deep Learning concepts, familiarity with Python and OCI.Students who earn this credential have a strong understanding of the Large Language Model (LLM) architecture and are skilled at using OCI Generative AI Services, such as RAG and LangChain, to build, trace, evaluate, and deploy LLM applications.It covers below topics: Fundamentals of Large Language Models (LLMs): LLM basics, LLM architectures, Prompt Engineering, Fine-tuning techniques, fundamentals of code models, Multi-modal LLMs and Language AgentsOCI Generative AI Deep-Dive: Pretrained Foundational Models (Generation, Summarization, Embedding), Flexible Fine-tuning including T-Few techniques, Model Inference, Dedicated AI Clusters, Generative AI Security architectureBuild a Conversational Chatbot with OCI Generative AI: Understand RAG, Vector Databases, Semantic Search, build chatbot using LangChain Framework (Prompts, Models, Memory, Chains), Trace and Evaluate chatbot and deploy on OCIFundamentals of Large Language Models (LLMs) 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 ServiceExplain 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 an LLM Application with OCI Generative AI ServiceUnderstand Retrieval Augmented Generation (RAG) conceptsExplain vector database conceptsExplain semantic search conceptsBuild Lang Chain models, prompts, memory, and chainsBuild an LLM application with RAG and Lang ChainTrace and evaluate an LLM applicationDeploy an LLM application.

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