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

所在平台: Udemy

课程主页: https://www.udemy.com/course/oci-generative-ai-professional-2024/

课程评论:没有评论

第一个写评论        关注课程

课程简介

课程名称:1Z0-1127-24:成为OCI生成性AI专家2024 概述:Oracle Cloud Infrastructure 2024生成性AI专业认证(1Z0-1127-24)旨在为具有机器学习和深度学习基本知识、熟悉Python和OCI的软体开发人员、机器学习/AI工程师和生成性AI专业人员提供培训。获得此认证的学员将掌握大语言模型(LLM)架构,并熟练使用OCI生成性AI服务(如RAG和LangChain)开发、追踪、评估和部署LLM应用程序。 你将学习的技能: 1. 大语言模型(LLMs)基础:LLM基本概念、LLM架构、提示工程、微调技术、代码模型基础、多模态LLMs和语言代理。 2. OCI生成性AI深入分析:预训练基础模型(生成、摘要、嵌入)、灵活微调(包括T-Few技术)、模型推理、专用AI集群、生成性AI安全架构。 3. 使用OCI生成性AI构建对话聊天机器人:了解RAG、向量数据库、语义搜索,使用LangChain框架(提示、模型、内存、链)构建聊天机器人,追踪和评估聊天机器人并在OCI上部署。 课程内容: - LLM的基本原理:了解LLM基础、LLM架构、提示设计、微调基本知识,以及代码模型、多模态和语言代理基础。 - 使用OCI生成性AI服务:开设有关OCI生成性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,创建专用AI集群用于微调和推理,利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。 - 使用OCI生成性AI服务构建LLM应用:理解检索增强生成(RAG)概念,解释向量数据库和语义搜索,构建LangChain模型(提示、内存和链),建立LLM应用程序,追踪和评估该应用程序并进行部署。 该课程将为希望在生成性AI领域提升技能的IT专业人士提供全面的培训,帮助他们在此快速发展的技术领域中获得竞争优势。

课程评论(0条)

课程详情

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.Skills you will learn: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 LangChain models, prompts, memory, and chainsBuild an LLM application with RAG and LangChainTrace and evaluate an LLM applicationDeploy an LLM application

课程标签

0人关注该课程

主题相关的课程