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所在平台: Udemy |
课程主页: https://www.udemy.com/course/1z0-1122-23-oci-2023-ai-foundation-trial/
课程评论：没有评论
课程名称：1Z0-1122-23 Oracle Cloud Infrastructure 2023 AI Foundation 课程概述： 此学习路径旨在为希望掌握人工智能（AI）和机器学习（ML）基础知识的个人提供培训，适用于云计算初学者、解决方案架构师、开发者、DevOps工程师、安全工程师/架构师、系统管理员、云工程师、数据工程师和数据科学家/机器学习工程师等岗位。 在本课程中，您将学习到以下内容： - 常见的AI术语，包括机器学习、深度学习、数据科学、神经网络等。 - Oracle云基础设施（OCI）中的AI服务和AI基础设施。 - 生成性AI的基础知识，包括语言模型（LLM）、生成对抗网络（GAN）和变换器（Transformers）。 - AI和ML的最佳实践。 通过本学习路径，您将深入了解AI和ML的基本概念，探索如何利用OCI的AI服务来完成图像识别、自然语言处理和预测分析等任务。此外，您还将探讨生成性AI的基本概念及其在图像合成和文本生成等应用中的使用。 本课程还将提供关于AI和ML最佳实践的见解，包括数据准备、模型训练和评估的处理方式，以及在生产环境中部署和扩展AI和ML解决方案时的考虑因素。 完成本学习路径后，您将具备扎实的AI和ML概念基础和实际技能，能够利用基于云的AI服务、生成性AI技术，并实施AI和ML最佳实践。这将使您能够追求在AI和ML领域的多种角色，如数据工程师、数据科学家、机器学习工程师或AI解决方案架构师。
1Z0-1122-23 Oracle Cloud Infrastructure 2023 AI Foundations AssociateJob Roles: Cloud Beginners, Solution Architect, Developer, DevOps Engineer, Security Engineer/Architect, Sys Admin, Cloud Engineer, Data Engineer, Data Scientist/ML EngineerThis learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML).In this learning path, you will learn to:Common AI terminology, including machine learning, deep learning, data science, neural networks etcOCI AI services and AI infrastructureGenerative AI basics including LLM, GAN, and TransformersAI and ML best practicesIn addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML). Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more.You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development. This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics.Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers. You will learn how these techniques are used in various applications, such as image synthesis and text generation.Throughout the learning path, you will also gain insights into AI and ML best practices. This includes understanding how to approach data preparation, model training, and evaluation. You will also explore considerations for deploying and scaling AI and ML solutions in production environments.By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices. This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect.
