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所在平台: Udemy |
课程主页: https://www.udemy.com/course/1z0-1110-23/
课程评论：没有评论
## 课程总结：1Z0-1110-23：Oracle OCI 数据科学专业人员 2023 (Coursera) 本 Coursera 课程（1Z0-1110-23：Oracle OCI 数据科学专业人员 2023）旨在为数据科学家和 AI/ML 工程师提供在 Oracle Cloud Infrastructure (OCI) 上进行数据科学工作的全面培训。 **课程核心内容：** * **识别 OCI 服务以构建 ML 解决方案：** 学习如何识别和利用 OCI 的各项服务，为特定的业务场景定制机器学习解决方案，并了解 OCI 生态系统在数据科学项目中的应用。 * **ML 和云最佳实践：** 将机器学习操作与云原生方法相结合，学习如何优化 ML 工作流程，并遵循行业最佳实践。 * **OCI 数据科学平台：** 深入掌握 Oracle Cloud Infrastructure Data Science 的使用，包括数据摄取、模型开发、训练、评估、模型目录管理、模型部署以及机器学习流水线的自动化。 * **MLOps 实践：** 应用 MLOps 实践来优化机器学习生命周期，学习如何在生产环境中有效管理和监控机器学习模型，确保其持续有效性。 * **OCI 数据与 AI 服务：** 探索如何利用 OCI 的数据和 AI 服务构建端到端机器学习解决方案，并通过 Oracle 的数据和 AI 能力提升数据科学项目的成效。 **课程目标：** 完成本课程并获得 1Z0-1110-23 认证，将证明数据科学家和 AI/ML 工程师在利用 OCI 数据科学和 OCI 服务构建和部署机器学习模型方面的专业能力。该认证将验证学员创建高效、可扩展且准确的机器学习解决方案以应对现实世界业务挑战的能力。最终，本课程将赋能专业人士在 OCI 环境中专注于数据科学和人工智能的角色，为数据驱动的决策和业务成功做出贡献。
The 1Z0-1110-23 Oracle Cloud Infrastructure 2023 Data Science Professional certification learning path is tailored for Data Scientists and AI/ML Engineers seeking to harness the power of Oracle Cloud Infrastructure (OCI) Data Science. This program equips individuals with the skills and knowledge required to excel in the field of data science, from data ingestion to model deployment, using Python and open-source libraries while leveraging OCI services.Throughout this learning path, participants will gain proficiency in the following key areas:Identifying OCI Services for ML Solutions: Learn how to identify and leverage OCI services to implement machine learning solutions tailored to specific business use cases. Understand the OCI ecosystem and its capabilities in supporting data science projects.ML and Cloud Best Practices: Incorporate machine learning and cloud best practices into your workflows. Discover how to optimize ML processes and ensure alignment with cloud-native methodologies.OCI Data Science: Master the use of Oracle Cloud Infrastructure Data Science. Acquire hands-on experience in data ingestion, model development, training, model evaluation, model catalog management, model deployment, and the automation of machine learning pipelines.MLOps Practices: Apply MLOps practices to streamline the machine learning lifecycle. Learn how to efficiently manage and monitor machine learning models in production, ensuring their continued effectiveness.OCI Data & AI Services: Explore how to apply OCI Data and AI services to create end-to-end machine learning solutions. Leverage Oracle's data and AI capabilities to enhance your data science projects.By completing this learning path and achieving the 1Z0-1110-23 certification, Data Scientists and AI/ML Engineers can demonstrate their proficiency in leveraging OCI Data Science and OCI services to build and deploy machine learning models. This certification validates their ability to create efficient, scalable, and accurate machine learning solutions that address real-world business challenges. Ultimately, this program empowers professionals to excel in roles focused on data science and artificial intelligence within Oracle Cloud Infrastructure, contributing to data-driven decision-making and business success.
