در حال حاضر محصولی در سبد خرید شما وجود ندارد.

Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. Earning the Google Cloud Professional Data Engineer certification confirms that you’re able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. In this course, Noah Gift prepares you for the first part of the exam, focusing on designing data processing systems. He covers topics on data warehousing and processions migration, storage technology selection, data pipeline design, and data processing solution design.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

Azure Data Engineer Associate (DP-203) Cert Prep: 4 Monitor and Optimize Data Storage and Data Processing

Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines

بسته بندی MLOPs : یادگیری کامل HuggingFace و همچنین Azure Container Registry

کورس MLOps : داکر و HuggingFace

AWS Solutions Architect Professional (SAP-C02) Cert Prep: 1 Design Solutions for Organizational Complexity
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کار بر روی داده ها بوسیله زبان Python

AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 3 Modeling

AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 5 Security

ساخت و استفاده از Python Decorator ها

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