در حال حاضر محصولی در سبد خرید شما وجود ندارد.
Earning the Google Professional Machine Learning Engineer certification demonstrates your ability to design, build, and productionize machine learning models to solve business challenges using Google Cloud technologies, and knowledge of proven ML models and techniques.
In this fifth course in the certification prep series, instructor Noah Gift covers core concepts relating to automating and orchestrating ML pipelines. Noah explains how to design and implement training pipelines, including how to engineer prompts for Google BigQuery with ChatGPT4. Then, learn about implementing serving pipelines, as Noah explains some of the characteristics of GPU-enabled Docker containers, gives a Rust PyTorch microservice walkthrough, and demos a Rust pre-trained PyTorch microservice.
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.
بسته بندی MLOPs : یادگیری کامل HuggingFace و همچنین Azure Container Registry
AWS Solutions Architect Professional (SAP-C02) Cert Prep: 1 Design Solutions for Organizational Complexity
ملزومات MLOP با Azure: 2 Databricks MLFlow و ردیابی MLFlow
AWS Solutions Architect Professional (SAP-C02) Cert Prep: 2 Design for New Solutions
ساخت Data Pipeline ها
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 2 Storage and Data Management
Google Cloud Professional Machine Learning Engineer Cert Prep: 6 Monitoring, Optimizing, and Maintaining ML Solutions
پیاده سازی MLOps بوسیله AutoML, KaizenML
متخصص کلود AWS شوید : دوره حرفه ای برنامه ریزی برای مهاجرت SAP-C01
Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems