در حال حاضر محصولی در سبد خرید شما وجود ندارد.
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. In this course, Noah Gift prepares you for the section of the exam that tests your knowledge on operationalizing machine learning models. Learn about leveraging pre-built ML models as a service, deploying an ML pipeline, choosing the appropriate training and serving infrastructure, and measuring, monitoring, and troubleshooting machine learning models.
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.
AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations
شش عنصر کلیدی MLOps
آژور در GitHub Actions
جلو بردن عملیات یادگیری ماشینی ( MLOPs ) بوسیله MLRun
ساخت Data Pipeline ها
Google Cloud Professional Machine Learning Engineer Cert Prep: 3 Designing Data Preparation and Processing Systems
AWS Certified Solutions Architect – Professional (SAP-C02) Cert Prep: 4 Accelerate Workload Migration and Modernization
Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems
Google Cloud Professional Data Engineer Cert Prep: 2 Building and Operationalizing Data Processing Systems
کورس یادگیری کامل AWS CP