در حال حاضر محصولی در سبد خرید شما وجود ندارد.
Earning a 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 second course in the certification prep series, instructor Noah Gift covers topics relating to architecting machine learning solutions. He shows you how to design reliable, scalable, and highly-available ML solutions, covering topics like continuous delivery, reproducible workflow, and continuous integration. Noah then explains how to choose the appropriate Google Cloud hardware components for your ML solutions.
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 Advanced Networking – Specialty (ANS-C01) Cert Prep: 3 Network Management and Operation
Azure Data Engineer Associate (DP-203) Cert Prep: 2 Design and Develop Data Processing
اتومات کردن Jenkins به کمک Python
ساخت Data Pipeline ها
کدنویسی Swift همراه با یادگیری استفاده از CreateML
ادغام مداوم C# و کار با Github Actions and Codespaces
Infrastructure as Code : راه اندازی بوسیله CDK و AWS Lambda
AWS Certified Security – Specialty (SCS-C02) Cert Prep: 1 Threat Detection and Incident Response
Google Cloud Professional Machine Learning Engineer Cert Prep: 6 Monitoring, Optimizing, and Maintaining ML Solutions
شروع به کار با Swift