Google Cloud Professional Data Engineer Cert Prep: 3 Operationalizing Machine Learning Models / with Noah Gift.
Prepare for the Google Cloud Professional Data Engineer certification exam’s third section, operationalizing machine learning models.
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | |
| Format: | Online tutorial |
| Language: | English |
| Published: |
Carpentia, CA :
LinkedIn Learning,
[2023]
|
| Series: | Lynda.com online tutorials.
LinkedIn Learning online tutorials. |
| Subjects: | |
| Online Access: | View course details on linkedin.com/learning thumbnail |
| Summary: | Prepare for the Google Cloud Professional Data Engineer certification exam’s third section, operationalizing machine learning models. 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. LinkedIn supplied subject categories: Technology. |
|---|---|
| Item Description: | LinkedIn Learning (also known as Lynda.com) online tutorial. Online tutorials. |
| Physical Description: | 1 online tutorial (58 min.) : digital, sound, colour |
| Playing Time: | 00:58:12 |
| Format: | Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. |