The Google Cloud team
recently announced
a new certification in Machine Learning for the Google Cloud. This is great
news for those seeking to expand (and demonstrate) their skills in the
area.
Why a Machine Learning certification?
Machine learning is already a reality as more than two-thirds of organizations already use it. That means lots of jobs for those in the area in the future. Learning ML now also means jobs today since finding employees with the right ML skills is one of the top concerns for IT leaders in 2020.
Becoming a Google Cloud Machine Learning certified
To become a Machine Learning certified on the Google Cloud, check Google Cloud Professional Machine Learning Engineer certification for more information. With it, you'll be able to become industry recognized and demonstrate your expertise in designing, building, and running ML models to solve business challenges.
Why become certified?
But with so many open jobs, why become certified? According to independent third-party research, 87% of Google Cloud certified individuals are more confident in their cloud skills and 71% report that the certification enabled or will enable them and their employers to scale up their business and their careers.
References
For more information about the certification, the material and the exam, check official announcement.
See Also
- Get Started with the new Cloud Shell Editor
- HTTP/gRPC server streaming available in Google Cloud Run
- .NET, Java and Ruby now available in Google Cloud Functions
- Eventrac, a new events functionality to build event-driven applications on the Google Cloud
- Docker and Apache Flink available in Dataproc’s Component Exchange
- Logs Buckets and Log Views now available in the Google Cloud Platform
