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Google Cloud Big Data & Machine Learning Fundamentals course
This course is a gateway to introduce you to Google Cloud's big data and different machine learning functions. However, to successfully pass this training, you have to attain one year of experience in SQL, extract transform, data modeling, machine learning, programming in Python, and load activities. So, the objectives of the course are the following:
- Hire BigQuery and Cloud SQL for interactive data analysis
- Create ML models using BigQuery ML, APIs, and AutoML.
- Utilize Cloud SQL & Dataproc to migrate existing MySQL, Pig, Spark, or Hive workloads to Google Cloud
- Recognize the purpose of the key Big data and Machine Learning products in Google Cloud
Career Opportunities
The certified individuals can explore a variety of job opportunities. Some of the positions that they can take up include a Software Engineer, a Cloud Architect, a Data Engineer, a Sales Engineer, a Data Scientist, a Cloud Developer, and a Kubernetes Architect, among others. The salary outlook for these job roles is an average of $128,500 per annum.
How to book Google Professional Data Engineer Exams
The registration for the Google Professional Data Engineer Exam follows the steps given below.
- Step4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.
- Step1: Visit the Google Cloud Webassessor Website
- Step2: Sign in or sign up to your Google Cloud Webassessor account
- Step3: Search for the exam name Google Professional Data Engineer
Reference: https://cloud.google.com/certification/data-engineer
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