GCP – Google Cloud Professional Data Engineer Certification

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GCP - Google Cloud Professional Data Engineer Certification

GCP – Google Cloud Professional Data Engineer Certification

Learn Google Cloud Professional Data Engineer Certification with 80+ Hands-on demo on storage, Database, ML GCP Services

Created by Ankit Mistry, GCP Certification – Google Cloud Academy | Associate Cloud & Professional Engineer Certifications | 23.5 hours on-demand video course

Google Cloud Platform GCP is Fastest growing Public cloud. PDE (Professional Cloud Data Engineer) certification is the one which help to deploy Data Pipeline inside GCP cloud. This course has 16+ Hours of insanely great video content with 80+ hands-on Lab (Most Practical Course)

Google Cloud : Professional Cloud Data Engineer Certification is the best to invest time and energy to scale your data storage & processing demand. I am all exited to help you on your journey towards Google Cloud Professional Cloud Data Engineer Certification. So, I created most practical comprehensive course will prepare you for Professional Cloud Data Engineer certification, having 16+ hours of HD quality video content.

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What you’ll learn in Google Cloud Professional Data Engineer Certification Course

  • Grasp Basic Data Engineering & Database Concept
  • Provision Basic GCP infrastructure services – VM, Container, GKE, GAE, Cloud Run
  • Learn Various Storage Product like Cloud Storage, Disk, Filestore for Unstructured Data
  • Structure Data Solution – SQL, Spanner, BigQuery
  • Store massive semi structure data in BigTable, Datastore
  • Deploy Data Pipeline on different Data Processing Product – DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
  • Cleanse, Wrangle & Prepare Your Data with DataPrep
  • Machine Learning Basics & its GCP Solution Product
  • Search Data Asset from Data catalog
  • Visualize Data by creating Reports & Dashboard with Google Data Studio
  • Use Prebuilt ML API (Vision, Language, Speech) in your application
  • Apply Auto ML on your own data to build model
  • Build Machine Learning Custom Model with Notebook , Scikit Learn Library
  • Deploy Scikit-learn Model, Tensorflow as endpoint for prediction
  • Detect Sensitive PII data with Data Loss Prevention (DLP) API
  • Store process and analyse your petabyte-scale data with Google data warehousing solution cloud bigquery
  • Decouple application with asynchronous communication Google cloud pub sub
  • Store data inside the memory for faster access with memory Store redis database

Who this Google Cloud Professional Data Engineer Course is for:

  • Cloud Engineer who want to get certified in Google cloud Data Engineer
  • Anyone looking to use Google cloud for Data Pipeline in Organization
  • Data Engineer who want to learn various GCP products for Data Engineering
  • Anyone who want to learn about various Storage & Database Product for Storing Data
  • Anyone who want deploy ML Model/ Data Pipeline on Google Cloud
Josh Smith
Josh Smith

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