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
4.43 (4851 reviews)
34 099
students
32.5 hours
content
Feb 2025
last update
$99.99
regular price
What you will learn
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
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Our Verdict
Google Cloud Professional Data Engineer Certification is a content-rich course, offering hands-on experience with GCP services. However, it falls short on deeply explaining the interconnectivity of services, real-world examples, and serving as a reliable certification exam resource. Considering its recent updates, reviewers can expect improvements in organization, presentation flow, and overall preparation for the Google Cloud Professional Data Engineer certificate.
What We Liked
- Comprehensive coverage of Google Cloud Platform (GCP) services with 80+ hands-on demos
- In-depth knowledge of storage, database, machine learning, and data pipeline solutions on GCP
- Ideal for gaining practical experience with GCP tools and features
- Structured course content for intermediate level understanding
Potential Drawbacks
- Superficial introduction to GCP services; lacks real-world examples and interconnectivity insights
- Shallow hands-on lessons; opportunities for deeper concepts are overlooked
- Inadequate for Google Cloud Professional Data Engineer certification exam preparation due to insufficient explanation of concepts
- Disorganized lectures, frequent mistakes, and time-wasting issues in videos
Related Topics
4095980
udemy ID
02/06/2021
course created date
14/09/2021
course indexed date
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