Google Cloud Professional Data Engineer Certification Course

Focused View

Jose Portilla

10:30:16

71 View

1. Introduction and Course Welcome

1.1 Course Slides.html

1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.html

2. Course Curriculum Overview.mp4

03:43

3. GCP Data Overview.mp4

05:58

4. Data Lifecycle.mp4

11:17

2. Introduction to Google Cloud

1. Introduction to Google Cloud.html

2. What is Cloud A Cloud Computing Overview.mp4

12:02

3. GCP Network Infrastructure.mp4

12:19

4. GCP Network Connections.mp4

18:58

5. Why Choose GCP.mp4

12:37

6. Google Cloud Account Set-up.mp4

06:59

7. Billing and Budgets.mp4

04:41

8. Billing Tour DEMO.mp4

07:05

9. Setting a Budget Alert DEMO.mp4

04:16

3. Google Storage Overview

1. GCP Storage Overview.mp4

00:45

2. GCP Storage Tour.mp4

05:39

3. Cloud Storage.mp4

23:16

4. Cloud Storage DEMO.mp4

16:45

5. Filestore.mp4

06:49

6. Filestore DEMO.mp4

14:14

7. Cloud SQL.mp4

08:43

8. Cloud SQL DEMO.mp4

15:41

9. Cloud Spanner.mp4

06:14

10. Cloud Spanner DEMO.mp4

15:13

11. Cloud BigTable.mp4

07:58

12. Memorystore.mp4

03:52

4. Big Data Overview

1. Big Data Overview.mp4

01:23

2. MapReduce.mp4

06:55

3. Apache Hadoop.mp4

05:58

4. Apache Pig.mp4

02:25

5. Apache Spark.mp4

05:56

6. Apache Kafka.mp4

04:26

5. Google Bigquery

1. Introduction to Bigquery.mp4

01:19

2. Data Lakes vs Data Warehouse.mp4

15:20

3. BigQuery Architecture.mp4

09:42

4. BigQuery Basic Hierarchy.mp4

11:47

5. BigQuery Basics DEMO.mp4

10:42

6. BigQuery Command Line Tool DEMO.mp4

08:41

7. BigQuery Ingesting Data Input.mp4

05:11

8. BigQuery Loading Data DEMO.mp4

15:33

9. BigQuery Understanding Schemas.mp4

07:18

10. BigQuery Nested and Repeated Fields.mp4

07:17

11. Nested Fields DEMO.mp4

07:51

12. Partioning and Clustering.mp4

05:48

13. BigQuery and Machine Learning.mp4

03:48

14. BigQuery and Machine Learning DEMO.mp4

11:50

15. BigQuery Best Practices.mp4

05:29

16. BigQuery IAM Policy and Monitoring.mp4

04:23

17. BigQuery Streaming.mp4

04:32

6. Dataproc on Google Cloud

1. Introduction to Dataproc.mp4

00:37

2. Hadoop Based Ecosystem Review.mp4

04:07

3. Dataproc Key Features.mp4

06:06

4. Dataproc Optimization.mp4

05:15

5. Dataproc DEMO.mp4

10:39

6. Dataproc with Cloud Storage.mp4

05:44

7. Cloud Data Fusion

1. Introduction to Data Fusion.mp4

00:28

2. Cloud Data Fusion.mp4

07:01

3. Data Fusion User Interface.mp4

05:09

4. Data Fusion DEMO.mp4

12:42

8. Cloud Composer

1. Introduction to Cloud Composer.mp4

00:29

2. Apache Airflow Overview.mp4

04:55

3. Cloud Composer.mp4

04:36

4. Cloud Composer DEMO.mp4

08:33

9. Cloud Dataflow

1. Introduction to Cloud Dataflow.mp4

00:25

2. Cloud Dataflow Overview.mp4

06:52

3. Cloud Dataflow Templates and SQL.mp4

03:49

4. Cloud Dataflow DEMO.mp4

14:37

10. Google Cloud Pub Sub

1. Introduction to Pub Sub.mp4

00:29

2. Apache Kafka Pulsar.mp4

05:34

3. Pub Sub Overview.mp4

02:48

4. Pub Sub Architecture.mp4

08:49

5. Pub Sub DEMO.mp4

05:11

11. Data Studio on Google Cloud

1. Introduction to Data Studio.mp4

00:33

2. Data Studio Overview.mp4

04:51

3. Data Studio DEMO.mp4

06:41

12. Dataprep on Google Cloud

1. Introduction to Dataprep.mp4

00:38

2. Dataprep Features and Overview.mp4

03:19

3. Dataprep DEMO.mp4

09:45

13. Machine Learning on GCP

1. Introduction to Machine Learning Overview Section.mp4

01:47

2. Understanding the Machine Learning Pathway.mp4

10:16

3. Why Machine Learning.mp4

09:15

4. Types of Machine Learning Algorithms.mp4

07:47

5. Supervised Machine Learning Process.mp4

13:41

6. Difference AI and ML.mp4

05:24

7. Overview AI and ML on Google Cloud.mp4

08:29

8. Vertex AI Overview.mp4

05:38

9. Vertex AI Workbench Jupyter Notebook on Google Cloud.mp4

08:55

14. Google Cloud Professional Data Engineer Exam Guide

1. Introduction to Exam Guide.mp4

00:37

2. Exam Topics Overview.mp4

11:01

3. Exam Experience.mp4

08:06

4. Google Cloud Professional Data Engineer Practice Exam.html

Description

Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!

What You'll Learn?

Learn what's needed to pass the Google Cloud Professional Data Engineer Certification Exam
Design Data Processing Systems with Google Cloud Tools
Operationalize Machine Learning Models for Deployment
Learn fundamentals of Big Data and Machine Learning
Discover how to use Google Cloud SQL and Spark
Learn to use BigQuery ML for predictions
Build real-time IoT Dashboards with DataFlow and Data Studio
Learn to use Google Cloud APIs for ML, such as Vision API and AutoML
Build Data Lakes and Data Warehouses on Google Cloud
Use DataFlow for Serverless Data Processing with Apache Beam
Understand the Google Cloud Platform Console
Create Virtual Machines with Google Compute Engines

Who is this for?

Anyone wanting to pass the Professional Data Engineer Certification from Google Cloud

What You Need to Know?

Google Cloud Account (to follow along with demo labs and assignments)

Some Basic Google Cloud Platform experience

More details

Description
Welcome to your one-stop shop for passing the Google Cloud Professional Data Engineer Certification Exam!
AÂ FULLÂ 50 QUESTIONÂ PRACTICEÂ EXAMÂ ISÂ INCLUDEDÂ WITHÂ THISÂ COURSE!
We've designed this course to be a complete resource for you to learn how to use Google Cloud to pass the Professional Data Engineer Certification Exam!
As you may have heard, Google Cloud is growing at a tremendous rate, with almost 50% YoY growth, and has a higher growth rate than overall cloud. Since Google has some of the most advanced data and machine learning offerings of any cloud provider, it makes sense to get skilled in this highly in-demand field today.
In this course we'll teach you how to make data-driven decisions by collecting, transforming, and publishing data. This certification preparatory course will show you how to use Google Cloud to design, build, and operationalize data systems that can run at the scale of Google.
In this course, we'll prepare you for the Google Cloud ProfessionalÂ Data Engineer Certification Exam by teaching you about the following:

Designing Data Processing Systems
Google Cloud Storage
Data Pipelines
BigQuery
DataFlow
Cloud Composer
Operationalize Data Systems
Cloud BigTable
CloudÂ SQL
Data Cleaning and Transformation
Data Monitoring
Machine Learning DevOps
Google Cloud MLÂ APIs
Deploying MLÂ Pipelines
Infrastructure Decisions
DataÂ Solutions Quality
Data Security and Access
Test Suites and Troubleshooting
Verification and Monitoring
Data Portability
And much more!
While this course is specifically designed to help you pass the Google Cloud Professional Data Engineer Certification Exam, we believe anyone that is interested in using Google Cloud to create development operations for the latest data products will benefit massively from taking this course.
Also, not only do you get great technical content with this course, but you'll also get access to our in course Question and Answer Forums and our Discord Student Chat Channel.
You can try the course risk free with a 30-day money back guarantee!
Enroll today and we'll see you inside the course!
Who this course is for:
Anyone wanting to pass the Professional Data Engineer Certification from Google Cloud

User Reviews

Rating

average 0

Total votes0

Focused display

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.