Certification training

Professional-Data-EngineerProfessional Data Engineer: Professional Data Engineer on Google Cloud Platform

Prepare for your Google exam with a structured video course built for focused study, topic review, and repeatable progress before exam day.

201Lectures
27h 43m 25sDuration
GoogleVendor
Professional Data Engineer: Professional Data Engineer on Google Cloud Platform course cover Best seller
Google certification training Professional-Data-Engineer 201 lessons arranged in a guided course path
Course overview

Study with a clear path.

Move through focused sections, review lecture timing, and return directly to the objectives that need more work.

Sequenced lessons

Follow the course in order or jump directly to the section you need to revisit.

Video-first prep

Use concise lecture blocks for technical review before moving into exam practice.

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Curriculum

Course sections.

20 sections, 201 lessons, and lecture-level duration details.

01 You, This Course and Us 2m 1s

01 Theory, Practice and Tests 10m 26s
02 Lab: Setting Up A GCP Account 7m
03 Lab: Using The Cloud Shell 6m 1s

01 Compute Options 9m 16s
02 Google Compute Engine (GCE) 7m 38s
03 Lab: Creating a VM Instance 5m 59s
04 More GCE 8m 12s
05 Lab: Editing a VM Instance 4m 45s
06 Lab: Creating a VM Instance Using The Command Line 4m 43s
07 Lab: Creating And Attaching A Persistent Disk 4m
08 Google Container Engine - Kubernetes (GKE) 10m 33s
09 More GKE 9m 54s
10 Lab: Creating A Kubernetes Cluster And Deploying A Wordpress Container 6m 55s
11 App Engine 6m 48s
12 Contrasting App Engine, Compute Engine and Container Engine 6m 3s
13 Lab: Deploy And Run An App Engine App 7m 29s

01 Storage Options 9m 48s
02 Quick Take 13m 41s
03 Cloud Storage 10m 37s
04 Lab: Working With Cloud Storage Buckets 5m 25s
05 Lab: Bucket And Object Permissions 3m 52s
06 Lab: Life cycle Management On Buckets 3m 12s
07 Lab: Running A Program On a VM Instance And Storing Results on Cloud Storage 7m 9s
08 Transfer Service 5m 7s
09 Lab: Migrating Data Using The Transfer Service 5m 32s
10 Lab: Cloud Storage ACLs and API access with Service Account 7m 50s
11 Lab: Cloud Storage Customer-Supplied Encryption Keys and Life-Cycle Management 9m 28s
12 Lab: Cloud Storage Versioning, Directory Sync 8m 42s

01 Cloud SQL 7m 40s
02 Lab: Creating A Cloud SQL Instance 7m 55s
03 Lab: Running Commands On Cloud SQL Instance 6m 31s
04 Lab: Bulk Loading Data Into Cloud SQL Tables 9m 9s
05 Cloud Spanner 7m 25s
06 More Cloud Spanner 9m 18s
07 Lab: Working With Cloud Spanner 6m 49s

01 BigTable Intro 7m 57s
02 Columnar Store 8m 12s
03 Denormalised 9m 2s
04 Column Families 8m 10s
05 BigTable Performance 13m 19s
06 Lab: BigTable demo 7m 39s

01 Datastore 14m 10s
02 Lab: Datastore demo 6m 42s

01 BigQuery Intro 11m 3s
02 BigQuery Advanced 9m 59s
03 Lab: Loading CSV Data Into Big Query 9m 4s
04 Lab: Running Queries On Big Query 5m 26s
05 Lab: Loading JSON Data With Nested Tables 7m 28s
06 Lab: Public Datasets In Big Query 8m 16s
07 Lab: Using Big Query Via The Command Line 7m 45s
08 Lab: Aggregations And Conditionals In Aggregations 9m 51s
09 Lab: Subqueries And Joins 5m 44s
10 Lab: Regular Expressions In Legacy SQL 5m 36s
11 Lab: Using The With Statement For SubQueries 10m 45s

01 Data Flow Intro 11m 4s
02 Apache Beam 3m 42s
03 Lab: Running A Python Data flow Program 12m 56s
04 Lab: Running A Java Data flow Program 13m 42s
05 Lab: Implementing Word Count In Dataflow Java 11m 17s
06 Lab: Executing The Word Count Dataflow 4m 37s
07 Lab: Executing MapReduce In Dataflow In Python 9m 50s
08 Lab: Executing MapReduce In Dataflow In Java 6m 8s
09 Lab: Dataflow With Big Query As Source And Side Inputs 15m 50s
10 Lab: Dataflow With Big Query As Source And Side Inputs 2 6m 28s

01 Data Proc 8m 28s
02 Lab: Creating And Managing A Dataproc Cluster 8m 11s
03 Lab: Creating A Firewall Rule To Access Dataproc 8m 25s
04 Lab: Running A PySpark Job On Dataproc 7m 39s
05 Lab: Running The PySpark REPL Shell And Pig Scripts On Dataproc 8m 44s
06 Lab: Submitting A Spark Jar To Dataproc 2m 10s
07 Lab: Working With Dataproc Using The GCloud CLI 8m 19s

01 Pub Sub 8m 23s
02 Lab: Working With Pubsub On The Command Line 5m 35s
03 Lab: Working With PubSub Using The Web Console 4m 40s
04 Lab: Setting Up A Pubsub Publisher Using The Python Library 5m 52s
05 Lab: Setting Up A Pubsub Subscriber Using The Python Library 4m 8s
06 Lab: Publishing Streaming Data Into Pubsub 8m 18s
07 Lab: Reading Streaming Data From PubSub And Writing To BigQuery 10m 14s
08 Lab: Executing A Pipeline To Read Streaming Data And Write To BigQuery 5m 54s
09 Lab: Pubsub Source BigQuery Sink 10m 20s

01 Data Lab 3m
02 Lab: Creating And Working On A Datalab Instance 4m 1s
03 Lab: Importing And Exporting Data Using Datalab 12m 14s
04 Lab: Using The Charting API In Datalab 6m 43s

01 Introducing Machine Learning 8m 4s
02 Representation Learning 10m 27s
03 NN Introduced 7m 35s
04 Introducing TF 7m 16s
05 Lab: Simple Math Operations 8m 46s
06 Computation Graph 10m 17s
07 Tensors 9m 2s
08 Lab: Tensors 5m 3s
09 Linear Regression Intro 9m 57s
10 Placeholders and Variables 8m 44s
11 Lab: Placeholders 6m 36s
12 Lab: Variables 7m 49s
13 Lab: Linear Regression with Made-up Data 4m 52s
14 Image Processing 8m 5s
15 Images As Tensors 8m 16s
16 Lab: Reading and Working with Images 8m 6s
17 Lab: Image Transformations 6m 37s
18 Introducing MNIST 4m 13s
19 K-Nearest Neigbors 7m 42s
20 One-hot Notation and L1 Distance 7m 31s
21 Steps in the K-Nearest-Neighbors Implementation 9m 32s
22 Lab: K-Nearest-Neighbors 14m 14s
23 Learning Algorithm 10m 58s
24 Individual Neuron 9m 52s
25 Learning Regression 7m 51s
26 Learning XOR 10m 27s
27 XOR Trained 11m 11s

01 Lab: Access Data from Yahoo Finance 2m 49s
02 Non TensorFlow Regression 5m 53s
03 Lab: Linear Regression - Setting Up a Baseline 11m 19s
04 Gradient Descent 9m 56s
05 Lab: Linear Regression 14m 42s
06 Lab: Multiple Regression in TensorFlow 9m 15s
07 Logistic Regression Introduced 10m 16s
08 Linear Classification 5m 25s
09 Lab: Logistic Regression - Setting Up a Baseline 7m 33s
10 Logit 8m 33s
11 Softmax 11m 55s
12 Argmax 12m 13s
13 Lab: Logistic Regression 16m 56s
14 Estimators 4m 10s
15 Lab: Linear Regression using Estimators 7m 49s
16 Lab: Logistic Regression using Estimators 4m 54s

01 Lab: Taxicab Prediction - Setting up the dataset 14m 38s
02 Lab: Taxicab Prediction - Training and Running the model 11m 22s
03 Lab: The Vision, Translate, NLP and Speech API 10m 54s
04 Lab: The Vision API for Label and Landmark Detection 7m

01 Live Migration 10m 17s
02 Machine Types and Billing 9m 21s
03 Sustained Use and Committed Use Discounts 7m 3s
04 Rightsizing Recommendations 2m 22s
05 RAM Disk 2m 7s
06 Images 7m 45s
07 Startup Scripts And Baked Images 7m 31s

01 VPCs And Subnets 11m 14s
02 Global VPCs, Regional Subnets 11m 19s
03 IP Addresses 11m 39s
04 Lab: Working with Static IP Addresses 5m 46s
05 Routes 7m 36s
06 Firewall Rules 15m 33s
07 Lab: Working with Firewalls 7m 5s
08 Lab: Working with Auto Mode and Custom Mode Networks 19m 32s
09 Lab: Bastion Host 7m 10s
10 Cloud VPN 7m 27s
11 Lab: Working with Cloud VPN 11m 11s
12 Cloud Router 10m 31s
13 Lab: Using Cloud Routers for Dynamic Routing 14m 7s
14 Dedicated Interconnect Direct and Carrier Peering 8m 10s
15 Shared VPCs 10m 11s
16 Lab: Shared VPCs 6m 17s
17 VPC Network Peering 10m 10s
18 Lab: VPC Peering 7m 17s
19 Cloud DNS And Legacy Networks 5m 19s

01 Managed and Unmanaged Instance Groups 10m 53s
02 Types of Load Balancing 5m 46s
03 Overview of HTTP(S) Load Balancing 9m 20s
04 Forwarding Rules Target Proxy and Url Maps 8m 31s
05 Backend Service and Backends 9m 28s
06 Load Distribution and Firewall Rules 4m 28s
07 Lab: HTTP(S) Load Balancing 11m 21s
08 Lab: Content Based Load Balancing 7m 6s
09 SSL Proxy and TCP Proxy Load Balancing 5m 6s
10 Lab: SSL Proxy Load Balancing 7m 49s
11 Network Load Balancing 5m 8s
12 Internal Load Balancing 7m 16s
13 Autoscalers 11m 52s
14 Lab: Autoscaling with Managed Instance Groups 12m 22s

01 StackDriver 12m 8s
02 StackDriver Logging 7m 39s
03 Lab: Stackdriver Resource Monitoring 8m 12s
04 Lab: Stackdriver Error Reporting and Debugging 5m 52s
05 Cloud Deployment Manager 6m 5s
06 Lab: Using Deployment Manager 5m 10s
07 Lab: Deployment Manager and Stackdriver 8m 27s
08 Cloud Endpoints 3m 48s
09 Cloud IAM: User accounts, Service accounts, API Credentials 8m 53s
10 Cloud IAM: Roles, Identity-Aware Proxy, Best Practices 9m 31s
11 Lab: Cloud IAM 11m 57s
12 Data Protection 12m 2s

01 Introducing the Hadoop Ecosystem 1m 34s
02 Hadoop 9m 43s
03 HDFS 10m 55s
04 MapReduce 10m 34s
05 Yarn 5m 29s
06 Hive 7m 19s
07 Hive vs 7m 10s
08 HQL vs 7m 36s
09 OLAP in Hive 7m 34s
10 Windowing Hive 8m 22s
11 Pig 8m 4s
12 More Pig 6m 38s
13 Spark 8m 54s
14 More Spark 11m 45s
15 Streams Intro 7m 44s
16 Microbatches 5m 40s
17 Window Types 5m 46s
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