3.9 out of 5
3.9
171 reviews on Udemy

Hands on Google cloud platform(GCP) – Data Engineer

Data Engineer Certification
Instructor:
Notez (Rent a Mind)
801 students enrolled
English [Auto-generated]
Understand major components of GCP
Understand Machine learning fundamentals
Get introduced to BigQuery
Know how to use tensorflow on cloud
Learn about Hadoop and its cloud Counter parts
Get basics set to be certified

This course is exclusively designed by NoTEZ to teach about GCP in most simplest way possible. 

Students who enrolled  for our previous courses on GCP had requested more in the series and hence this course is live. 

If you havn’t enrolled for our Other courses, enroll today n start exploring more. 

This course is designed to give idea about Google’ s data engineer certification But Not limited to just that. 

This course will give you indepth practical knowledge on various components of GCP. 

Enroll today &  explore more

Course Overview

Module 1- Introduction

 All about Google certification, Overview –Data Engineer Certification, What is and why to use CLOUD?

Module 2 – Hands on GCP

Labs

Module 3 –Hadoop

Introduction to,Hadoop, Hadoop-bigger picture, Hadoop- In detail, HIVE, HBASE,PIG

Module 4- Compute

Introduction to Computing, Google compute engine(GCE), Preemptible Virtual Machine, Google APP engine (G A E), Google container engine  ,Kubernetes ( GKE),Comparison,Labs

Module 5- Storage

Introduction, Cloud Storage, BIGQUERY, Data Store, More on cloud storage, Working with cloud storage, Transfer service, Cloud SQL, Cloud SQL – PROXY, Cloud Spanner, Hot Spotting, Data Types, Transactions , Staleness, Labs

Module 6-Big Table

Big Table Introduction, Columnar store, Denormalized Storage, CRUD Operations, Column families, Choice of BigTable

Module 7-Datalab

Module 8-Pub/Sub

Module 9- Dataflow

Module 10-BigQuery

BigQuery Data Model, Querying & Viewing,Labs

Module 11-Machine Learning & Tensorflow

Introduction to Machine Learning, Typical usage of Mechine Learning, Types,

The Mechine Learning block diagram, Deep learning & Neural Networks, Labels, Understanding  Tenser Flow, Computational Graphs, Tensors, Linear regression , Placeholders & variables,

Image processing in Tensor Flow, Image as tensors, M-NIST – Introduction, K-nearest neighbors Algorithm, L1 distance, Steps in K- nearest neighbour implementation, Neural Networks in Real Time, Learning regression and learning XOR

Linear Regression, Gradient descent, Logistic Regression, Logit, Activation function,Softmax, Cost function -Cross entropy,Labs

Module 12-Operation & Security

Stack driver, Stack driver Logging, Cloud Deployment Manager, Cloud Endpoints, Cloud IAM ,API keys, Cloud IAM- Extended, Labs,

Introduction

1
Introduction
2
Details on Google certification
3
Overview of Data engineer certification
4
Why cloud?

Dive into practicals

1
Lab 1: Creating a Google cloud account
2
Working with cloud Shell

The Mighty 'HADOOP'

1
Hello Hadoop
2
Hadoop-2
3
Hadoop -3
4
Hadoop ecosystem and GCP equivalent

Cloud compute engine

1
Introduction
2
preemtible VMs
3
Google App Engine(GAE)
4
Lab 1: Creating VM instance
5
Lab 2: Dealing with VM
6
Lab 3 : VM Instance Via Command Line

Let's Explore Storage

1
Get introduced to cloud storage
2
A bit more about storage
3
All about datastore
4
Cloud SQL
5
Cloud Spanner
6
Lab : Cloud Spanner
7
Lab : Storage buckets
8
Lab : Cloud SQL

Big Table- columnar store

1
Big Table introduction
2
CRUD operations & choice of Big Table

Cloud Datalab

1
Datalab

PUB/SUB

1
Streaming Data -PUB/SUB

Dataflow

1
Dataflow

BigQuery

1
More GCP - BigQuery
2
Lab : BigQuery - Loading CSV data
3
Lab : Querying Table

Machine Learning & Tensorflow

1
Hello Machine learning
2
The ML block diagram, Deep learning & neural networks
3
Lab: simple Math in Tensorflow
4
Understanding Tensorflow
5
Tensors
6
Lab : Tensors
7
Linear regression basics
8
Lab: Simple regression example
9
Placeholders & variables
10
Lab: simple math with placeholders
11
Lab: Dealing with variables
12
Image processing in TensorFlow
13
Lab : work with images
14
Image as Tensors
15
lab: work with images- part 2
16
MNIST & KNN
17
L1 Distance
18
Neural Network in Real Time,Learning regression and XOR
19
Gradient descent
20
A bit on logistic regression

Add on: operations & security

1
Stack Driver
2
Cloud IAM
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Includes

4 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion