Section 1 : Getting started with Google Cloud

 		Lecture 1 Introduction 2:34
Lecture 2 What is a Cloud in 30 seconds 0:42
Lecture 3 Why Cloud Computing 11:56
Lecture 4 Virtualisation in a Cloud environment 2:21
Lecture 5 Introduction to git and github 11:30
Lecture 6 The environment
Lecture 7 Create an account of Google Cloud Text
Lecture 8 Creating a new Google Cloud Project 6:5
Lecture 9 Initialising App Engine on Google Cloud 4:5
Lecture 10 Git workflow 8:55
Lecture 11 Push code to GitHub 17:30
Lecture 12 Gcloud App Deploy 11:25
Lecture 13 Host a Website on Google Cloud 11:42

Section 2 : Creating an API with App Engine

 		Lecture 14 Section deliverables 2:39
Lecture 15 What is a Network Protocol 5:48
Lecture 16 What is HTTP protocol 6:54
Lecture 17 Note on Python Text
Lecture 18 Hello World in Python on Google cloud 8:28
Lecture 19 Programming Language framework introduction 10:5
Lecture 20 Creating an API on Google Cloud 18:56
Lecture 21 Add parameters to URL 17:58
Lecture 22 Arrays in API 4:45
Lecture 23 API strings handler Python 3:1
Lecture 24 Section Recap 6:5

Section 3 : Getting started with Compute Engine

 		Lecture 25 Section deliverables 2:28
Lecture 26 Local vs Remote compute platforms 7:40
Lecture 27 Compute Engine Problem statement 11:55
Lecture 28 Shell access to Compute Engine VM instance 10:52
Lecture 29 Resource Quantisation 16:15

Section 4 : Getting started with Cloud Functions using Python

 		Lecture 30 Function Abstraction 9:40
Lecture 31 Cloud Function for Hello World 13:48
Lecture 32 Email Checker Function 12:40
Lecture 33 Section Recap

Section 5 : Email Checker Project

 		Lecture 34 Section deliverables 4:4
Lecture 35 Introduction to CORS 3:39
Lecture 36 HTML boilerplate 11:31
Lecture 37 HTML page
Lecture 38 Note on JavaScript Basics Text
Lecture 39 JavaScript Basics 17:51
Lecture 40 Problem with CORS 11:57
Lecture 41 Adding CORS to cloud functions 8:43
Lecture 42 Deploying Cloud functions 6:11
Lecture 43 Completing the Project 7:10

Section 6 : Getting started with Firebase

 		Lecture 44 Section deliverables 2:28
Lecture 45 Why use a Database 8:44
Lecture 46 Create a Database using Firestore 6:49
Lecture 47 Creating a service account key
Lecture 48 Initialising Firebase admin 8:22
Lecture 49 Read operation on Firestore using Python 7:17
Lecture 50 Update operation on Firestore using Python 15:25
Lecture 51 Create operation on Firestore using Python 12:13
Lecture 52 Delete operation on Firestore using Python 4:43

Section 7 : Getting started with Cloud BigQuery

 		Lecture 53 Section Introduction 2:48
Lecture 54 Acquiring Data 8:43
Lecture 55 Generating CSV dataset using Python 15:22
Lecture 56 Simple SQL queries 10:50
Lecture 57 Compound SQL queries 3:33
Lecture 58 Exploring Public Datasets 8:7
Lecture 59 Python with BigQuery 10:12
Lecture 60 Section Recap 9:11

Section 8 : Introduction to Machine Learning

 		Lecture 61 Section Introduction 3:52
Lecture 62 What are Neurons 4:14
Lecture 63 What are Weights 8:38
Lecture 64 What are Biases 7:17
Lecture 65 Activation Functions 3:57
Lecture 66 Application Specific Hardware (ASIC) 8:4

Section 9 : Building a Machine Learning model on Google Cloud

 		Lecture 67 Section Introduction 3:51
Lecture 68 Machine Learning and the MNIST dataset 6:0
Lecture 69 Machine Learning workflow 5:15
Lecture 70 Creating a Compute Instance 11:57
Lecture 71 Implementing the Model 19:4
Lecture 72 Running the Project 4:51
Lecture 73 Course Conclusion Text
Lecture 74 BONUS Audio Lecture Machine Learning by looking at nature