Section 1 : Getting started with Google Cloud
|
Lecture 1 | Introduction | 00:02:34 Duration |
|
Lecture 2 | What is a Cloud in 30 seconds | 00:00:42 Duration |
|
Lecture 3 | Why Cloud Computing | 00:11:56 Duration |
|
Lecture 4 | Virtualisation in a Cloud environment | 00:02:21 Duration |
|
Lecture 5 | Introduction to git and github | 00:11:30 Duration |
|
Lecture 6 | The environment | |
|
Lecture 7 | Create an account of Google Cloud | |
|
Lecture 8 | Creating a new Google Cloud Project | 00:06:05 Duration |
|
Lecture 9 | Initialising App Engine on Google Cloud | 00:04:05 Duration |
|
Lecture 10 | Git workflow | 00:08:55 Duration |
|
Lecture 11 | Push code to GitHub | 00:17:30 Duration |
|
Lecture 12 | Gcloud App Deploy | 00:11:25 Duration |
|
Lecture 13 | Host a Website on Google Cloud | 00:11:42 Duration |
Section 2 : Creating an API with App Engine
|
Lecture 1 | Section deliverables | 00:02:39 Duration |
|
Lecture 2 | What is a Network Protocol | 00:05:48 Duration |
|
Lecture 3 | What is HTTP protocol | 00:06:54 Duration |
|
Lecture 4 | Note on Python | |
|
Lecture 5 | Hello World in Python on Google cloud | 00:08:28 Duration |
|
Lecture 6 | Programming Language framework introduction | 00:10:05 Duration |
|
Lecture 7 | Creating an API on Google Cloud | 00:18:56 Duration |
|
Lecture 8 | Add parameters to URL | 00:17:58 Duration |
|
Lecture 9 | Arrays in API | 00:04:45 Duration |
|
Lecture 10 | API strings handler Python | 00:03:01 Duration |
|
Lecture 11 | Section Recap | 00:06:05 Duration |
Section 3 : Getting started with Compute Engine
|
Lecture 1 | Section deliverables | 00:02:28 Duration |
|
Lecture 2 | Local vs Remote compute platforms | 00:07:40 Duration |
|
Lecture 3 | Compute Engine Problem statement | 00:11:55 Duration |
|
Lecture 4 | Shell access to Compute Engine VM instance | 00:10:52 Duration |
|
Lecture 5 | Resource Quantisation | 00:16:15 Duration |
Section 4 : Getting started with Cloud Functions using Python
|
Lecture 1 | Function Abstraction | 00:09:40 Duration |
|
Lecture 2 | Cloud Function for Hello World | 00:13:48 Duration |
|
Lecture 3 | Email Checker Function | 00:12:40 Duration |
|
Lecture 4 | Section Recap |
Section 5 : Email Checker Project
|
Lecture 1 | Section deliverables | 00:04:04 Duration |
|
Lecture 2 | Introduction to CORS | 00:03:39 Duration |
|
Lecture 3 | HTML boilerplate | 00:11:31 Duration |
|
Lecture 4 | HTML page | |
|
Lecture 5 | Note on JavaScript Basics | |
|
Lecture 6 | JavaScript Basics | 00:17:51 Duration |
|
Lecture 7 | Problem with CORS | 00:11:57 Duration |
|
Lecture 8 | Adding CORS to cloud functions | 00:08:43 Duration |
|
Lecture 9 | Deploying Cloud functions | 00:06:11 Duration |
|
Lecture 10 | Completing the Project | 00:07:10 Duration |
Section 6 : Getting started with Firebase
|
Lecture 1 | Section deliverables | 00:02:28 Duration |
|
Lecture 2 | Why use a Database | 00:08:44 Duration |
|
Lecture 3 | Create a Database using Firestore | 00:06:49 Duration |
|
Lecture 4 | Creating a service account key | |
|
Lecture 5 | Initialising Firebase admin | 00:08:22 Duration |
|
Lecture 6 | Read operation on Firestore using Python | 00:07:17 Duration |
|
Lecture 7 | Update operation on Firestore using Python | 00:15:25 Duration |
|
Lecture 8 | Create operation on Firestore using Python | 00:12:13 Duration |
|
Lecture 9 | Delete operation on Firestore using Python | 00:04:43 Duration |
Section 7 : Getting started with Cloud BigQuery
|
Lecture 1 | Section Introduction | 00:02:48 Duration |
|
Lecture 2 | Acquiring Data | 00:08:43 Duration |
|
Lecture 3 | Generating CSV dataset using Python | 00:15:22 Duration |
|
Lecture 4 | Simple SQL queries | 00:10:50 Duration |
|
Lecture 5 | Compound SQL queries | 00:03:33 Duration |
|
Lecture 6 | Exploring Public Datasets | 00:08:07 Duration |
|
Lecture 7 | Python with BigQuery | 00:10:12 Duration |
|
Lecture 8 | Section Recap | 00:09:11 Duration |
Section 8 : Introduction to Machine Learning
|
Lecture 1 | Section Introduction | 00:03:52 Duration |
|
Lecture 2 | What are Neurons | 00:04:14 Duration |
|
Lecture 3 | What are Weights | 00:08:38 Duration |
|
Lecture 4 | What are Biases | 00:07:17 Duration |
|
Lecture 5 | Activation Functions | 00:03:57 Duration |
|
Lecture 6 | Application Specific Hardware (ASIC) | 00:08:04 Duration |
Section 9 : Building a Machine Learning model on Google Cloud
|
Lecture 1 | Section Introduction | 00:03:51 Duration |
|
Lecture 2 | Machine Learning and the MNIST dataset | 00:06:00 Duration |
|
Lecture 3 | Machine Learning workflow | 00:05:15 Duration |
|
Lecture 4 | Creating a Compute Instance | 00:11:57 Duration |
|
Lecture 5 | Implementing the Model | 00:19:04 Duration |
|
Lecture 6 | Running the Project | 00:04:51 Duration |
|
Lecture 7 | Course Conclusion | |
|
Lecture 8 | BONUS Audio Lecture Machine Learning by looking at nature |