The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop Video Course

Curriculum For This Course

• 1. Introduction 7 Videos 01:05:34
  • Theory, Practice and Tests 10:26
  • Why Cloud? 09:43
  • Hadoop and Distributed Computing 09:01
  • On-premise, Colocation or Cloud? 10:05
  • Introducing the Google Cloud Platform 13:20
  • Lab: Setting Up A GCP Account 07:00
  • Lab: Using The Cloud Shell 06:01
• 2. Compute Choices 13 Videos 01:32:14
  • Compute Options 09:16
  • Google Compute Engine (GCE) 07:38
  • More GCE 08:12
  • Lab: Creating a VM Instance 05:59
  • Lab: Editing a VM Instance 04:45
  • Lab: Creating a VM Instance Using The Command Line 04:43
  • Lab: Creating And Attaching A Persistent Disk 04:00
  • Google Container Engine - Kubernetes (GKE) 10:33
  • More GKE 09:54
  • Lab: Creating A Kubernetes Cluster And Deploying A Wordpress Container 06:55
  • App Engine 06:48
  • Contrasting App Engine, Compute Engine and Container Engine 06:03
  • Lab: Deploy And Run An App Engine App 07:29
• 3. Storage 9 Videos 01:06:16
  • Storage Options 09:48
  • Quick Take 13:41
  • Cloud Storage 10:37
  • Lab: Working With Cloud Storage Buckets 05:25
  • Lab: Bucket And Object Permissions 03:52
  • Lab: Life cycle Management On Buckets 05:06
  • Lab: Running A Program On a VM Instance And Storing Results on Cloud Storage 07:09
  • Transfer Service 05:07
  • Lab: Migrating Data Using The Transfer Service 05:33
• 4. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS 7 Videos 00:54:46
  • Cloud SQL 07:40
  • Lab: Creating A Cloud SQL Instance 07:55
  • Lab: Running Commands On Cloud SQL Instance 06:31
  • Lab: Bulk Loading Data Into Cloud SQL Tables 09:09
  • Cloud Spanner 07:25
  • More Cloud Spanner 09:18
  • Lab: Working With Cloud Spanner 06:50
• 5. BigTable ~ HBase = Columnar Store 6 Videos 00:54:18
  • BigTable Intro 07:57
  • Columnar Store 08:12
  • Denormalised 09:02
  • Column Families 08:10
  • BigTable Performance 13:19
  • Lab: BigTable demo 07:39
• 6. Datastore ~ Document Database 2 Videos 00:20:52
  • Datastore 14:10
  • Lab: Datastore demo 06:42
• 7. BigQuery ~ Hive ~ OLAP 11 Videos 01:30:56
  • BigQuery Intro 11:03
  • BigQuery Advanced 10:00
  • Lab: Loading CSV Data Into Big Query 09:04
  • Lab: Running Queries On Big Query 05:26
  • Lab: Loading JSON Data With Nested Tables 07:28
  • Lab: Public Datasets In Big Query 08:16
  • Lab: Using Big Query Via The Command Line 07:45
  • Lab: Aggregations And Conditionals In Aggregations 09:51
  • Lab: Subqueries And Joins 05:44
  • Lab: Regular Expressions In Legacy SQL 05:36
  • Lab: Using The With Statement For SubQueries 10:45
• 8. Dataflow ~ Apache Beam 10 Videos 01:35:33
  • Data Flow Intro 11:04
  • Apache Beam 03:42
  • Lab: Running A Python Data flow Program 12:56
  • Lab: Running A Java Data flow Program 13:42
  • Lab: Implementing Word Count In Dataflow Java 11:18
  • Lab: Executing The Word Count Dataflow 04:37
  • Lab: Executing MapReduce In Dataflow In Python 09:50
  • Lab: Executing MapReduce In Dataflow In Java 06:08
  • Lab: Dataflow With Big Query As Source And Side Inputs 15:50
  • Lab: Dataflow With Big Query As Source And Side Inputs 2 06:28
• 9. Dataproc ~ Managed Hadoop 7 Videos 00:51:56
  • Data Proc 08:28
  • Lab: Creating And Managing A Dataproc Cluster 08:11
  • Lab: Creating A Firewall Rule To Access Dataproc 08:25
  • Lab: Running A PySpark Job On Dataproc 07:39
  • Lab: Running The PySpark REPL Shell And Pig Scripts On Dataproc 08:44
  • Lab: Submitting A Spark Jar To Dataproc 02:10
  • Lab: Working With Dataproc Using The GCloud CLI 08:19
• 10. Pub/Sub for Streaming 9 Videos 01:03:22
  • Pub Sub 08:23
  • Lab: Working With Pubsub On The Command Line 05:35
  • Lab: Working With PubSub Using The Web Console 04:40
  • Lab: Setting Up A Pubsub Publisher Using The Python Library 05:52
  • Lab: Setting Up A Pubsub Subscriber Using The Python Library 04:08
  • Lab: Publishing Streaming Data Into Pubsub 08:18
  • Lab: Reading Streaming Data From PubSub And Writing To BigQuery 10:14
  • Lab: Executing A Pipeline To Read Streaming Data And Write To BigQuery 05:54
  • Lab: Pubsub Source BigQuery Sink 10:20
• 11. Datalab ~ Jupyter 4 Videos 00:32:26
  • Data Lab 03:00
  • Lab: Creating And Working On A Datalab Instance 10:30
  • Lab: Importing And Exporting Data Using Datalab 12:14
  • Lab: Using The Charting API In Datalab 06:43
• 12. TensorFlow and Machine Learning 27 Videos 03:49:01
  • Introducing Machine Learning 08:04
  • Representation Learning 10:27
  • NN Introduced 07:35
  • Introducing TF 07:16
  • Lab: Simple Math Operations 08:46
  • Computation Graph 10:17
  • Tensors 09:02
  • Lab: Tensors 05:03
  • Linear Regression Intro 09:57
  • Placeholders and Variables 08:44
  • Lab: Placeholders 06:37
  • Lab: Variables 07:49
  • Lab: Linear Regression with Made-up Data 04:52
  • Image Processing 08:06
  • Images As Tensors 08:16
  • Lab: Reading and Working with Images 08:06
  • Lab: Image Transformations 06:37
  • Introducing MNIST 04:13
  • K-Nearest Neigbors as Unsupervised Learning 07:43
  • One-hot Notation and L1 Distance 07:31
  • Steps in the K-Nearest-Neighbors Implementation 09:32
  • Lab: K-Nearest-Neighbors 14:14
  • Learning Algorithm 10:59
  • Individual Neuron 09:52
  • Learning Regression 07:51
  • Learning XOR 10:27
  • XOR Trained 11:11
• 13. Regression in TensorFlow 16 Videos 02:25:49
  • Lab: Access Data from Yahoo Finance 02:49
  • Non TensorFlow Regression 08:05
  • Lab: Linear Regression - Setting Up a Baseline 11:19
  • Gradient Descent 09:57
  • Lab: Linear Regression 14:42
  • Lab: Multiple Regression in TensorFlow 09:16
  • Logistic Regression Introduced 10:16
  • Linear Classification 05:25
  • Lab: Logistic Regression - Setting Up a Baseline 07:33
  • Logit 08:33
  • Softmax 11:55
  • Argmax 12:13
  • Lab: Logistic Regression 16:56
  • Estimators 04:10
  • Lab: Linear Regression using Estimators 07:49
  • Lab: Logistic Regression using Estimators 04:54
• 14. Vision, Translate, NLP and Speech: Trained ML APIs 4 Videos 00:43:52
  • Lab: Taxicab Prediction - Setting up the dataset 14:38
  • Lab: Taxicab Prediction - Training and Running the model 11:22
  • Lab: The Vision, Translate, NLP and Speech API 10:54
  • Lab: The Vision API for Label and Landmark Detection 07:00
• 15. Networking 7 Videos 00:55:31
  • Virtual Private Clouds 07:04
  • VPC and Firewalls 09:26
  • XPC or Shared VPC 07:39
  • VPN 08:49
  • Types of Load Balancing 06:46
  • Proxy and Pass-through load balancing 09:49
  • Internal load balancing 06:02
• 16. Ops and Security 8 Videos 01:06:27
  • StackDriver 12:08
  • StackDriver Logging 07:39
  • Cloud Deployment Manager 06:06
  • Cloud Endpoints 03:48
  • Security and Service Accounts 07:44
  • OAuth and End-user accounts 08:31
  • Identity and Access Management 08:31
  • Data Protection 12:02
• 17. Appendix: Hadoop Ecosystem 17 Videos 02:10:44
  • Introducing the Hadoop Ecosystem 01:35
  • Hadoop 09:43
  • HDFS 10:55
  • MapReduce 10:34
  • Yarn 05:29
  • Hive 07:19
  • Hive vs. RDBMS 07:10
  • HQL vs. SQL 07:36
  • OLAP in Hive 07:34
  • Windowing Hive 08:22
  • Pig 08:04
  • More Pig 06:38
  • Spark 08:55
  • More Spark 11:45
  • Streams Intro 07:44
  • Microbatches 05:41
  • Window Types 05:46