Testing and Monitoring Machine Learning Model Deployments
Focused View
7:27:53
8 View
001 Course Curriculum Overview.mp4
02:35
002 Course Requirements.mp4
01:36
003 How to Approach This Course (Important).mp4
03:26
004 All Notes & Slides For This Course.html
004 Complete-Course-Notes.pdf
004 all-course-slides.pdf
005 FAQ I would like to learn more about the topics not covered.html
001 Deploying a Model to Production.mp4
08:31
002 Course Scenario Predicting House Sale Price.mp4
09:27
003 Setup A Python Installation (Important).mp4
03:47
004 Setup B Git and Github Setup (Advanced users can skip).mp4
03:02
005 Course Github Repo & Data.mp4
02:38
006 Download dataset and Github repo links and guidelines.html
007 Setup C Jupyter Notebook Setup.mp4
02:13
008 Setup D Install Notebook Dependencies.mp4
02:19
009 Introduction to the Dataset & Model Pipeline.mp4
13:21
010 ML System Lifecycle.mp4
05:51
011 Additional Links and Resources.html
001 Section Overview.mp4
00:48
002 Testing Focus in This Course.mp4
01:26
003 Why Test.mp4
03:44
004 Testing Theory.mp4
03:47
005 Testing Machine Learning Systems (Important).mp4
06:31
006 Setup A Install Requirements.html
007 Wrap Up.mp4
00:26
001 Section Overview.mp4
00:45
002 Code Conventions.mp4
02:26
003 Pytest.mp4
11:49
004 Setup - Kaggle Data.mp4
03:22
005 Download the data set - Text Summary.html
006 Setup 2 - Tox.mp4
05:47
007 Troubleshooting Tox on Windows.mp4
01:18
008 Troubleshooting Tox on Windows II.html
009 Code Base Overview.mp4
13:41
010 Preprocessing & Feature Engineering Unit Testing Theory - Why Do This.mp4
03:24
011 Temporary Fix - important.html
012 Preprocessing & Feature Engineering Unit Testing.mp4
11:06
013 Quick note on git hygiene for the course.html
014 Model Config Unit Testing Theory - Why Do This.mp4
03:00
015 Model Config Unit Testing.mp4
09:57
016 Input Data Testing Theory - Why Do This.mp4
03:06
017 Input Data Unit Testing.mp4
08:35
018 Model Quality Unit Testing Theory - Why Do This.mp4
02:19
019 Model Quality Unit Testing.mp4
10:10
020 Quick Lecture on Tooling Improvements.mp4
02:41
021 Wrap Up.mp4
01:41
001 Section Overview.mp4
00:45
002 Quick Docker Recap.mp4
06:09
003 Why Use Docker.mp4
07:24
004 Introduction to Docker Compose.mp4
04:28
005 Docker & Docker Compose Installation.mp4
05:56
006 Windows Specific Docker Issue.mp4
03:48
007 Important Requirements Fix.html
008 Docker Space Consumption Tips.html
001 Section Overview.mp4
00:40
002 API Conceptual Guide.mp4
02:16
003 Overview of the Codebase.mp4
06:47
004 Using our Open API Spec Part 1.mp4
01:55
005 WINDOWS SPECIFIC SETUP.html
006 Using our Open API Spec Part 2.mp4
02:56
007 Integration Testing Theory.mp4
01:52
008 WORK AROUND LECTURE - 32 bit Operating Systems.html
009 Integration Testing Hands-On Code.mp4
10:21
010 A note on benchmark integration tests.mp4
01:33
001 Section Overview.mp4
00:32
002 Differential Testing Theory.mp4
03:19
003 Differential Testing Implementation.mp4
07:37
001 Section Overview.mp4
00:44
002 Shadow Mode Theory.mp4
04:23
003 Testing Models in Production.mp4
09:32
004 Tests in Shadow Deployments.mp4
15:08
005 Code Overview - DB Setup.mp4
13:13
006 WINDOWS port mapping.html
007 Gotcha breaking changes in sqlalchemy utils.html
008 Setup Tests for Shadow Mode.mp4
11:40
009 Shadow Mode - Asynchronous Implementation.mp4
04:25
010 Populate Database with Shadow Predictions.mp4
05:22
011 Jupyter Demo - Setup.mp4
05:02
012 Jupyter Demo - Tests in Shadow Mode.mp4
14:18
001 Section Overview.mp4
01:36
002 Why Monitor.mp4
05:34
003 Monitoring Theory.mp4
08:29
004 Metrics for Machine Learning Systems.mp4
06:03
005 Prometheus & Grafana Overview.mp4
06:42
006 [WINDOWS ONLY] Additional Setup.mp4
02:28
007 Basic Prometheus Setup - Hands-on.mp4
05:33
008 Adding Metrics - Hands-on.mp4
08:22
009 Adding Grafana - Hands-on.mp4
07:21
010 Infrastructure Metrics - Hands-on.mp4
06:44
011 Adding Metrics Monitoring to Our Example Project.mp4
07:30
012 Creating an ML System Grafana Dashboard.mp4
15:44
001 Monitoring Logs for ML - Theory.mp4
04:03
002 The Elastic Stack (Formerly ELK) - Overview.mp4
04:41
003 Kibana Hands-on Exercise.mp4
09:43
004 Integrating Kibana into The Example Project.mp4
09:36
005 Setting Up a Kibana Dashboard for Model Inputs.mp4
14:03
001 Course Conclusion.mp4
01:01
002 Congratulations.html
001 Bonus Lecture - There is more.html
More details
User Reviews
Rating
average 0
Focused display
Category
Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 80
- duration 7:27:53
- English subtitles has
- Release Date 2024/02/15
