FreeCourseWeb com Learn to Build Machine Learning Systems That Don Suck

FreeCourseWeb com Learn to Build Machine Learning Systems That Don Suck

Name	[ FreeCourseWeb.com ] Learn to Build Machine Learning Systems - That Don't Suck	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.4 GB
Total Files	159
Last Seen	2025-07-18 00:18
Hash	8BA678382E7476E087315A9D91A63CC0790F1EF5

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Get Bonus Downloads Here.url	0.2 KB
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001 - Lesson 1 - Getting Started.mp4	128.6 MB
002 - Lesson 2 - Preparing Your Local Environment.mp4	134.5 MB
003 - Lesson 3 - Introduction to Metaflow.mp4	138.7 MB
004 - Lesson 4 - Training the Model.mp4	169.8 MB
005 - Lesson 5 - The Training Pipeline.mp4	318.1 MB
006 - Lesson 6 - Building a Custom Inference Process.mp4	196.7 MB
007 - Lesson 7 - Deploying The Model.mp4	123.9 MB
008 - Lesson 8 - The Endpoint Pipeline.mp4	178.6 MB
009 - Lesson 9 - Monitoring The Model.mp4	89.4 MB
010 - Lesson 10 - The Monitoring Pipeline.mp4	128.5 MB
011 - Lesson 11 - Production Pipelines in Amazon Web Services.mp4	189.6 MB
012 - Lesson 12 - Deploying the Model to SageMaker.mp4	112.8 MB
013 - Lesson 13 - The Deployment Pipeline.mp4	122.5 MB
014 - Lesson 14 - Monitoring the SageMaker Endpoint.mp4	48.5 MB
015 - Lesson 15 - Running Pipelines Remotely.mp4	160.0 MB
016 - Session 1 - Introduction and Initial Setup.mp4	338.6 MB
017 - Session 2 - Exploratory Data Analysis.mp4	152.6 MB
018 - Session 3 - Splitting and Transforming the Data.mp4	423.1 MB
019 - Session 4 - Training the Model.mp4	295.2 MB
020 - Session 5 - Custom Training Container.mp4	176.2 MB
021 - Session 6 - Tuning the Model.mp4	127.5 MB
022 - Session 7 - Evaluating the Model.mp4	163.6 MB
023 - Session 8 - Registering the Model.mp4	81.2 MB
024 - Session 9 - Conditional Registration.mp4	67.4 MB
025 - Session 10 - Serving the Model.mp4	93.0 MB
026 - Session 11 - Deploying the Model.mp4	91.0 MB
027 - Session 12 - Deploying From the Pipeline.mp4	241.3 MB
028 - Session 13 - Deploying From an Event.mp4	79.3 MB
029 - Session 14 - Building an Inference Pipeline.mp4	167.1 MB
030 - Session 15 - Custom Inference Script.mp4	119.8 MB
031 - Session 16 - Data Quality Baseline.mp4	107.1 MB
032 - Session 17 - Model Quality Baseline.mp4	107.8 MB
033 - Session 18 - Data Monitoring.mp4	136.3 MB
034 - Session 19 - Model Monitoring.mp4	76.8 MB
035 - Session 20 - Shadow Deployments.mp4	68.9 MB
Bonus Resources.txt	0.1 KB
github.txt	0.1 KB
/HTML/
Building Machine Learning Systems That Don't Suck (1).html	491.9 KB
Building Machine Learning Systems That Don't Suck (10).html	482.2 KB
Building Machine Learning Systems That Don't Suck (11).html	482.8 KB
Building Machine Learning Systems That Don't Suck (12).html	483.4 KB
Building Machine Learning Systems That Don't Suck (13).html	478.0 KB
Building Machine Learning Systems That Don't Suck (14).html	484.1 KB
Building Machine Learning Systems That Don't Suck (15).html	481.8 KB
Building Machine Learning Systems That Don't Suck (16).html	532.2 KB
Building Machine Learning Systems That Don't Suck (17).html	524.9 KB
Building Machine Learning Systems That Don't Suck (18).html	525.3 KB
Building Machine Learning Systems That Don't Suck (19).html	527.9 KB
Building Machine Learning Systems That Don't Suck (2).html	489.6 KB
Building Machine Learning Systems That Don't Suck (20).html	530.6 KB
Building Machine Learning Systems That Don't Suck (21).html	525.2 KB
Building Machine Learning Systems That Don't Suck (22).html	523.4 KB
Building Machine Learning Systems That Don't Suck (23).html	533.7 KB
Building Machine Learning Systems That Don't Suck (24).html	534.5 KB
Building Machine Learning Systems That Don't Suck (25).html	533.0 KB
Building Machine Learning Systems That Don't Suck (26).html	521.3 KB
Building Machine Learning Systems That Don't Suck (27).html	529.9 KB
Building Machine Learning Systems That Don't Suck (28).html	533.3 KB
Building Machine Learning Systems That Don't Suck (29).html	526.1 KB
Building Machine Learning Systems That Don't Suck (3).html	455.1 KB
Building Machine Learning Systems That Don't Suck (30).html	515.0 KB
Building Machine Learning Systems That Don't Suck (31).html	524.4 KB
Building Machine Learning Systems That Don't Suck (32).html	525.7 KB
Building Machine Learning Systems That Don't Suck (33).html	526.6 KB
Building Machine Learning Systems That Don't Suck (34).html	516.3 KB
Building Machine Learning Systems That Don't Suck (35).html	516.6 KB
Building Machine Learning Systems That Don't Suck (4).html	488.8 KB
Building Machine Learning Systems That Don't Suck (5).html	453.3 KB
Building Machine Learning Systems That Don't Suck (6).html	485.9 KB
Building Machine Learning Systems That Don't Suck (7).html	485.4 KB
Building Machine Learning Systems That Don't Suck (8).html	481.8 KB
Building Machine Learning Systems That Don't Suck (9).html	484.1 KB
Building Machine Learning Systems That Don't Suck.html	999.2 KB
/.../ml.school-cohort-16/
LICENSE	11.3 KB
README.md	40.1 KB
example.env	0.8 KB
gitignore	0.2 KB
idx-template.json	0.7 KB
idx-template.nix	0.9 KB
justfile	1.9 KB
logging.conf	0.6 KB
markdownlint.json	0.1 KB
mlschool-toc.json	0.4 KB
pyproject.toml	0.5 KB
requirements.txt	0.2 KB
/.../ml.school-cohort-16/backup/sagemaker/
cohort.ipynb	474.4 KB
penguins.flow	25.0 KB
/.../ml.school-cohort-16/backup/sagemaker/container/
Dockerfile	0.5 KB
ml-dependencies.yml	0.2 KB
/.../ml.school-cohort-16/backup/sagemaker/images/
basic-model.png	169.3 KB
condition-step.png	228.3 KB
culmen.jpeg	275.3 KB
data-quality-baseline.png	94.9 KB
deploy-step.png	230.4 KB
deploying-flask.png	224.5 KB
deploying-from-event.png	175.5 KB
deploying-model.png	188.7 KB
diagram.png	500.4 KB
endpoint.png	160.7 KB
evaluation-step.png	171.1 KB
inference-pipeline.png	249.5 KB
model-quality-baseline.png	237.1 KB
penguins.png	2.9 MB
processing-job.png	301.8 KB
processing-step.png	190.4 KB
registration-step.png	190.8 KB
shadow-deployment.png	251.1 KB
training-job.png	304.1 KB
training-step.png	166.6 KB
tuning-job.png	216.1 KB
tuning-step.png	170.9 KB
/.../ml.school-cohort-16/cloud-formation/
mlflow-cfn.yaml	2.6 KB
mlschool-cfn.yaml	7.1 KB
/.../ml.school-cohort-16/data/
penguins.csv	13.5 KB
/.../ml.school-cohort-16/idx/
dev.nix	2.4 KB
icon.png	8.3 KB
/.../ml.school-cohort-16/images/
architecture.png	671.3 KB
monitoring.png	386.2 KB
penguins.png	2.9 MB
training.png	421.5 KB
/.../ml.school-cohort-16/pipelines/
__init__.py	0.0 KB
common.py	5.9 KB
deployment.py	21.3 KB
endpoint.py	11.1 KB
inference.py	10.1 KB
monitoring.py	12.6 KB
sagemaker.py	5.7 KB
training.py	19.1 KB
tuning.py	3.7 KB
/.../ml.school-cohort-16/tests/
__init__.py	0.0 KB
test_inference.py	6.7 KB
/.../ml.school-cohort-16/vscode/
settings.json	0.3 KB
/sagemaker/
cohort.ipynb	474.4 KB
penguins.flow	25.0 KB
/sagemaker/container/
Dockerfile	0.5 KB
ml-dependencies.yml	0.2 KB
/sagemaker/images/
basic-model.png	169.3 KB
condition-step.png	228.3 KB
culmen.jpeg	275.3 KB
data-quality-baseline.png	94.9 KB
deploy-step.png	230.4 KB
deploying-flask.png	224.5 KB
deploying-from-event.png	175.5 KB
deploying-model.png	188.7 KB
diagram.png	500.4 KB
endpoint.png	160.7 KB
evaluation-step.png	171.1 KB
inference-pipeline.png	249.5 KB
model-quality-baseline.png	237.1 KB
penguins.png	2.9 MB
processing-job.png	301.8 KB
processing-step.png	190.4 KB
registration-step.png	190.8 KB
shadow-deployment.png	251.1 KB
training-job.png	304.1 KB
training-step.png	166.6 KB
tuning-job.png	216.1 KB
tuning-step.png	170.9 KB
Total files 159