Udemy - MLflow in Action - Master the art of MLOps using MLflow tool (8.2024)

Creation Time	Sept. 1, 2025, 5:43 a.m.
Last Access Time	Sept. 5, 2025, 11:01 p.m.
File Size	1.9 GB
Keywords	art of tool - Udemy 2024 MLOps Master 8 in Action using the MLflow
Total Requests	35
Total Files	151
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5 - Launch multiple Experiments and Runs/23 - Launch multiple Runs in a program.mp4 57.2 MB
5 - Launch multiple Experiments and Runs/24 - Launch multiple Experiments in a program.mp4 55.4 MB
15 - AWS integration with MLflow EndtoEnd Project/77 - AWS setup MLflow server on EC2.mp4 52.8 MB
15 - AWS integration with MLflow EndtoEnd Project/83 - Model Training on AWS Sagemaker.mp4 50.6 MB
10 - MLflow Model Evaluation/51 - Setting Validation thresholds in evaluate.mp4 47.5 MB
10 - MLflow Model Evaluation/48 - Implement evaluate function.mp4 45.8 MB
15 - AWS integration with MLflow EndtoEnd Project/85 - Model deployment on AWS Sagemaker.mp4 45.5 MB
15 - AWS integration with MLflow EndtoEnd Project/82 - AWS Sagemaker setup.mp4 44.3 MB
13 - MLflow Client/71 - Model versioning functions in MLflow client Part 1.mp4 43.8 MB
9 - Handling Customized models in MLflow/45 - Custom Flavors in MLflow.mp4 43.4 MB
10 - MLflow Model Evaluation/47 - Evaluate function parameters.mp4 42.3 MB
8 - MLflow Model component/38 - Log Signatures & Input examples in MLflow.mp4 39.1 MB
15 - AWS integration with MLflow EndtoEnd Project/84 - Model comparison and evaluation.mp4 38.2 MB
3 - MLflow Tracking component/9 - Sklearn regression model.mp4 36.6 MB
4 - MLflow Logging functions/21 - Log multiple artifacts function.mp4 36.0 MB
4 - MLflow Logging functions/22 - Set tags function.mp4 34.1 MB
3 - MLflow Tracking component/11 - MLruns directory.mp4 31.8 MB
13 - MLflow Client/69 - Run management functions in MLflow client Part 1.mp4 31.7 MB
8 - MLflow Model component/34 - Storage format.mp4 31.1 MB
4 - MLflow Logging functions/15 - Create MLflow experiment function.mp4 29.6 MB
3 - MLflow Tracking component/10 - Sklearn regression model with MLflow.mp4 28.9 MB
13 - MLflow Client/72 - Model versioning functions in MLflow client Part 2.mp4 28.6 MB
15 - AWS integration with MLflow EndtoEnd Project/81 - Run project on local system.mp4 28.1 MB
12 - MLflow Project component/65 - Run MLflow Project via CLI and API.mp4 28.0 MB
3 - MLflow Tracking component/12 - MLflow UI tour.mp4 27.8 MB
7 - Tracking Server of MLflow/29 - Implement Tracking Server in MLflow.mp4 27.3 MB
15 - AWS integration with MLflow EndtoEnd Project/86 - Model inferencing.mp4 27.1 MB
8 - MLflow Model component/39 - Model API savemodel logmodel explained.mp4 26.6 MB
7 - Tracking Server of MLflow/31 - Remote Tracking server scenarios.mp4 26.0 MB
13 - MLflow Client/70 - Run management functions in MLflow client Part 2.mp4 25.1 MB
8 - MLflow Model component/35 - MLmodel file explained.mp4 24.5 MB
10 - MLflow Model Evaluation/50 - Create Custom metrics and artifacts.mp4 24.3 MB
6 - Autologging in MLflow/26 - Implement autolog function.mp4 24.1 MB
2 - Introduction to MLflow/8 - MLflow Setup.mp4 24.0 MB
13 - MLflow Client/67 - Experiment management functions in MLflow client.mp4 23.4 MB
6 - Autologging in MLflow/27 - Implement library specific autolog function.mp4 23.1 MB
11 - MLflow Registry component/55 - Register model using logmodel function.mp4 23.0 MB
16 - Bonus/87 - Bonus.mp4 22.5 MB
15 - AWS integration with MLflow EndtoEnd Project/76 - AWS setup Create user Codecommit repo S3 bucket.mp4 22.0 MB
4 - MLflow Logging functions/20 - Log multiple parameters & metrics function.mp4 21.0 MB
9 - Handling Customized models in MLflow/42 - Implement Custom Python model Part 2.mp4 20.5 MB
10 - MLflow Model Evaluation/49 - Comparing Runs of an Experiment.mp4 20.5 MB
13 - MLflow Client/68 - searchexperiment function in MLflow Client.mp4 20.5 MB
9 - Handling Customized models in MLflow/43 - Implement Custom Python model Part 3.mp4 19.2 MB
8 - MLflow Model component/32 - Introduction to Model component.mp4 18.8 MB
14 - MLflow CLI commands/74 - MLflow CLI commands Set 2.mp4 17.6 MB
1 - Introduction to MLOps/3 - Challenges in traditional ML lifecycle Part 1.mp4 17.3 MB
15 - AWS integration with MLflow EndtoEnd Project/79 - Model Training code.mp4 16.8 MB
14 - MLflow CLI commands/73 - MLflow CLI commands Set 1.mp4 16.7 MB
1 - Introduction to MLOps/4 - Challenges in traditional ML lifecycle Part 2.mp4 16.4 MB
11 - MLflow Registry component/53 - Register models from UI.mp4 15.9 MB
15 - AWS integration with MLflow EndtoEnd Project/78 - Data Preprocessing.mp4 15.6 MB
11 - MLflow Registry component/57 - Register external & unsupported models.mp4 15.2 MB
11 - MLflow Registry component/56 - Register model using registermodel function.mp4 14.9 MB
4 - MLflow Logging functions/16 - Set MLflow experiment function.mp4 14.8 MB
9 - Handling Customized models in MLflow/41 - Implement Custom Python model Part 1.mp4 14.7 MB
7 - Tracking Server of MLflow/30 - Local Tracking server scenarios.mp4 14.1 MB
4 - MLflow Logging functions/18 - Start and End run functions Part 2.mp4 13.7 MB
4 - MLflow Logging functions/19 - Active & Last active run functions.mp4 13.0 MB
12 - MLflow Project component/60 - Environments in MLproject file.mp4 13.0 MB
12 - MLflow Project component/62 - Entry points in MLproject file.mp4 12.7 MB
2 - Introduction to MLflow/7 - Components of MLflow.mp4 12.4 MB
8 - MLflow Model component/33 - Model components.mp4 12.3 MB
15 - AWS integration with MLflow EndtoEnd Project/80 - Writing MLproject file.mp4 11.4 MB
6 - Autologging in MLflow/25 - Introduction to Autologging.mp4 11.1 MB
12 - MLflow Project component/61 - Docker environment examples.mp4 10.1 MB
11 - MLflow Registry component/54 - Stages of registered models.mp4 10.1 MB
8 - MLflow Model component/36 - What are Model Signatures.mp4 9.9 MB
12 - MLflow Project component/64 - Run commands Options.mp4 9.7 MB
1 - Introduction to MLOps/2 - Traditional Machine Learning Lifecycle.mp4 9.6 MB
4 - MLflow Logging functions/17 - Start and End run functions Part 1.mp4 8.9 MB
9 - Handling Customized models in MLflow/44 - Loading the customized Python model.mp4 8.7 MB
1 - Introduction to MLOps/5 - How MLOps address the challenges.mp4 8.5 MB
12 - MLflow Project component/59 - Write MLproject file.mp4 8.4 MB
4 - MLflow Logging functions/14 - Setting and Getting Tracking Uri Part 2.mp4 8.3 MB
1 - Introduction to MLOps/1 - What is MLOps.mp4 8.2 MB
15 - AWS integration with MLflow EndtoEnd Project/75 - Introduction and architecture of Project.mp4 7.9 MB
8 - MLflow Model component/37 - What is Signature Enforcement in MLflow.mp4 7.7 MB
2 - Introduction to MLflow/6 - What is MLflow.mp4 7.3 MB
7 - Tracking Server of MLflow/28 - What is MLflow Tracking server.mp4 6.7 MB
11 - MLflow Registry component/52 - Introduction to MLflow Registry.mp4 6.6 MB
12 - MLflow Project component/58 - Introduction to MLflow Projects.mp4 6.4 MB
13 - MLflow Client/66 - Introduction to MLflow Client.mp4 6.2 MB
4 - MLflow Logging functions/13 - Setting and Getting Tracking Uri Part 1.mp4 6.1 MB
10 - MLflow Model Evaluation/46 - Introduction to Model evaluation in MLflow.mp4 5.8 MB
9 - Handling Customized models in MLflow/40 - What is Model customization in MLflow.mp4 4.9 MB
12 - MLflow Project component/63 - Running MLproject file.mp4 3.9 MB
13 - MLflow Client/71 - Model-Versioning-and-Management.zip 3.5 MB
13 - MLflow Client/72 - Model-Versioning-and-Management.zip 3.5 MB
15 - AWS integration with MLflow EndtoEnd Project/78 - Install-git-on-windows.docx 1.0 MB
15 - AWS integration with MLflow EndtoEnd Project/78 - housing-price.zip 465.8 KB
15 - AWS integration with MLflow EndtoEnd Project/79 - housing-price.zip 465.8 KB
15 - AWS integration with MLflow EndtoEnd Project/80 - housing-price.zip 465.8 KB
15 - AWS integration with MLflow EndtoEnd Project/85 - housing-price.zip 465.8 KB
15 - AWS integration with MLflow EndtoEnd Project/86 - housing-price.zip 465.8 KB
3 - MLflow Tracking component/9 - red-wine-quality.csv 96.6 KB
13 - MLflow Client/69 - run-management.zip 34.8 KB
13 - MLflow Client/70 - run-management.zip 34.8 KB
5 - Launch multiple Experiments and Runs/24 - Launching-multiple-experiments.py 14.1 KB
10 - MLflow Model Evaluation/51 - validation-threshold.py 8.0 KB
10 - MLflow Model Evaluation/50 - custom-metric-and-artifact.py 6.3 KB
5 - Launch multiple Experiments and Runs/23 - Launching-multiple-runs.py 6.0 KB
9 - Handling Customized models in MLflow/44 - load-model.py 5.2 KB
10 - MLflow Model Evaluation/48 - evaluate.py 5.1 KB
8 - MLflow Model component/38 - model-signature-and-input-examples.py 5.0 KB
9 - Handling Customized models in MLflow/41 - model-customization.py 4.9 KB
9 - Handling Customized models in MLflow/42 - model-customization.py 4.9 KB
9 - Handling Customized models in MLflow/43 - model-customization.py 4.9 KB
8 - MLflow Model component/38 - infer-signature.py 3.5 KB
11 - MLflow Registry component/56 - registry-register-model.py 3.3 KB
4 - MLflow Logging functions/22 - set-tags.py 3.3 KB
4 - MLflow Logging functions/21 - log-artifacts.py 3.2 KB
6 - Autologging in MLflow/26 - autolog.py 3.1 KB
11 - MLflow Registry component/55 - registry-load-model.py 2.9 KB
4 - MLflow Logging functions/15 - create-experiment.py 2.9 KB
4 - MLflow Logging functions/19 - active-last-active-run.py 2.8 KB
12 - MLflow Project component/59 - simplified-code.py 2.7 KB
3 - MLflow Tracking component/10 - first-ML-code-with-Mlflow.py 2.3 KB
11 - MLflow Registry component/57 - PureElasticNetRegression.py 2.2 KB
4 - MLflow Logging functions/14 - set-get-tracking-uri.py 1.9 KB
3 - MLflow Tracking component/9 - basic-ML-code.py 1.8 KB
14 - MLflow CLI commands/73 - CLI-COMMANDS.py 902 bytes
14 - MLflow CLI commands/74 - CLI-COMMANDS.py 902 bytes
13 - MLflow Client/68 - search-experiment.py 566 bytes
11 - MLflow Registry component/57 - RegisterElasticModel.py 521 bytes
15 - AWS integration with MLflow EndtoEnd Project/77 - Commands-to-run-on-EC2-terminal.txt 315 bytes
12 - MLflow Project component/60 - MLproject.txt 299 bytes
12 - MLflow Project component/62 - MLproject.txt 299 bytes
7 - Tracking Server of MLflow/29 - mlflow-server-command.py 295 bytes
12 - MLflow Project component/65 - run.py 271 bytes
16 - Bonus/87 - Apache Beam course link.txt 121 bytes
16 - Bonus/87 - Mapreduce course link.txt 121 bytes
16 - Bonus/87 - Apache Flink course link.txt 113 bytes
9 - Handling Customized models in MLflow/41 - Mlflow pyfunc.txt 84 bytes
16 - Bonus/87 - BigQuery ML link.txt 82 bytes
14 - MLflow CLI commands/74 - Db migrations link.txt 81 bytes
8 - MLflow Model component/36 - MLflow data types.txt 81 bytes
9 - Handling Customized models in MLflow/44 - Python Model Customization link.txt 81 bytes
15 - AWS integration with MLflow EndtoEnd Project/85 - build-command.txt 77 bytes
16 - Bonus/87 - MLOps Course link.txt 76 bytes
16 - Bonus/87 - BigQuery course link.txt 72 bytes
8 - MLflow Model component/33 - Model flavors.txt 65 bytes
6 - Autologging in MLflow/25 - Automatic Logging link.txt 62 bytes
6 - Autologging in MLflow/27 - Automatic logging.txt 62 bytes
9 - Handling Customized models in MLflow/45 - Custom flavors link.txt 57 bytes
7 - Tracking Server of MLflow/29 - Mlflow server command.txt 53 bytes
12 - MLflow Project component/64 - Backend config link.txt 48 bytes
3 - MLflow Tracking component/9 - Github link.txt 41 bytes
12 - MLflow Project component/3 - Quiz 3.html 13 bytes
4 - MLflow Logging functions/1 - Quiz 1.html 13 bytes
8 - MLflow Model component/2 - Quiz 2.html 13 bytes

Udemy - MLflow in Action - Master the art of MLOps using MLflow tool (8.2024)

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