Udemy - MLOps Bootcamp Mastering AI Operations for Success - AIOps (7.2024)

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文件数目:493个文件
文件大小:13.84 GB
收录时间:2025-07-20
访问次数:1
相关内容:UdemyMLOpsBootcampMasteringOperationsSuccessAIOps2024
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  • 11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.mp4
    566.79 MB
  • 21 - Additional Learning on Topic of MLOps/003 Kubernetes 101 Part 2.mp4
    428.02 MB
  • 21 - Additional Learning on Topic of MLOps/001 MLOps with MLFlow in 1 Hour.mp4
    415.36 MB
  • 17 - Monitor the ML System with WhyLogs/003 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4
    384.7 MB
  • 21 - Additional Learning on Topic of MLOps/005 Bonus Understanding Transformer Architecture.mp4
    383.65 MB
  • 09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.mp4
    330.01 MB
  • 21 - Additional Learning on Topic of MLOps/004 Generative AI and Prompt Engineering Introduction.mp4
    198.36 MB
  • 05 - Packaging the ML Models/002 Typical Experimentation with Dataset.mp4
    176.86 MB
  • 05 - Packaging the ML Models/009 Data Preprocessing part 1.mp4
    167.43 MB
  • 05 - Packaging the ML Models/007 Create Config Module.mp4
    166.11 MB
  • 21 - Additional Learning on Topic of MLOps/002 Kubernetes 101 Part 1.mp4
    159.25 MB
  • 06 - Mlflow - Manage ML experiments/008 MLFlow Project.mp4
    152.08 MB
  • 15 - Deploy Applications with Docker Compose/002 Hands On - Docker Compose with Flask Application.mp4
    148.8 MB
  • 12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.mp4
    141.44 MB
  • 06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.mp4
    140.24 MB
  • 07 - Docker for Machine Learning/002 Introduction to Docker.mp4
    137.63 MB
  • 01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.mp4
    136.31 MB
  • 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/024 Advanced Functions in Pandas DataFrame.mp4
    136.3 MB
  • 15 - Deploy Applications with Docker Compose/003 Hands On - Docker Compose Prometheus Grafana.mp4
    133.76 MB
  • 12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.mp4
    133.61 MB
  • 05 - Packaging the ML Models/026 Packagiing the ML Model & testing.mp4
    132.49 MB
  • 11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.mp4
    132.39 MB
  • 12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.mp4
    131.79 MB
  • 07 - Docker for Machine Learning/004 Working with Docker.mp4
    130.37 MB
  • 06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.mp4
    129.39 MB
  • 16 - Continuous Monitoring of Machine Learning Application/002 Hands On Monitoring of ML Application using Prometheus.mp4
    126.08 MB
  • 06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.mp4
    124.64 MB
  • 10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.mp4
    123.9 MB
  • 08 - Build MLApps using FastAPI/004 Crash course on FastAPI.mp4
    122.29 MB
  • 05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.mp4
    115.6 MB
  • 14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.mp4
    113.88 MB
  • 20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/015 Broadcasting on Numpy Arrays.mp4
    112.97 MB
  • 09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.mp4
    107.01 MB
  • 05 - Packaging the ML Models/005 Understanding the Modular Programming.mp4
    106.56 MB
  • 14 - Continuous Monitoring with Prometheus/014 Monitor the FastAPI Application using Prometheus.mp4
    104.69 MB
  • 10 - Build MLApps using Flask/003 Build ML Model App with Flask.mp4
    104.16 MB
  • 06 - Mlflow - Manage ML experiments/009 MLFlow Models.mp4
    102.75 MB
  • 12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.mp4
    101.05 MB
  • 05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.mp4
    100.71 MB
  • 12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.mp4
    100.51 MB
  • 14 - Continuous Monitoring with Prometheus/017 Trigger Alerts with Grafana.mp4
    100.32 MB
  • 12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.mp4
    100.24 MB
  • 05 - Packaging the ML Models/011 sklearn pipeline.mp4
    99.28 MB
  • 12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.mp4
    96.83 MB
  • 07 - Docker for Machine Learning/008 Dockerize the ML Model.mp4
    95.47 MB
  • 03 - Git and Github Fundamentals for MLOps/008 Git Branch.mp4
    93.87 MB
  • 04 - Crash Course on YAML/001 YAML Crash Course.mp4
    91.84 MB
  • 06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.mp4
    91.35 MB
  • 14 - Continuous Monitoring with Prometheus/012 Monitor the Linux Server with Node Exporter.mp4
    90.23 MB
  • 07 - Docker for Machine Learning/006 Working with Dockerfile.mp4
    89.54 MB
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