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Udemy - Ultimate DevOps to MLOps Bootcamp - Build ML CICD Pipelines (8.2025)

  • 02. Conceptual Introduction to MLOps/3. Comparing Three Approaches to AI.mp4 368.0 MB
  • 02. Conceptual Introduction to MLOps/2. Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4 323.4 MB
  • 10. GitOps Based Deployments for MLLLM Apps/7. End to End CI and CD Pielines for ML App.mp4 317.6 MB
  • 02. Conceptual Introduction to MLOps/5. Comparing Devops vs MLOps.mp4 301.0 MB
  • 02. Conceptual Introduction to MLOps/6. Emergence of MLOps Engineer.mp4 240.7 MB
  • 07. Setting up MLOps CI Workflow with GitHub Actions/9. Modular, Multi Stage MLOps CI Workflow Pipeline.mp4 159.3 MB
  • 02. Conceptual Introduction to MLOps/4. MLOps Case Studies – Learning from the Pioneers.mp4 130.0 MB
  • 07. Setting up MLOps CI Workflow with GitHub Actions/4. Writing an executung out first GitHub Actions Workflow.mp4 124.5 MB
  • 04. From Data to Models - Understanding Data Science with Feature Engineering and Ex/2. Learning Data Engineering.mp4 123.0 MB
  • 06. Packaging Model along with FastAPI Wrapper and Streamlit with Containers/6. Writing Dockerfile to package Model with FastAPI Wrapper.mp4 122.3 MB
  • 10. GitOps Based Deployments for MLLLM Apps/6. Continuous Delivery with ArgoCD Applications.mp4 121.5 MB
  • 04. From Data to Models - Understanding Data Science with Feature Engineering and Ex/9. Running Model Experiments to find the Best Model and Hyperparamters.mp4 111.1 MB
  • 09. Monitoring and Autoscaling a ML Model/5. Adding Instrumentation for FastAPI along with Custom Dashboard.mp4 108.2 MB
  • 06. Packaging Model along with FastAPI Wrapper and Streamlit with Containers/9. Packaging and Model Serving Infra with Docker Compose.mp4 107.7 MB
  • 06. Packaging Model along with FastAPI Wrapper and Streamlit with Containers/7. Debugging and Fixing Image Failures, Launch and Validate FastAPI.mp4 101.2 MB
  • 09. Monitoring and Autoscaling a ML Model/13. Adding a Verticle Pod Autoscaler (VPA).mp4 96.8 MB
  • 09. Monitoring and Autoscaling a ML Model/10. AI Based Troubleshooting Monitoring with ChatGPT.mp4 95.5 MB
  • 08. Building Scalable Prod Inference Infrastructure with Kubernetes/6. Deploying Streamlit Frontent App with Kubernetes.mp4 94.2 MB
  • 08. Building Scalable Prod Inference Infrastructure with Kubernetes/9. Connecting Streamlit with Model using Kubernetes native DNS Based Service Discov.mp4 90.9 MB
  • 06. Packaging Model along with FastAPI Wrapper and Streamlit with Containers/11. Summary.mp4 90.0 MB
[磁力链接] 添加时间:2025-10-06 大小:6.9 GB 最近下载:2025-12-08 热度:115


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