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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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