Vertex AI Pipelines - The Easiest Way to Run ML Pipelines

Google Vertex AI: The Easiest Way to Run ML Pipelines
📓 Notebook: colab.research.google.com/dri...
📖 Article: / google-vertex-ai-the-e...
If you enjoyed this video, please subscribe to the channel ❤️
🎉 Subscribe for Article and Video Updates!
/ subscribe
/ membership
You can find me here:
LinkedIn: / saschaheyer
Twitter: / heyersascha
If you or your company is looking for advice on the cloud or ML, check out the company I work for.
www.doit.com/
We offer consulting, workshops, and training at zero cost. Imagine an extension for your team without additional costs.
#vertexai #googlecloud #machinelearning #mlengineer #doit
▬ My current recording equipment ▬▬▬▬▬▬▬▬
► Camera for recording and streaming in 4K amzn.to/3QQzwiN
► Lens with nice background blur amzn.to/3dVDAjb
► Connect the camera to PC 4K amzn.to/3ciYyrE
► Light amzn.to/3Rb065M
► Most flexible way to mount your camera + mic amzn.to/3TedZC5
► Microphone (I love it) amzn.to/3QV3mmb
► Audio Interface amzn.to/3CBxj5M
Support my channel if you buy with those links on Amazon
▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction to Vertex AI Pipelines
00:41 Statement
00:55 Vertex AI and Kubeflow
02:00 Basic Pipeline
04:08 Basic Pipeline Code
09:05 Machine Types
09:57 Components
12:00 Share Components
12:26 Predefined Components
13:50 Parameter and Artifacts
14:50 Model Lineage
15:29 Parameterized Pipelines
15:53 Base Image
16:39 Additional Packages
17:03 Monitor Ressource Consumption
17:19 Conditions
17:42 Compare Runs
18:12 Graveyard
18:33 Permissions
19:29 Client Libraries
20:06 API and SDK
20:39 Pricing
20:56 Bye