index.md

Ray Enablement Content

This collection contains multiple courses on Ray and Anyscale:

Foundations

Anyscale For Admins

• anyscale administrator overview 01
• anyscale administrator overview 02
• anyscale administrator overview 03
• anyscale administrator overview 04
• anyscale administrator overview 05
• anyscale administrator overview 06
• anyscale vm vs k8s 01
• anyscale vm vs k8s 02
• anyscale vm vs k8s 03
• deploy to ec2 01
• deploy to ec2 02
• deploy to ec2 03
• deploy to ec2 04
• deploy to ec2 05
• deploy to ec2 06
• deploy to GCE 01
• deploy to GCE 02
• deploy to GCE 03
• deploy to GCE 04
• deploy to GCE 05
• deploy to GCE 06
• deploy to GCE 07
• deploy to a new EKS 01
• deploy to a new EKS 02
• deploy to a new EKS 03
• deploy to a new EKS 04
• deploy to a new EKS 05
• deploy to a new EKS 06
• deploy to a new EKS 07
• deploy to a new EKS 08
• deploy to a new EKS 09
• deploy to an existing EKS 01
• deploy to an existing EKS 02
• deploy to an existing EKS 03
• deploy to an existing EKS 04
• deploy to an existing EKS 05
• deploy to an existing EKS 06
• deploy to an existing EKS 07
• deploy to an existing EKS 08
• deploy to an existing EKS 09
• deploy to an existing EKS 10
• deploy to an existing EKS 11
• deploy to an existing EKS 12
• deploy to new GKE 01
• deploy to new GKE 02
• deploy to new GKE 03
• deploy to new GKE 04
• deploy to new GKE 05
• deploy to new GKE 06
• deploy to new GKE 07
• deploy to new GKE 08
• deploy to new GKE 09
• deploy to new GKE 10
• deploy to new GKE 11
• deploy to new GKE 12

Anyscale Getting Started

• 101 01 anyscale intro workspace 01
• 101 02 anyscale development intro 01
• 101 03 anyscale compute runtime intro 01
• 101 04 anyscale storage options 01
• 101 05 anyscale logging metrics 01
• 101 06 anyscale intro jobs 01
• 101 07 anyscale intro services 01
• 101 08 anyscale collaboration 01
• 101 09 anyscale org setup 01
• 101 09 anyscale org setup 02
• 101 09 anyscale org setup 03

Llm Serving

• notebook 01
• notebook 02
• notebook 03
• notebook 04
• notebook 05
• notebook 06
• notebook 07
• notebook 01
• notebook 02
• notebook 03
• notebook 04
• notebook 05
• notebook 06
• notebook 07
• notebook 01
• notebook 02
• notebook 03
• notebook 04
• notebook 05
• notebook 06
• notebook 07

Multimodal Ai Workloads

• [README 01](courses/foundations/Multimodal AI Workloads/00_overview/output/README_01.ipynb)
• [01-Batch-Inference 01](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_01.ipynb)
• [01-Batch-Inference 02](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_02.ipynb)
• [01-Batch-Inference 03](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_03.ipynb)
• [01-Batch-Inference 04](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_04.ipynb)
• [01-Batch-Inference 05](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_05.ipynb)
• [01-Batch-Inference 06](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_06.ipynb)
• [01-Batch-Inference 07](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_07.ipynb)
• [01-Batch-Inference 08](courses/foundations/Multimodal AI Workloads/01_batch_inference/output/01-Batch-Inference_08.ipynb)
• [02-Distributed-Training 01](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_01.ipynb)
• [02-Distributed-Training 02](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_02.ipynb)
• [02-Distributed-Training 03](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_03.ipynb)
• [02-Distributed-Training 04](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_04.ipynb)
• [02-Distributed-Training 05](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_05.ipynb)
• [02-Distributed-Training 06](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_06.ipynb)
• [02-Distributed-Training 07](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_07.ipynb)
• [02-Distributed-Training 08](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_08.ipynb)
• [02-Distributed-Training 09](courses/foundations/Multimodal AI Workloads/02_distributed_training/output/02-Distributed-Training_09.ipynb)
• [03-Online-Serving 01](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_01.ipynb)
• [03-Online-Serving 02](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_02.ipynb)
• [03-Online-Serving 03](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_03.ipynb)
• [03-Online-Serving 04](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_04.ipynb)
• [03-Online-Serving 05](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_05.ipynb)
• [03-Online-Serving 06](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_06.ipynb)
• [03-Online-Serving 07](courses/foundations/Multimodal AI Workloads/03_online_serving/output/03-Online-Serving_07.ipynb)

Observability

• 01 general intro and setup 01
• 01 general intro and setup 02
• 01 general intro and setup 03
• 2 Ray Anyscale Observability Overview 01
• 2 Ray Anyscale Observability Overview 02
• 2 Ray Anyscale Observability Overview 03
• 2 Ray Anyscale Observability Overview 04
• 03 Ray Anyscale Observability in Details 01
• 03 Ray Anyscale Observability in Details 02
• 03 Ray Anyscale Observability in Details 03

Ray Ai Libs

• README 01
• 01 Intro Ray AI Libs Overview 01
• 01 Intro Ray AI Libs Overview 02
• 01 Intro Ray AI Libs Overview 03

Ray Core

• 00 Intro Ray Core Basics 01
• 00 Intro Ray Core Basics 02
• 00 Intro Ray Core Basics 03
• 00 Intro Ray Core Basics 04
• 00 Intro Ray Core Basics 05
• 00a Intro Ray Core Advancement 01
• 00a Intro Ray Core Advancement 02
• 00a Intro Ray Core Advancement 03
• 00a Intro Ray Core Advancement 04
• 00a Intro Ray Core Advancement 05
• 00a Intro Ray Core Advancement 06
• 00a Intro Ray Core Advancement 07
• 00a Intro Ray Core Advancement 08
• 00a Intro Ray Core Advancement 09

Ray Data

• 04a Intro Ray Data Industry Landscape 01
• 04a Intro Ray Data Industry Landscape 02
• 04a Intro Ray Data Industry Landscape 03
• 04a Intro Ray Data Industry Landscape 04
• 04a Intro Ray Data Industry Landscape 05
• 04a Intro Ray Data Industry Landscape 06
• 04b Intro Ray Data Structured 01
• 04b Intro Ray Data Structured 02
• 04b Intro Ray Data Structured 03
• 04b Intro Ray Data Structured 04
• 04b Intro Ray Data Structured 05
• 04b Intro Ray Data Structured 06
• 04b Intro Ray Data Structured 07
• 04c Intro Ray Data Unstructured 01
• 04c Intro Ray Data Unstructured 02
• 04c Intro Ray Data Unstructured 03
• 04c Intro Ray Data Unstructured 04
• 04c Intro Ray Data Unstructured 05
• 04c Intro Ray Data Unstructured 06
• 04c Intro Ray Data Unstructured 07
• 04c Intro Ray Data Unstructured 08
• 04c Intro Ray Data Unstructured 09
• 04c Intro Ray Data Unstructured 10
• 04c Intro Ray Data Unstructured 11

Ray Serve

• 05 Intro Ray Serve PyTorch 01
• 05 Intro Ray Serve PyTorch 02
• 05 Intro Ray Serve PyTorch 03
• 05 Intro Ray Serve PyTorch 04
• 05 Intro Ray Serve PyTorch 05

Ray Train

• 01 intro to ray train 01
• 01 intro to ray train 02
• 01 intro to ray train 03
• 01 intro to ray train 04
• 01 intro to ray train 05
• 01 intro to ray train 06
• 01 intro to ray train 07
• 01 intro to ray train 08
• 01 intro to ray train 09
• 01 intro to ray train 10
• 01 intro to ray train 11
• 01 intro to ray train 12
• 01 intro to ray train 13
• 02 integrating ray train with ray data 01
• 02 integrating ray train with ray data 02
• 02 integrating ray train with ray data 03
• 02 integrating ray train with ray data 04
• 02 integrating ray train with ray data 05
• 02 integrating ray train with ray data 06
• 03 fault tolerance in ray train 01
• 03 fault tolerance in ray train 02
• 03 fault tolerance in ray train 03
• 03 fault tolerance in ray train 04
• 03 fault tolerance in ray train 05
• 03 fault tolerance in ray train 06
• 03 fault tolerance in ray train 07

Ray Tune

• 03 Intro Ray Tune 01
• 03 Intro Ray Tune 02
• 03 Intro Ray Tune 03
• 03 Intro Ray Tune 04
• 03 Intro Ray Tune 05

Workloads

Pytorch Lightning

• 02b Intro Ray Train with PyTorch Lightning 01
• 02b Intro Ray Train with PyTorch Lightning 02
• 02b Intro Ray Train with PyTorch Lightning 03
• 02b Intro Ray Train with PyTorch Lightning 04
• 02b Intro Ray Train with PyTorch Lightning 05

Ray Data Batch Inference

• 01 Ray Data batch inference 01
• 01 Ray Data batch inference 02
• 01 Ray Data batch inference 03
• 01 Ray Data batch inference 04
• 01 Ray Data batch inference 05
• 01 Ray Data batch inference 06

Ray Data Processing

• 02 Ray Data data processing 01
• 02 Ray Data data processing 02
• 02 Ray Data data processing 03
• 02 Ray Data data processing 04
• 02 Ray Data data processing 05
• 02 Ray Data data processing 06

Ray Distributed Training

• 04 Ray Train distributed training 01
• 04 Ray Train distributed training 02
• 04 Ray Train distributed training 03
• 04 Ray Train distributed training 04
• 04 Ray Train distributed training 05
• 04 Ray Train distributed training 06

Ray Serve Online Serving

• 03 Ray Serve online serving 01
• 03 Ray Serve online serving 02
• 03 Ray Serve online serving 03
• 03 Ray Serve online serving 04

Train Generative Cv

• 04d1 generative cv pattern 01
• 04d1 generative cv pattern 02
• 04d1 generative cv pattern 03
• 04d1 generative cv pattern 04
• 04d1 generative cv pattern 05
• 04d1 generative cv pattern 06

Train Policy Learning

• 04d2 policy learning pattern 01
• 04d2 policy learning pattern 02
• 04d2 policy learning pattern 03
• 04d2 policy learning pattern 04
• 04d2 policy learning pattern 05

Train Rec Sys

• 04e rec sys workload pattern 01
• 04e rec sys workload pattern 02
• 04e rec sys workload pattern 03
• 04e rec sys workload pattern 04
• 04e rec sys workload pattern 05
• 04e rec sys workload pattern 06

Train Tabular

• 04b tabular workload pattern 01
• 04b tabular workload pattern 02
• 04b tabular workload pattern 03
• 04b tabular workload pattern 04
• 04b tabular workload pattern 05

Train Time Series

• 04c time series workload pattern 01
• 04c time series workload pattern 02
• 04c time series workload pattern 03
• 04c time series workload pattern 04
• 04c time series workload pattern 05
• 04c time series workload pattern 06

Train Vision Pattern

• 04a vision pattern 01
• 04a vision pattern 02
• 04a vision pattern 03
• 04a vision pattern 04
• 04a vision pattern 05
• 04a vision pattern 06
• 04a vision pattern 07
• 04a vision pattern 08
• 04a vision pattern 09