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