Anyscale Courses

Simplified Training, Tuning and Deployment of Foundational Models as a Service with Red Hat OpenShift

Simplify end-to-end lifecycle of foundation models using Red Hat OpenShift Data Science. Learn about cloud-native, scalable stack for training, tuning, and inferencing with integrated open-source components.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

How Snorkel Builds Interactive Enterprise ML Products Using Ray

Explore Snorkel's approach to building scalable, interactive ML systems using Ray for enterprise products. Learn about distributed data processing and in-memory techniques for optimal performance across diverse customer requirements.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Building Samsara's Machine Learning Platform with Ray

Explore how Ray addresses challenges in building Samsara's ML platform, unifying cloud and edge AI development while improving data exploration and model training experiences.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Understanding the Landscape of Latest Large ML Models

Explore the evolving landscape of large ML models, from ChatGPT to open-source projects. Learn how teams use W&B to accelerate development and stay ahead in the rapidly advancing field of AI.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Fast, Flexible, and Scalable Data Loading for ML Training with Ray Data

Explore Ray Data's fast, flexible, and scalable data loading for ML training. Learn how it matches PyTorch and TensorFlow performance while offering advanced features for scale and diverse data types.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Build Augmented Reality Maps With Ray

Explore how Niantic leverages Ray to build precise AR maps, streamline research-to-production pipelines, process user scans efficiently, and create complex 3D environments for immersive experiences.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Embeddings and Vectors: The Key to Production AI

Explore how teams program AI with data using embeddings and vectors, and learn about future approaches for building production AI applications.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Ray, Knative, and Running Serverless Workloads in the Cloud

Explore serverless computing with Ray and Knative. Compare approaches, uncover best practices, and learn about potential pitfalls in serverless development for machine learning and HTTP services.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Easily Scale to Production-Ready Generative AI with NVIDIA and Anyscale

Scale generative AI to production with NVIDIA and Anyscale's partnership. Learn how their combined technologies optimize performance, lower costs, and enable secure deployment of AI services at scale.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Enabling Cost-Efficient LLM Serving with Ray Serve

Discover how Ray Serve optimizes LLM deployment, reducing costs through fine-grained autoscaling, continuous batching, and model parallel inference. Learn to easily deploy Hugging Face models with these optimizations.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Inference Graphs at LinkedIn Using Ray-Serve

Explore LinkedIn's journey in serving complex ML workflows using Ray-Serve, addressing AI application complexity and enhancing AI engineer productivity.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Open Source LLMs: Viable for Production or a Low-Quality Toy?

Explore Llama 2 models' strengths and weaknesses compared to ChatGPT, examining quality, cost, and usability. Learn when to consider open source LLMs and available options for AI development.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Scaling Computer Vision Models with Ray - A Cost-Effective and Efficient Distributed Training Framework

Scale computer vision models efficiently using Ray's distributed training framework. Compare performance with Kubeflow, leveraging cost-effective S3 storage and optimized data processing for improved speed and GPU utilization.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Building Production AI Applications with Ray Serve

Explore Ray Serve's capabilities for efficient ML model deployment, including scalability, high availability, and cost optimization. Watch a live demo of serving an ML application on the Anyscale platform.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

SkyPilot - Run AI on Any Cloud

Explore SkyPilot, an open-source framework for running AI and batch jobs across clouds. Learn how it maximizes GPU availability, reduces costs, and simplifies cloud-agnostic execution for AI practitioners.

• YouTube
• 30 minutes
• Self-Paced
• Free Video