Don’t Miss: Hands-On Ray Training at Ray Summit 2024
Looking to take your AI and ML skills to the next level? Ray Training Day might be for you. Join us in-person on September 30th for a full day of intensive Ray training designed to help you enhance your skills in GenAI and LLMs.
Regardless of your experience level, Ray Training Day has sessions for you—both beginners and advanced practitioners will leave with valuable insights and practical knowledge. You will be guided through the Ray AI Libraries and their real-world applications, backed by our experience working with top Ray users. Choose from our catalog of sessions covering a range of topics (from the fundamentals of Ray to advanced techniques for building scalable AI systems).
By the end of the day, you will have all the skills you need to simplify and optimize large-scale machine learning workflows, making it easier to handle complex AI projects.
Join us to enhance your AI toolkit and stay ahead in the rapidly evolving field of artificial intelligence. Register now for an unforgettable learning experience that will transform your approach to AI and ML.
LinkAgenda at a glance
Ray Summit 2024: September 30-October 2nd in San Francisco, CA
September 30: Ray Training Day
October 1-2: Ray Summit Conference
LinkMorning
Introduction to Ray AI Libraries With Pytorch - Build Cost Efficient and Performant Distributed ML Workflows
Level: Beginner
Simplify large-scale ML workflows with Ray Data, Ray Train, and Ray Serve.
Ray Core Masterclass: Architectures, Best Practices, Internals
Level: Intermediate to Advanced
Deep dive into Ray's architecture, best practices, and performance optimizations.
RAG Applications - From Quickstart to Scalable RAG
Level: Beginner
Build and deploy RAG-powered applications for enhanced information retrieval and generation.
LinkAfternoon
Scalable Generative AI with Stable Diffusion Models - From Pre-Training to Production
Level: Intermediate to Advanced
Create scalable systems for text-to-image models with Ray.
End-to-end LLM workflows at scale - MLOps best practices meets Large Language Models
Level: Intermediate to Advanced
Fine-tune large language models using MLOps best practices.
Reinventing Multi-Modal Search with LLMs and Large Scale Data Processing
Level: Intermediate to Advanced
Enhance search systems with scalable multi-modal data processing using Ray and MongoDB.
LinkRecommended learning paths
The Training Day experience is carefully designed to ensure that every practitioner gains practical, hands-on knowledge, empowering them to effectively apply what they learn to real-world scenarios. To address the variety of needs and priorities, we have identified five major learning paths, each tailored to provide focused and relevant training content.
You will be asked to choose morning and afternoon sessions during registration. The table below will help you select the training that best suits your needs.
You are… | Summary learning path | Recommended morning session | Recommended afternoon session |
|---|---|---|---|
ML Platform builder | Pick sessions centered around using Ray for large scale ML workloads, like large scale data processing on CPUs and GPU and distributed model training. | Ray Core Masterclass: Architectures, Best Practices, Internals | End-to-end LLM workflows at scale - MLOps best practices meets Large Language Models |
New to Ray | Attend the morning Introduction to Ray session to be introduced to the basics. Then, in the afternoon, learn how to apply your newly gained knowledge to a real-world GenAI scenario. | Introduction to Ray AI Libraries With Pytorch - Build Cost Efficient and Performant Distributed ML Workflows | Scalable Generative AI with Stable Diffusion Models - From Pre-Training to Production |
New to Ray but have prior experience in distributed systems | Join sessions that introduce Ray in more depth (including Ray Core), and learn how to leverage Ray and other tools to build large-scale, distributed applications. | Ray Core Masterclass: Architectures, Best Practices, Internals | Reinventing Multi-Modal Search with LLMs and Large Scale Data Processing |
Curious about LLM-enabled applications | Opt for our training sessions about RAG and LLMs. | RAG Applications - From Quickstart to Scalable RAG | End-to-end LLM workflows at scale - MLOps best practices meets Large Language Models |
A tech executive, investor, or domain expert | Select training sessions that introduce cutting-edge topics and provide insights into the latest trends in distributed computing and AI. | RAG Applications - From Quickstart to Scalable RAG | Reinventing Multi-Modal Search with LLMs and Large Scale Data Processing |
LinkMeet the Team
Our hands-on training program is designed, built, and maintained by the original creators of Ray and other world class Ray experts. Every participant at Ray Training Day will receive an authentic, in-depth learning experience, guided by those who understand the intricacies of Ray from its inception to its latest advancements.
LinkJoin us at Ray Summit 2024
Sign up for Ray Training Day to build and expand your Ray knowledge. Only available in person in San Francisco on September 30, 2024. Note that we do expect tickets to sell out, so grab your spot today before it’s too late!
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