Ruby AI Engineering Training & Planning Workshop

Premier AI training for Ruby developers. Elevate your skills and transform your applications with cutting-edge AI techniques.

A collaboration between MAX.IO and Identus Consulting

WHO THIS IS FOR

  • Intermediate to Expert Rubyists eager to build AI applications
  • CTOs and VPs of Engineering seeking to drive AI initiatives with a solid understanding

WHAT YOU'LL BE ABLE TO DO

  • Master the tools, libraries, and frameworks supporting AI development in Ruby
  • Skillfully structure and implement AI projects within Ruby ecosystems
  • Seamlessly integrate AI technologies (RAG, Multimodal Search, AI Agents) into Ruby applications
  • Understand AI fundamentals and their practical implementation in Ruby contexts

WHO WE ARE

Max Irwin

Founder & CEO

Max Irwin is the founder of MAX.IO, the organizer of the Flower City AI conference, and a contributing author of the book AI Powered Search. He has 24 years of experience helping companies build software products, has trained hundreds of technical and non-technical people in search and AI, and has been leveraging AI to solve knowledge discovery problems since 2015.

LinkedIn Profile
Landon Gray

Founder & AI Engineer

Landon Gray is a Rubyist, speaker, strategic advisor, and AI engineer currently working to help organizations leverage AI solutions. With over a decade of experience in software development and 6 years in consulting, Landon specializes in Ruby/Rails and AI engineering.

LinkedIn Profile

WHAT WE WILL COVER

We cover the uses, advantages, and challenges of integrating AI into your products.

Foundational AI Concepts

  • Introduction to Vector Search: How it works, benefits, use cases, and gotchas
  • Introduction to NLP: Named Entity Recognition, Classification, and Question Answering
  • Hybrid Search: Combining multiple search features for a robust knowledge retriever

Advanced AI Technologies

  • Generative AI: How GPT works, using GPT/LLMs successfully with fact-based grounding
  • Multimodal: Image and text similarity models for ecommerce, property search, and more
  • Agents and Chaining: Integrating AI to enable complex workflows and automate services

Practical Implementation

  • Getting to Production: accuracy, scalability and cost challenges and how to solve them

Workshop Details

  • A comprehensive 8-hour course for Developers, Product Owners, and Directors
  • A deep planning session to apply AI to your product or feature

Cost: $1200 per person, minimum 10 seats