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Learn to leverage containers for accelerating AI development workflows in this comprehensive workshop that demonstrates practical applications of containerization technology for data science projects. Discover how containers provide consistent environments and efficient dependency management across development and production systems, enabling you to self-host solutions for experiment tracking and LLM performance monitoring. Explore hands-on techniques for streamlining your AI development experience through containerization, with real-world examples and best practices from a seasoned practitioner with over 10 years of experience in software development and data science. Gain insights into scaling AI solutions and designing robust architectures for various AI applications, drawing from industry expertise at TELUS's AI Accelerator team.
