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Learn the fundamentals of AI inferencing pipelines and kickstart your own implementation in this 39-minute conference talk from MLOps World. Explore the different types of inferencing pipelines and understand how they differ from other pipeline architectures. Discover a comprehensive Infrastructure-as-code (IaC) reference implementation developed for Vector Institute's AI Deployment Bootcamp, which was successfully delivered to industry partners in late 2024. Examine the practical use of Terraform and Python code for both Google Cloud Platform (GCP) and Amazon Web Services (AWS) backends. Gain insights into MLOps and software development best practices integrated into the pipeline design, making it an ideal starting point for building production-ready AI inferencing systems. The presentation is delivered by Marcelo Lotif, a seasoned software engineer with 17 years of experience, including 8 years as a Machine Learning Engineer across startups and major tech companies like Apple.
