Generative AI Ops: Scaling Diffusion Models in Production Virtual Internship
In this virtual internship, students will learn how to operationalize diffusion-based generative AI models, including model versioning, monitoring, and deployment strategies. They will gain hands-on experience with MLOps tools and techniques to scale these models in production environments. By the end of the internship, students will be equipped with the skills to effectively manage the lifecycle of diffusion models and deploy them at scale.
Track Overview
Tasks & Milestones
Diffusion Model Fundamentals
AdvancedIn this task, students will explore the underlying principles of diffusion-based generative AI models, including their architecture, training, and sampling processes.
MLOps for Generative AI
AdvancedIn this task, students will explore the key MLOps practices and challenges for operationalizing diffusion-based generative AI models.
Versioning Diffusion Models with MLflow
AdvancedIn this task, students will implement MLflow to version and track their diffusion models.
Advanced MLflow Features for Generative AI
AdvancedIn this task, students will explore advanced MLflow features and how they can be leveraged to manage the lifecycle of diffusion-based generative AI models.
Containerizing Diffusion Models with Docker
AdvancedIn this task, students will learn how to containerize their diffusion models using Docker.
Deploying Diffusion Models to Kubernetes
AdvancedIn this task, students will learn how to deploy their containerized diffusion models to a Kubernetes cluster.
Monitoring Diffusion Models in Production
AdvancedIn this task, students will implement a model monitoring pipeline for their deployed diffusion models.
Maintaining Diffusion Models in Production
AdvancedIn this task, students will learn how to maintain and update their deployed diffusion models to ensure reliable performance over time.
Prerequisites
- • Proficiency in Python
- • Experience with machine learning and deep learning
- • Familiarity with MLOps concepts
Certificate
Certificate of Completion
Earn a certificate upon successful completion