Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of MLOps on Kubernetes
- Essential concepts within MLOps.
- Differentiating MLOps from traditional DevOps.
- Addressing key challenges in ML lifecycle management.
Containerizing ML Workloads
- Packaging models alongside training code.
- Optimizing container images for ML efficiency.
- Managing dependencies to ensure reproducibility.
CI/CD for Machine Learning
- Organizing ML repositories to facilitate automation.
- Embedding testing and validation steps into the pipeline.
- Automating triggers for retraining and model updates.
GitOps for Model Deployment
- Applying GitOps principles and workflows.
- Leveraging Argo CD for deploying models.
- Implementing version control for models and configurations.
Pipeline Orchestration on Kubernetes
- Constructing pipelines using Tekton.
- Overseeing multi-step ML workflows.
- Handling scheduling and resource allocation.
Monitoring, Logging, and Rollback Strategies
- Monitoring data drift and model performance metrics.
- Enhancing alerting and observability integrations.
- Implementing rollback and failover procedures.
Automated Retraining and Continuous Improvement
- Creating effective feedback loops.
- Automating scheduled retraining processes.
- Integrating MLflow for tracking and experiment management.
Advanced MLOps Architectures
- Deploying models across multi-cluster and hybrid-cloud environments.
- Scaling team capabilities with shared infrastructure.
- Navigating security and compliance requirements.
Summary and Next Steps
Requirements
- Familiarity with fundamental Kubernetes concepts.
- Practical experience with machine learning workflows.
- Proficiency in Git-based development practices.
Target Audience
- Machine Learning Engineers.
- DevOps Engineers.
- ML Platform Teams.
14 Hours
Testimonials (3)
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and the patience from the trainer to answer to our questions.