Course Outline
Foundations of MLOps on Kubernetes
- Core principles of MLOps
- Distinguishing MLOps from traditional DevOps
- Primary challenges in ML lifecycle management
Containerizing ML Workloads
- Packaging models and associated training code
- Optimizing container images for ML workloads
- Managing dependencies to ensure reproducibility
CI/CD for Machine Learning
- Structuring ML repositories to facilitate automation
- Incorporating testing and validation steps
- Triggering pipelines for retraining and model updates
GitOps for Model Deployment
- Understanding GitOps principles and workflows
- Leveraging Argo CD for model deployment
- Implementing version control for models and configurations
Pipeline Orchestration on Kubernetes
- Constructing pipelines using Tekton
- Managing complex, multi-step ML workflows
- Handling scheduling and resource allocation
Monitoring, Logging, and Rollback Strategies
- Monitoring data drift and model performance
- Integrating alerting systems and observability tools
- Implementing rollback and failover procedures
Automated Retraining and Continuous Improvement
- Designing effective feedback loops
- Automating scheduled retraining processes
- Using MLflow for tracking and experiment management
Advanced MLOps Architectures
- Multi-cluster and hybrid-cloud deployment models
- Scaling teams through shared infrastructure
- Addressing security and compliance requirements
Summary and Next Steps
Requirements
- A solid grasp of Kubernetes fundamentals
- Practical experience with machine learning workflows
- Proficiency in Git-based development practices
Target Audience
- ML engineers
- DevOps engineers
- ML platform teams
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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.
