Course
digicode: VERTML
Agent Platform for Machine Learning Practitioners
This instructor-led one-day course is designed for engineers and data scientists familiar with machine learning models who want to become proficient in using Agent Platform for custom model workflows.
Duration
1 day
Price
800.–
Course facts
Download as PDF- Understanding the key components of Agent Platform and how they work together to support your ML workflows
- Configuring and launching Agent Platform Custom Training and Hyperparameter Tuning Jobs to optimize model performance
- Organizing and versioning your models using Agent Platform Model Registry for easy access and tracking
- Configuring serving clusters and deploying models for online predictions with Agent Platform Endpoints
- Operationalizing and orchestrating end-to-end ML workflows with Agent Platform Pipelines for increased efficiency and scalability
- Configuring and setting up monitoring on deployed models
This practical, hands-on course will provide you with a deep dive into the core functionalities of Agent Platform, enabling you to effectively leverage its tools and capabilities for your ML projects.
1 Training, Tuning, and Deploying Models on Agent Platform
- Understand Containerized Training Applications
- Understand Agent Platform Custom Training and Tuning Jobs
- Understand how to track and version your trained models in Agent Platform Model Registry
- Understand Online Deployment with Agent Platform Endpoints
2 Orchestrating end-to-end Workflows with Agent Platform Pipelines
- Understand Kubeflow
- Understand pre-built and lightweight Python components
- Understand how to compile and execute pipelines on Agent Platform
3 Model Monitoring on Agent Platform
- Understand Feature Drift and Skew
- Understand Model Monitoring for models deployed to Agent Platform Endpoints
Machine Learning Engineers, Data Scientists
- Experience building and training custom ML models
- Familiarity with Docker