Lilly Tech Systems
End-to-End ML Automation
Achieve full ML automation from data labeling through training, evaluation, deployment, monitoring, and feedback loops with a maturity model framework.
Course Lessons
Follow these lessons in order for the best learning experience, or jump to any topic you need.
1. Full ML Automation Vision
Learn about full ml automation vision in the context of end-to-end ml automation. Hands-on examples and best practices.
2. Automated Data Labeling
Learn about automated data labeling in the context of end-to-end ml automation. Hands-on examples and best practices.
3. Training Pipeline Automation
Learn about training pipeline automation in the context of end-to-end ml automation. Hands-on examples and best practices.
4. Evaluation Automation
Learn about evaluation automation in the context of end-to-end ml automation. Hands-on examples and best practices.
5. Deployment Automation
Learn about deployment automation in the context of end-to-end ml automation. Hands-on examples and best practices.
6. Monitoring and Feedback Loops
Learn about monitoring and feedback loops in the context of end-to-end ml automation. Hands-on examples and best practices.
7. Maturity Model for ML Automation
Learn about maturity model for ml automation in the context of end-to-end ml automation. Hands-on examples and best practices.