What you’ll learn-51 hours
- Build scalable MLOps pipelines with Git, Docker, and CI/CD integration.
- Implement MLFlow and DVC for model versioning and experiment tracking.
- Deploy end-to-end ML models with AWS SageMaker and Huggingface.
- Automate ETL pipelines and ML workflows using Apache Airflow and Astro.
- Monitor ML systems using Grafana and PostgreSQL for real-time insights.
How to Enroll Complete MLOps Bootcamp With 10+ End To End ML Projects course?
How many members can access this course with a coupon?
Complete MLOps Bootcamp With 10+ End To End ML Projects Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!