Complete MLOps Bootcamp With 10+ End To End ML Projects
End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects
Product Brand: Udemy
Editor's Rating:
4.6
4.6
Complete MLOps Bootcamp With 10+ End To End ML Projects Coupon Code. End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects
Complete MLOps Bootcamp With 10+ End To End ML Projects
Complete MLOps Bootcamp With 10+ End To End ML Projects Course. Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.
What you’ll learn
- 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.
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Who this course is for:
- Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.
- DevOps professionals wanting to integrate ML pipelines.
- Software Engineers interested in transitioning to MLOps.
- Beginners with basic ML knowledge aiming to learn end-to-end deployment.
- IT professionals eager to understand MLOps tools and practices for real-world projects.
Taught by Krish Naik
