02 · Curriculum
What's in the course.
- Hand Outs of Lifecycle ManagementPDF
- Video Tutorial on Lifecycle Management11m
Data Engineering · Intermediate
Mastering MLOps Strategies
Welcome to our MLOps course, where we embark on a journey to master the art of deploying, managing, and optimizing machine learning models in real-world settings. MLOps, short for Machine Learning Operations, bridges the gap between data s…
- 24+
- enrolled
- 4 hrs
- of instruction
- 9
- lectures
- 5
- modules
01 · What you'll be able to do
Four things you can ship afterwards.
Welcome to our MLOps course, where we embark on a journey to master the art of deploying, managing, and optimizing machine learning models in real-world settings. MLOps, short for Machine Learning Operations, bridges the gap between data science and IT operations, ensuring seamless integration and scalability of ML models.
Efficiently manage the machine
Efficiently manage the machine learning lifecycle, optimizing each stage for scalability and performance excellence.
Master data generation
Master data generation techniques, vital for creating diverse datasets crucial to robust machine learning model training.
Optimize data storage
Optimize data storage for seamless access, retrieval, and enhanced performance in your machine learning environment.
Streamline data ingestion processes
Streamline data ingestion processes, ensuring a smooth flow of information into your machine learning ecosystem.
04 · Is it for you?
Who it's for, and what to bring.
Built for
- Beginner to mid-level AI professional
Bring with you
- Elevate Your Machine Learning Deployment: Master MLOps Strategies. Harness advanced techniques to streamline model management, deployment, and scaling for optimal performance in production environments.
05 · FAQ
Before you enrol.
Each of the 5 modules is a recorded live session, with slide deck and handouts, readings from that session. Watch at your own pace.
$39.99
Ready to start?
$39.99, or free with Premium membership.