MLOps Course – Build Machine Learning Production Grade Projects

Embark on a comprehensive 3-hour MLOps course that guides you through building production-grade machine learning projects. Learn to apply DevOps principles to machine learning, covering the entire MLOps lifecycle from data ingestion to deployment. Utilize state-of-the-art tools like ZenML, MLflow, and various MLOps libraries to develop a customer satisfaction project using the Olist customer dataset. Master essential skills including data cleaning, model development, evaluation, pipeline creation, experiment tracking, and deployment. Gain hands-on experience with the ZenML dashboard, implement a Streamlit app, and explore the fundamentals of MLOps and ZenML. By the end of this course, you'll have the knowledge and practical skills to build and deploy machine learning models in production environments efficiently.

⌨️ Intro
⌨️ MLOps Fundamentals introduction to mlops
⌨️ Fundamentals of Zenml
⌨️ Customer Satisfaction project
⌨️ Dataset of Olist customer dataset
⌨️ Installing necessary libraries
⌨️ Creating blueprint of steps
⌨️ Zenml Dashboard
⌨️ Implementing steps
⌨️ Working on data cleaning
⌨️ Working on model development
⌨️ Working on evaluation model
⌨️ Run pipeline
⌨️ Implementing experiment tracker
⌨️ Deployment pipeline
⌨️ Streamlit app