
Data Science with MLOps
Course Description
Learn end-to-end data science workflows from data processing to model deployment.
Build predictive models using machine learning and statistical techniques.
Develop advanced AI solutions using deep learning frameworks.
Work with Natural Language Processing for intelligent text analysis applications.
Deploy scalable machine learning systems using modern MLOps practices and cloud platforms.
Why Data Science with MLOps is in High Demand
Data-Driven Businesses: Organizations rely on data insights for strategic decisions.
AI Adoption: Machine learning powers modern products and digital platforms.
Production AI: MLOps enables reliable deployment of machine learning systems.
Industry Applications: Data science is used across finance, healthcare, e-commerce, and technology.
Curriculum Summary
- Database Introduction ,Datatypes,Constraints,Statements in SQL and Software Installation.
- Data Query Language (DQL)
- Operators
- Functions in SQL
- JOINS
- Data Definition Language (DDL)
- Data Manipulation Language (DML)
- Transaction Control Language (TCL)
- Data Control Language (DCL)
- Normalization
Student Reviews
★★★★★ Excellent course with practical projects.