Full-Stack Data Scientist
End-to-End ML Engineering in 24 Weeks
Go beyond analysis — build, deploy, and maintain production ML systems. Covers data engineering, model development, MLOps, and full-stack web deployment of AI products.
Instructor: Nadia Torres
One-time payment · Lifetime access
What You'll Achieve
Build end-to-end data pipelines with Airflow and Spark
Develop and evaluate ML models for production use cases
Serve models as scalable REST APIs with FastAPI
Build React dashboards for data products
Containerize and deploy with Docker and Kubernetes
Implement CI/CD pipelines for ML systems
About This Program
Courses Included (6)
Data Engineering & Pipelines
36h · 64 lessons
Advanced Machine Learning
40h · 72 lessons
Deep Learning & NLP
34h · 60 lessons
MLOps & Model Serving
30h · 54 lessons
Full-Stack AI Product Development
28h · 48 lessons
Capstone: Deploy Your AI Product
16h · 24 lessons
Your Instructor
Nadia Torres
Lead Instructor
Ready to Start Your Journey?
Join 620+ students who have already enrolled in this program.