⚙️ Machine Learning Systems
Build production-ready ML systems from data pipelines to deployment. Learn distributed training, model serving, MLOps monitoring, and A/B testing for machine learning at scale.
Your Learning Journey
...
Completed
24
Total Lessons
900 min
Total Duration
0 min
Time Learned
1. Foundations
Core concepts and design principles for ML systems
5 lessons
175 min total
2. Data & Features
Build robust data pipelines and engineer powerful features for ML models
4 lessons
145 min total
3. Model Development
Advanced training strategies and scalable model serving architectures
2 lessons
85 min total
4. Production ML
MLOps, monitoring, and experimentation for production ML systems
5 lessons
185 min total
5. Industry Applications
Real-world ML applications across industries with safety and compliance
4 lessons
165 min total
6. Advanced Topics
Cutting-edge research and emerging ML paradigms
4 lessons
145 min total
🚀 New to AI? Start with GenAI!
Most modern AI applications use Generative AI. Learn LLMs, RAG, and AI agents before diving into traditional ML infrastructure.