✅ For data scientists
⏯️ Introduction to MLOps
📎 MLOps Zoomcamp
📎 Neptune Blog
➖➖➖➖➖➖
2️⃣ Model Management
📎 ML Model Registry
📎 ML Experiment Tracking
📎 Experiment Tracking
➖➖➖➖➖➖
3️⃣ Building a pipeline of models
📎 Building End-to-End ML Pipelines
📎 Orchestration Tools
📎 Orchestration & ML Pipelines
➖➖➖➖➖➖
4️⃣ Monitoring models
📎 Evidently AI Blog
📎 NannyML Blog
📎 Model Monitoring
➖➖➖➖➖➖
5️⃣ Introduction to Docker
📎 Docker Tutorial
➖➖➖➖➖➖
6️⃣ Designing ML systems
📎 Designing ML Systems
📎 ML System Design Patterns
📎 ML System Design Interview
➖➖➖➖➖➖
7️⃣ Sample projects
📎 Evidently AI Database
📎 LLMOps Case Studies
➖➖➖➖➖➖
8️⃣ Comprehensive roadmap
📎 MLOps Roadmap 2024
#MLOps #MachineLearning #DataScience #AI #ModelMonitoring #MLPipelines #Docker #MLSystemDesign #ExperimentTracking #LLMOps #NeuralNetworks #DeepLearning #AITools #MLProjects #MLOpsRoadmap
⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟