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Master Docker and MLOps fundamentals in this 2026 complete Masterclass. Go from zero to deploying multi-container web apps and production-grade ML prediction APIs. Stop the "it works on my machine" problem forever. This comprehensive 5-part masterclass is designed for Software Engineers, Data Scientists, and MLOps professionals who need to move beyond simple scripts and into scalable, containerized systems. We cover the entire lifecycle: from installation to advanced orchestration and AI deployment. What’s inside this Masterclass: Module 1: Foundations – Installation, image management, and the container lifecycle. Module 2: Web Engineering – Containerizing Flask applications and mastering port mapping. Module 3: Orchestration – Building multi-container stacks (Flask + MySQL) with Docker Compose. Module 4: Professional Debugging – Entering containers, real-time log monitoring, and troubleshooting. Module 5: MLOps Implementation – Packaging trained ML models into production-ready Prediction APIs. Why this is the only guide you need: Instead of fragmented tutorials, this course provides a unified mental model. You will learn the exact patterns used by enterprise AI teams in San Francisco and across the tech industry to ship reliable, reproducible software. #Docker #MLOps #DataScience #Python #DevOps #WebDevelopment #Programming2026 #AI #SoftwareEngineering #CloudComputing