TechWorld with Nana: MLOps Explained - What It Is, Why You Need It and How It Works

MLOps is the behind-the-scenes wizardry that takes your machine learning models from Jupyter notebooks into real-world apps, solving versioning, scaling and data-drift headaches. In this video, you’ll see a banking fraud detection example that perfectly illustrates why classic software processes just don’t cut it for ML.

You’ll get a hands-on tour of containerization, CI/CD pipelines, monitoring and drift detection with tools like Docker, Kubernetes, MLflow, Prometheus and Grafana. Ideal for data scientists, DevOps and cloud engineers (or anyone looking to level up their ML game), you’ll walk through an end-to-end workflow from data collection to production rollout.

Watch on YouTube