This Advanced MLOps tutorial covers how to design, build, and deploy production-grade machine learning systems at scale.
In this video, you will learn:
• End-to-end MLOps architecture
• CI/CD for Machine Learning
• Model versioning and experiment tracking
• Production model deployment strategies
• Monitoring, drift detection, and retraining pipelines
• Scalable ML infrastructure design
• Real-world MLOps best practices
We go beyond theory and implement practical workflows used in modern AI teams.
If you want to become an ML Engineer, AI Engineer, or MLOps Engineer, this deep dive will give you real production-level understanding.
In this video, I'll show you how to fine-tune Google's FunctionGemma-270M model for function calling on real-world data. We'll train an AI to make structured decisions about food products using the OpenFoodFacts dataset—going from 50% to 95%+ accuracy in just 200 training steps.
You NEED to use n8n RIGHT NOW!! It’s a powerful, free, open-source automation tool that will change your life. It destroys Zapier and IFTTT thanks to its power, and its privacy. In this video, I’ll walk you through exactly how to set up n8n, explain the basics, and help you build your very first automation workflows.
You NEED to use n8n RIGHT NOW!! It’s a powerful, free, open-source automation tool that will change your life. It destroys Zapier and IFTTT thanks to its power, and its privacy. In this video, I’ll walk you through exactly how to set up n8n, explain the basics, and help you build your very first automation workflows.
Master MLflow in one go with this complete tutorial. This video covers everything from MLflow basics to advanced tracking, projects, models, and deployment. Perfect for data scientists, ML engineers, and MLOps professionals who want a step-by-step guide without switching videos.