MLOps with Google Vertex AI

Are you a data-driven person, and would love to get to know MLOps better? Let me introduce you to an amazing Google MLOps product - Vertex AI! First things first - why MLOps, and why Vertex AI?

MLOps (from Wikipedia) - “set of practises that aims to deploy and maintain ML models in production reliably and efficiently”, similarly to DevOps. So, we could rephrase that to - logistics of using ML models from your Python Notebooks in real life”, and it contains everything, from data engineering to SaaS deployment. Vertex AI - a unified artificial intelligence platform, to build, deploy, scale your ML models faster, with pre-trained or completely custom tools. So what exactly does Vertex AI offer to you, as a data-driven person (read: any data related position, from data engineer, to data scientist)? The list is vast and broad, so here are some key features:

• AutoML, powered by Google’s state-of-the-art transfer learning and hyperparameter search technology
• Deep Learning VM Images - easily instantiate Virtual Machines with the most popular AI frameworks without worrying about software compatibility
• Data Labelling - get highly accurate labels from human labelers for better models
• Deep Learning Containers - quickly and consistently build and deploy your models
• Explainable AI, experimentation workbench, managing and monitoring models, version control on each stage of the pipeline, pipeline manager, API inference, tensorboard, neural architecture search and so much more!