Masterclass: ML in Production: Deploy, Scale & Monitor Your Models

Date: 14-10-2026 Time: 03:00 PM

Sumana pandranki

Consultant Data & AI @ Microsoft

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About Masterclass

Turn notebooks into production ML. This masterclass teaches Data Analysts how to package models, deploy to the cloud with containers, and keep them fast, reliable, and cost-aware—end to end.

Masterclass Outcomes

Notebook to API: Refactor a sklearn model to FastAPI, containerize with Docker.
Cloud & K8s: Helm deploy, autoscaling, canary rollout; map to SageMaker/Vertex.
Batch + Real-Time: Reuse one model artifact for Spark batch and live API.
Observability: Metrics, logs, drift checks; trigger retraining via pipeline.
CI/CD for ML: Build–test–scan–promote with a model registry.

Meet Our Host

Data & AI Consultant II at Microsoft with experience in Azure Data & AI, Microsoft Fabric, and OpenAI APIs. Previously worked as a Data Engineer at Elastacloud and a Big Data Engineer at Mindtree, bringing strong expertise in data engineering, cloud technologies, and AI solutions. Passionate about leveraging data and AI to build scalable, production-ready solutions.

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About Crio.Do

At Crio.Do, we believe that the best way to learn is by doing. Our mission is to empower aspiring developers and data enthusiasts through hands-on learning experiences that go beyond theory. Our unique approach combines real-world projects, industry-relevant skills, and expert-led guidance to prepare you for the challenges of today’s tech industry. Each Crio program is designed to help you build and master practical Software Development, QA Automation, and Data Analytics skills. Focusing on real-world scenarios and challenges, our programs ensure that you don’t just learn – you apply, build, and grow your abilities step-by-step.

Join our vibrant Alumni Network and embark on a journey that takes you from knowledge to experience, and from experience to expertise. At Crio, we’re not just teaching tech skills – we’re building careers

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