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MLOPS COURSE IN PUNE

School of Core AI - Data Science Course

Accelerate your ML career with Pune’s most industry-aligned MLOps Course. Learn how to design pipelines, automate CI/CD, deploy at scale on cloud, and monitor production ML systems. With certification and placement support, unlock opportunities across Hinjewadi, Magarpatta, Kharadi, Yerwada, and Pune’s fast-growing global capability centers.

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Perks of the Program

220+

Pune professionals
already upskilled in MLOps

Weekend & Evening

Flexible live batches
designed for working engineers & freshers

8+ Projects

End-to-end builds: pipelines, CI/CD, serving & monitoring
portfolio-ready

Placement Support

Mock interviews, resume reviews
and direct connects with Pune recruiters

Learning format
Learning Format
Live Online Bootcamp
Course duration
Course Duration
4.5 Months
Next cohort
Next Cohort starts
13 Oct, 2025

Highlights of Our MLOps Course in Pune

Hands-on MLOps Projects
Hands-on MLOps Projects

Build real-world pipelines with Airflow & Kubeflow, track experiments in MLflow, and deploy using Docker & Kubernetes.

Cloud Deployments
Cloud Deployments

Practice deployments on Azure ML (widely used in BFSI GCCs), AWS SageMaker, and GCP Vertex AI.

Pune Industry Focus
Pune Industry Focus

Course content aligned with hiring trends at Infosys, Persistent, Barclays, Mastercard, Tech Mahindra, Veritas, and BNY Mellon.

Mentorship & Doubt Support
Mentorship & Doubt Support

Get 1:1 mentor hours, project reviews, and Slack community support to stay unblocked.

Check Out the Full MLOps Curriculum

This Pune page provides local details. Explore the full curriculum and certification on the main course page.

See Full Curriculum & Certification

Why Learn MLOps in Pune’s IT & GCC Hub?

Pune is home to some of India’s largest IT parks and BFSI global capability centers—from Infosys and Tech Mahindra to Barclays, Mastercard, and BNY Mellon. These teams need engineers who can take models from notebooks to production with reliability and scale.
Our MLOps course blends data science and DevOps, giving you the tools to automate ML pipelines, containerize and deploy models, and monitor them in real-world environments. You’ll work hands-on with MLflow, Airflow, Kubeflow, Docker, Kubernetes, and multi-cloud platforms (Azure ML, AWS SageMaker, and GCP Vertex AI) guided by mentors building these systems in Pune’s ecosystem.

Why Choose SCAI’s MLOps Course in Pune

See how the School of Core AI compares with typical MLOps training options in Pune.

Feature
Format
School of Core AI

Live online sessions + Pune peer learning groups

Other Institutes

Mostly recorded or one-way classes

Feature
Curriculum Depth
School of Core AI

Full MLOps stack: MLflow, Airflow, Kubeflow, Docker, Kubernetes, and multi-cloud

Other Institutes

Basic ML/Python coverage with little on production

Feature
Projects
School of Core AI

8+ industry-style projects: CI/CD pipelines, containerized serving, monitoring

Other Institutes

Toy datasets and academic mini projects

Feature
Mentors
School of Core AI

Engineers from Infosys, Persistent, Tech Mahindra, Barclays GCC Pune

Other Institutes

Trainers without production MLOps background

Feature
Placement Support
School of Core AI

Mock interviews, resume reviews, and direct recruiter connects in Pune

Other Institutes

Limited or no local placement help

Feature
Certification
School of Core AI

Industry-recognized certificate trusted by Pune IT & GCC hiring managers

Other Institutes

Generic completion certificate

Placement-Focused MLOps Training (Live Online)

Expert-Led Sessions
Expert-Led Sessions
Live classes by engineers running production ML platforms at Infosys, Persistent, Tech Mahindra, and Barclays GCC Pune.
For Freshers & Career Switchers
For Freshers & Career Switchers
Whether you’re a fresher, data scientist, ML engineer, or DevOps/SRE — this program is built to transition you into MLOps roles.
Cutting-Edge Tools & Projects
Cutting-Edge Tools & Projects
Hands-on with MLflow, Airflow, Kubeflow, Docker, Kubernetes, Ray Serve, and cloud platforms. Build 8+ portfolio projects aligned to Pune’s product and BFSI firms.
Mentorship & Doubt Clearing
Mentorship & Doubt Clearing
1:1 mentor hours, project code reviews, and Slack community support to keep you moving fast.
Mock Interviews
Mock Interviews
10+ practice rounds covering BFSI GCC case studies, product platform design, and real-world failure/debug scenarios.
Career & Placement Support
Career & Placement Support
Portfolio reviews, resume prep, and recruiter connects for Pune IT services, BFSI GCCs, and SaaS product firms.

MLOps Course in Pune

Deploy, Scale & Monitor ML Systems for Pune’s BFSI & SaaS Leaders
Master the end-to-end MLOps stack—MLflow, Airflow, Kubeflow, Docker, Kubernetes, Azure ML, AWS SageMaker, and GCP Vertex AI. Designed for Pune’s BFSI GCCs, SaaS product companies, and IT majors hiring engineers who can ship ML to production.

What You’ll Learn in the MLOps Course

01
Pipelines & Experimentation
Learn experiment tracking with MLflow, reproducibility with DVC, and orchestration using Airflow & Kubeflow.
02
Serving & Scaling
Package models with Docker, serve them via TorchServe & Ray Serve, and scale on Kubernetes with Canary/Blue-Green rollouts.
03
Cloud MLOps
Deploy ML systems across Azure ML (common in BFSI GCCs), AWS SageMaker (product firms), and GCP Vertex AI (analytics).
04
Observability & Governance
Implement monitoring with Prometheus & Grafana, detect drift, apply fairness checks, track lineage, and optimize costs.

Learning Roadmap: Zero to Production

Industry-Recognized MLOps Certification (Pune)

Earn a certificate valued by Pune’s BFSI GCCs, SaaS startups, and IT majors—your proof of capability in deploying ML models at scale.
data analytics for ai certificate

Top Companies Hiring for MLOps in Pune

Career Opportunities for MLOps in Pune

Pune’s GCCs and SaaS companies are scaling their AI teams. Demand is rising for engineers who can take models into production and keep them reliable.

Roles
  • MLOps Engineer 20-25%
  • ML Engineer 22-26%
  • Data Scientist 18-22%
  • Platform Engineer 8-12%
  • AI Governance 2-4%
MLOps Engineer

Build pipelines, automate CI/CD, deploy to cloud. Median CTC: ₹18–28 LPA.

ML Engineer

Train & serve models, integrate with infra. Median CTC: ₹16–26 LPA.

Data Scientist

Experiment with models, now expected to use MLOps tooling. Median CTC: ₹14–22 LPA.

Platform Engineer

Focus on Kubernetes, observability, and scaling ML workloads. Median CTC: ₹20–30 LPA.

AI Governance

Ensure compliance, fairness, audit trails. Median CTC: ₹12–20 LPA.

In-Demand MLOps Skills

Skills top recruiters look for when hiring MLOps engineers.

Experiment tracking with MLflow & DVC
Experiment tracking with MLflow & DVC
Pipeline orchestration using Airflow & Kubeflow
Pipeline orchestration using Airflow & Kubeflow
Containerization & orchestration with Docker + Kubernetes + Helm
Containerization & orchestration with Docker + Kubernetes + Helm
Cloud MLOps with AWS SageMaker, Azure ML & GCP Vertex AI
Cloud MLOps with AWS SageMaker, Azure ML & GCP Vertex AI
Model serving with Ray Serve & TorchServe APIs
Model serving with Ray Serve & TorchServe APIs
Model monitoring & drift detection
Model monitoring & drift detection
Observability stack: Prometheus, Grafana, logging & alerts
Observability stack: Prometheus, Grafana, logging & alerts
Governance: lineage, access control & compliance
Governance: lineage, access control & compliance
MLOps FinOps: scaling strategies & cost optimization
MLOps FinOps: scaling strategies & cost optimization

Our Student & Alumni Community in Pune

Collaborate with peers from GCCs, IT services, and SaaS firms; join study groups and job referral circles.

Peer-Learning in Pune’s Ecosystem

Peer learning & code reviews
Peer learning & code reviews
Access to project templates
Access to project templates
Networking in Pune IT circles
Networking in Pune IT circles
Mentorship from industry engineers
Mentorship from industry engineers
Placement prep & mock rounds
Placement prep & mock rounds
Alumni work across Pune’s IT parks and GCC hubs in Hinjewadi, Magarpatta, Yerwada, Kharadi, and Baner.

Our Alumni Network

MLOps Course Fees in Pune

Transparent pricing with certification and placement support included.
One-time Plan
69,999
One-time payment covering training, projects, certification, and placement support.
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Swipe to see all steps →

Success Stories from MLOps Learners in Pune

I transitioned from software developer to MLOps engineer at Barclays GCC. The course projects mirrored production pipelines.
amit-joshi
Akash Deshmukh
MLOps Engineer
From data scientist to platform engineer—mentorship and CI/CD projects gave me the confidence to crack interviews.
amit-joshi
Sneha Kulkarni
Platform Engineer
Hands-on practice with Azure ML and Vertex AI helped me join a BFSI GCC role in Yerwada.
amit-joshi
Rohan Patil
ML Engineer
The peer network in Pune was a big plus—mock interviews and project reviews kept me job-ready.
amit-joshi
Priya Joshi
Data Scientist

Frequently Asked Questions

The course runs for 16–18 weeks (approx. 4.5 months) with live sessions and assignments.