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MLOPS COURSE IN PUNE

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.

4.9★
Average Rating
1000+
Students Placed
150+
Hiring Partners
100%
Placement Support

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
Live Online Bootcamp
Course Duration
4.5 Months
Next Cohort starts
02 Mar, 2026

Highlights of Our MLOps Course in Pune

Hands-on MLOps Projects

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

Cloud Deployments

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

Pune Industry Focus

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

Mentorship & Doubt Support

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

Main Course Page

Check Out the Full MLOps Curriculum

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

No signup required — explore at your own pace

What you'll find on the main page

Full Curriculum

Deep-dive modules covering every topic end to end

Hands-on Projects

Build portfolio-ready apps with real-world datasets

Certification

Industry-recognized certificate on completion

Career Support

Placement prep, mock interviews and resume reviews

Fee and EMI Plans

Transparent pricing with flexible payment options

4.9 Rated

Top-rated by 340+ working professionals across India

Industry-Recognized CertificationLive Mentor-Led SessionsPlacement Assistance4.9 ★ Average Rating

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)

01

Expert-Led Sessions

Live classes by engineers running production ML platforms at Infosys, Persistent, Tech Mahindra, and Barclays GCC Pune.

02

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.

03

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.

04

Mentorship & Doubt Clearing

1:1 mentor hours, project code reviews, and Slack community support to keep you moving fast.

05

Mock Interviews

10+ practice rounds covering BFSI GCC case studies, product platform design, and real-world failure/debug scenarios.

06

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

1

Foundation

  • Core concepts
  • Tools & setup
  • Hands-on intro
2

Build

  • Advanced techniques
  • Guided projects
  • Industry tools
3

Specialise

  • Elective tracks
  • Capstone project
  • Peer reviews
4

Launch

  • Portfolio prep
  • Mock interviews
  • Placement drive

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.

Certificate of Completion

Issued by School of Core AI upon successful completion of the programme

Top Companies Hiring for MLOps in Pune

Persistent – AI/ML Ops engineering
Barclays – BFSI ML platform hiring
Bajaj Finserv – Risk & data MLOps
Tech Mahindra – Cloud ML ops roles
Infosys Pune – AI/ML deployment teams
Credit Suisse – Data platform ops
HSBC GLT – BFSI AI systems
Capgemini Pune – Cloud AI ops
Cognizant – Data pipelines & ML
Zensar – AI product ops hiring
L&T Infotech – AI infra teams
FIS Global – Fintech ML ops
Symantec Pune – ML security ops
Veritas – Data AI pipelines
Deutsche Bank Pune – AI ops hiring

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.

1
Experiment tracking with MLflow & DVC
2
Pipeline orchestration using Airflow & Kubeflow
3
Containerization & orchestration with Docker + Kubernetes + Helm
4
Cloud MLOps with AWS SageMaker, Azure ML & GCP Vertex AI
5
Model serving with Ray Serve & TorchServe APIs
6
Model monitoring & drift detection
7
Observability stack: Prometheus, Grafana, logging & alerts
8
Governance: lineage, access control & compliance
9
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

Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.

Total Course Fee
60,000

Final fee, EMI plans and any ongoing offers will be confirmed by your counsellor based on your batch, mode and payment preference.

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AI Architect (Coming Soon)

Lead AI platform design

Success Stories from MLOps Learners in Pune

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

Frequently Asked Questions

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