MLOps Training in Pune
Learn MLOps in Pune — hands-on training batches across Hinjewadi Phase 1 and Hinjewadi Phase 3. Flexible schedules for working professionals. Covers 17 Comprehensive Modules, 45 Hours of Training, Industry-Relevant Curriculum. 45+ hours of hands-on training.
45+
Hours
16
Modules
18
Topics
4.8
4650 reviews
Intermediate
Level
New
Batches weekly
About MLOps Training in Pune
What This Training Covers
The MLOps Training in Pune programme at Tutorsbot spans 45+ hours across 16 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current AI & Machine Learning industry expectations and hiring patterns.
Enrollment & Training Quality
MLOps Training in Pune is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
16 modules · 18 topics · 45 hrs
01MLOps Fundamentals and ML Lifecycle
9 topics
MLOps Fundamentals and ML Lifecycle
9 topics
- MLOps — Bridging the gap between ML experimentation and production
- ML lifecycle — Data collection, training, evaluation, deployment, monitoring
- MLOps maturity levels — Manual, pipeline automation, and CI/CD for ML
- MLOps vs DevOps — Differences in artifacts, testing, and monitoring
- Reproducibility — Version control for code, data, and experiments
- MLOps tooling landscape — MLflow, Kubeflow, Vertex AI, and SageMaker
- Responsible AI — Fairness, explainability, and bias detection
- MLOps architecture patterns — Centralized, federated, and hub-spoke
- Hands-on: Set up MLOps development environment with Git and Python
02Version Control for ML — Code, Data, and Experiments
9 topics
Version Control for ML — Code, Data, and Experiments
9 topics
- Git for ML — Branching strategies for collaborative development
- DVC — Data Version Control for tracking datasets and model files
- DVC remotes — S3, GCS, and Azure Blob for data storage
- DVC pipelines — Reproducible ML workflows defined in dvc.YAML
- MLflow experiments — Logging parameters, metrics, and artifacts
- MLflow model registry — Versioning and staging models
- Feature stores — Feast for feature management and serving
- Feature engineering pipelines — Batch and real-time computation
- Hands-on: Build versioned ML project with DVC and MLflow tracking
ML Pipeline Orchestration
Topics included
13 more modules available
Enter your details to unlock the complete syllabus
Salary & Career Outcomes
What MLOps Training in Pune graduates earn across roles and cities
60%
Average salary hike after course completion
42 days
Median time to job offer after graduation
Target Roles & Salary Ranges
ML Engineer
0-2 years
₹6L - ₹12L
AI Engineer
2-5 years
₹14L - ₹30L
AI Architect
5+ years
₹25L - ₹50L
Salary by City & Experience
| City | Fresher | Mid-Level | Senior |
|---|---|---|---|
| Bangalore | ₹8L | ₹22L | ₹45L |
| Hyderabad | ₹6.5L | ₹18L | ₹35L |
| Pune | ₹6L | ₹16L | ₹30L |
| Chennai | ₹5.5L | ₹15L | ₹28L |
Career Progression
Fresher
ML Engineer
After completing the course with projects
ML Engineer
AI Engineer
2-3 years of hands-on experience
AI Engineer
AI Architect
5+ years with leadership responsibilities
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated May 2026.
Classroom
Face-to-face classroom training with hands-on guidance.
GST ₹4,881 included
EMI from ₹5,333/mo
or
Tools & Technologies
Hands-on with the production stack used in MLOps Training in Pune
Language
Framework
Platform
Cloud Service
Container
Orchestration
DevOps
Application
Version Control
CLI
About MLOps Training at TutorsBot
MLOps at TutorsBot is a 90-hour deep programme for professionals who need end-to-end automation across model training, deployment, and monitoring. It's available as TutorsBot's flagship MLOps Training In Pune programme, with live online and classroom batches running weekly. You'll train in cohorts of 18 to 24 with mentors who bring 10 to 16 years of AI platform delivery experience in Bangalore and Hyderabad. Recent groups reached 86% capstone completion and typical role outcomes between 14 and 34 LPA. Want full lifecycle ownership instead of fragmented AI workflows?
Our MLOps batches in Pune, Maharashtra serve students and working professionals commuting from Hinjewadi Phase 1, Hinjewadi Phase 3, Kharadi, Viman Nagar, Magarpatta. The city's key IT hubs — EON IT Park Kharadi, Magarpatta Cyber City, Commerzone IT Park, Rajiv Gandhi IT Park Hinjewadi, World Trade Center Pune — drive consistent demand for MLOps talent and attract hiring from across Maharashtra. Pune Metro Purple Line (PCMC to Swargate) and Aqua Line (Vanaz to Ramwadi). Each batch is capped at 20 learners with a 1:10 mentor-to-learner ratio during practical sessions, ensuring personalised attention throughout the programme. Weekend and weekday schedules allow working professionals to upskill without leaving their current roles. New cohorts start every 2-3 weeks, making it easy to plan MLOps training around your work calendar.
Why MLOps? The Numbers Don't Lie
MLOps is now central to enterprise AI because teams need reproducibility, deployment reliability, and continuous monitoring at production scale. Candidates with complete pipeline automation and observability skills often target 15 to 36 LPA opportunities in Bangalore, Pune, and Chennai. Our average batch size is 21, and 82% of assignment-complete learners report strong interview progression. Mentors average 11+ years of implementation depth. Isn't this one of the most durable AI career tracks in 2026?
The local hiring data across Viman Nagar, Magarpatta, Baner and the wider Pune belt speaks clearly: India's second-largest IT employment hub — Hinjewadi alone houses 400,000+ tech professionals. Companies including Cognizant, L&T Infotech, Barclays, HSBC actively post MLOps positions across Pune at above-benchmark salaries, because leaving roles unfilled costs more than paying a premium. Freshers with a strong MLOps portfolio typically start at 3-5.5 LPA, while experienced professionals with 3-5 years of depth reach 7-14 LPA. Senior roles at these firms command 15-27 LPA.
Trained by Working MLOps Architects
You'll learn from active ML platform architects and senior MLOps engineers who run production pipelines for high-scale systems. Most instructors have 11 to 16 years of practical delivery and teach through incident-driven case studies, not only conceptual diagrams. Batches stay around 19 to 23 for detailed architecture and troubleshooting support. Learners in Hyderabad and Bangalore report higher confidence in system design rounds after this approach. Wouldn't real production insight reduce avoidable deployment failures?
Instructors for our Pune MLOps programme come from L&T Infotech and Barclays and similar employers with operations at Rajiv Gandhi IT Park Hinjewadi. They are senior engineers and architects who teach what actually runs in production — and have trained students from Baner, Wakad, Aundh, Pimple Saudagar and across Maharashtra. Each batch is intentionally small — 20 learners maximum — so instructors provide individual code reviews and feedback during every lab session. That kind of attention is what turns training into capability.
Certification That Gets You Hired
This certification validates your ability to version ML assets, orchestrate pipelines, deploy models, monitor drift, and maintain lifecycle governance under real project conditions. Assessments are staged and include full-stack production simulation, with interview prep support for benchmark achievers. Typical post-certification opportunities range from 15 to 35 LPA across Bangalore and Pune. Employers searching for Mlops Training in Pune holders find TutorsBot graduates consistently among the best-prepared candidates. Isn't lifecycle-level competency proof exactly what top AI teams seek?
Recruiters in Pune — especially at L&T Infotech and Barclays hiring from Wagholi, Dhanori, Bhosari, Chinchwad with operations around Rajiv Gandhi IT Park Hinjewadi — increasingly ask for project portfolios and verified credentials before scheduling interviews. A MLOps certification with a strong project profile can make the difference between getting a callback and being filtered out at the resume stage. Our Viman Nagar and Baner batches integrate placement preparation into the curriculum from the start, with mock interviews and resume workshops built into the programme schedule.
MLOps Jobs: Market Demand in 2026
Demand is very strong because enterprises are moving AI initiatives into production and need reliable model operations across environments. In Bangalore, Hyderabad, and Delhi, MLOps roles are active across startups, product firms, and consulting practices. Salary ranges commonly sit between 14 and 38 LPA, depending on architecture ownership and cloud depth. Learners with complete capstones show strong shortlist conversion. Why stay limited to experimentation when production AI roles are expanding rapidly?
From Hinjewadi Phase 3, Kharadi, Viman Nagar, major employers Wipro, Tech Mahindra, TCS run regular recruitment cycles for MLOps professionals across EON IT Park Kharadi, Magarpatta Cyber City, Commerzone IT Park, Rajiv Gandhi IT Park Hinjewadi, World Trade Center Pune. Salaries start at 3-5.5 LPA for entry-level roles, grow to 7-14 LPA at mid-career, and senior professionals earn 15-27 LPA. Mid-size firms and funded startups in the same corridors add further demand.
Who Should Join This Course
This track suits data scientists, ML engineers, and backend developers who want production-grade AI platform capability. You should know Python, ML basics, and software engineering fundamentals before joining. Batch sizes are usually 18 to 24, with mentor support across code, data, and deployment layers. Learners targeting 14 to 30 LPA roles complete this 90-hour programme over 12 to 16 weeks. Can't do weekdays? Weekend formats are available.
Working professionals from Wakad, Aundh, Pimple Saudagar, Kothrud, Shivaji Nagar — Maharashtra's key residential and commercial hubs — make up the majority of our MLOps batches in Pune. Pune Metro Purple Line (PCMC to Swargate) and Aqua Line (Vanaz to Ramwadi). The programme is modular, allowing you to progress at your own pace within the batch schedule. Employers in World Trade Center Pune actively recruit from our graduate pool. Whether you have zero programming experience or are adding MLOps to an existing IT skill set, the curriculum meets you where you are.
What You'll Actually Be Able to Do
By completion, you'll design reproducible pipelines, version datasets and experiments, deploy scalable model services, monitor drift and latency, and automate retraining workflows with governance controls. You'll also build operational dashboards and incident response routines that teams can rely on. Cohorts average 21 learners and 85% capstone completion. In Bangalore and Pune, learners report stronger conversion in senior technical rounds. Isn't this the practical capability gap most AI teams are trying to fill?
By the end of this MLOps programme in Pune, you will have completed projects modelled on real workflows at companies in Commerzone IT Park. Cognizant and L&T Infotech and similar firms use these exact technologies in production. The portfolio you build — developed with mentor code review throughout — becomes the centrepiece of your MLOps job applications. Learners from Pimple Saudagar, Kothrud, Shivaji Nagar, FC Road consistently report that their GitHub profile was the deciding factor in landing interview calls.
Tools You'll Work With Every Day
You'll work with MLOps tools for data/version control, orchestration, model registry, deployment, monitoring, and observability used in production AI ecosystems. Labs include pipeline failures, rollback scenarios, and retraining triggers so your operational judgment improves under realistic pressure. Batch size remains near 20, and mentor experience spans 10 to 16 years. Learners targeting 15 to 34 LPA outcomes gain strong implementation confidence. Why learn isolated tools when end-to-end integration drives real value?
Every tool in the MLOps curriculum is selected based on what Barclays, HSBC, CyberArk and other Pune employers list in their job descriptions for positions at World Trade Center Pune. Our batches serving Wagholi, Dhanori, Bhosari use the same toolchain versions that development teams run in production. The lab environment is set up on day one, and you work with it throughout every module — so by the end of the programme, the tools feel second nature.
Roles You Can Apply For After Training
After this programme, you can target MLOps Engineer, ML Platform Engineer, AI Infrastructure Engineer, and Applied ML Engineer roles. In Bangalore, Hyderabad, and Chennai, salary opportunities often range from 15 to 36 LPA based on cloud, deployment, and architecture depth. We provide portfolio review and mock interviews for active learners with strong conversion trends. Roles matching MLOps Training In Pune With Placement are actively listed on Naukri, LinkedIn, and Glassdoor with consistent demand across major Indian cities. Isn't this one of the clearest routes into high-impact AI engineering?
Employers like HSBC, CyberArk, Infosys hire MLOps talent in Pune at every experience level: entry-level (3-5.5 LPA), mid-career (7-14 LPA), and senior (15-27 LPA). The Chinchwad, Pimple Nilakh, Bavdhan, Pimple Gurav belt has particularly strong demand. Career progression from junior to lead typically takes 5-7 years, with salary increments tied directly to capability — the more production-grade work you can demonstrate, the faster you climb.
Real Students, Real Outcomes
A data scientist from Pune moved into an MLOps engineer role at 17.9 LPA after completing all lifecycle labs and architecture reviews. Another learner in Bangalore transitioned from ML prototyping to a 33.2 LPA platform role within six months through disciplined capstone delivery and interview prep. Recent cohorts averaged 22 learners and 81% final interview progression among completion-focused participants. Instructor experience ranged from 11 to 16 years. Doesn't this reflect real, repeatable career growth?
Our MLOps graduates from Shivaji Nagar, FC Road, Hadapsar, Wagholi, Dhanori, Bhosari, Chinchwad, Pimple Nilakh have been placed at Wipro, Tech Mahindra, TCS across Rajiv Gandhi IT Park Hinjewadi. The alumni network in Maharashtra exceeds 200 professionals who actively mentor new students and refer qualified candidates to hiring managers. Referred candidates have a significantly higher interview-to-offer conversion rate. Several alumni have returned as guest instructors, sharing their industry experience with current batches.
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Industry-Recognised Certificate
Earn a verified Tutorsbot certificate for MLOps, validated through project submissions and assessments.
LinkedIn-importable·Permanent shareable URL·PDF download included
Portfolio of Real Projects
Build production-grade projects reviewed by your instructor. Walk through them in any technical interview.
Instructor code-reviewed·GitHub-hosted portfolio·Interview-ready demos
Placement & Career Support
Dedicated career coaching: resume reviews, mock interviews, LinkedIn optimisation, and introductions to hiring partners.
1-on-1 career coaching·Mock interview rounds·Employer connect programme
Hands-On Lab Experience
Practical assignments and lab exercises that simulate real-world scenarios, ensuring you can apply skills from day one.
Cloud lab environments·Scenario-based exercises·Peer collaboration
Meet Your Instructor
Every MLOps Training in Pune batch is led by a practitioner who teaches from production experience, not textbooks.
Dr. Vikram Mehta
Lead Data Scientist
Ph.D. in Machine Learning with 13+ years in AI/ML. Built recommendation engines and NLP systems for Fortune 500 companies.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire MLOps Trained Professionals
Our MLOps graduates come with verified project experience, industry-standard skills, and are ready to contribute from day one.
Why hire from us
Project-Verified Skills
Assessment-Backed Hiring
Placement-Ready Talent
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about MLOps Training in Pune, answered by our training experts
1What is the fee / cost for MLOps training?
2What salary can I expect after MLOps certification?
3What topics are covered in the MLOps syllabus?
4How long does the MLOps training take to complete?
5Is MLOps a good choice for freshers with no experience?
6What are the prerequisites for MLOps training?
7What job roles are available after completing MLOps?
8Is MLOps certification worth it in 2026?
9What is the scope and future demand for MLOps professionals?
10Can working professionals complete MLOps training alongside their job?
11Where are the MLOps classroom sessions held in Pune?
12Which companies hire MLOps professionals in Pune?
Still have questions?
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