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MLOps on Cloud Platforms Training Course in Kharadi, Pune - Certification & Placement 2026

Master AWS SageMaker, Azure ML, Vertex AI, Kubeflow and real MLOps pipelines with the leading MLOps on Cloud Platforms Training Course in Kharadi Pune at DevOps Training Institute. Perfect for learners from Kharadi, Wagholi, Viman Nagar, Wadgaon Sheri, Chandan Nagar, Mundhwa, Keshav Nagar, Lohegaon, Tulaja Bhawani Nagar and Ashoka Nagar, this course covers model monitoring and CI/CD for ML near EON IT Park.

50+ Lessons

60hrs

4,000+ Students Enrolled

4.9 (3800 Ratings)

Top-Rated

Our MLOps on Cloud Platforms Training Course in Kharadi Pune is crafted to help students and professionals from Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon and Ashoka Nagar master MLOps on cloud. You’ll explore AWS SageMaker, Azure ML, Kubeflow, ML pipelines and complete real enterprise MLOps projects through guided labs. Expert instructors make learning practical while preparing you for high-demand MLOps roles in Pune’s booming AI ecosystem near EON IT Park. With dedicated placement help, you’ll be ready to launch your career confidently.

Achieve Your Dream MLOps Career in 90 Days

Course MLOps on Cloud Platforms Training Course – Beginners to Expert Level
Duration 3 Months (60 Hours)
Mode Classroom (Kharadi) & Live Online
Location Kharadi Pune – Serving Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon & EON IT Park Area
Includes 60+ Hours Labs, Projects, Mock Interviews, 100% Placement Support
Guaranteed Placement Assistance
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Why Choose Our RHCSA Training

Discover how our RHCSA Training at DevOps Training Institute, stands out, delivering top-tier education for your IT career.

Features Our RHCSA Training Institute Other Institutes
Trainers 10+ Years Experienced Red Hat Certified Professionals Freshers or Part-time Instructors
Course Curriculum Comprehensive, RHCSA EX200-Focused (Linux Admin, SELinux, LVM) Basic or Outdated Linux Content
Hands-on Experience Real-World Linux Labs & RHCSA Case Studies Minimal or No Practical Exposure
Certifications Globally Recognized RHCSA Certification Generic or Non-Recognized Certificates
Placement Support 100% Placement Assistance + Interview Coaching Limited or No Job Support
Learning Mode Flexible Online + Classroom Options Fixed Schedules, Often Classroom-Only
Resources Lifetime LMS Access, Recorded RHCSA Sessions Limited or No Learning Materials
Batch Size Small Groups with Personalized Mentorship Large, Crowded Classes
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Flexible MLOps on Cloud Platforms Training Course Modes in Kharadi Pune

Choose a learning mode that suits your schedule, from online sessions to in-person classes in Kharadi, Pune near EON IT Park and easy for residents of Wagholi, Viman Nagar, Lohegaon and surrounding areas.

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Live Training

Engage in real-time online sessions with expert instructors, offering interactive learning and immediate feedback.

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Experience personalized coaching tailored to your pace and goals, ensuring focused skill development.

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Learn in-person at our Pune center with hands-on sessions and collaborative peer learning experiences.

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Class Schedule

Class Schedule

Explore flexible learning options tailored to your schedule at Python Training Institute.

Date Mode of Class Batch Form Time Status Action
Tuesday, May 26, 2026 Online/Classroom Weekdays 6:30 PM IST Batch Full Enrollment Closed →
Tuesday, June 2, 2026 Online/Classroom Weekdays 6:30 PM IST Only 1 Seat AvailableMax intake limit is 10 Enrollment Open →
Tuesday, June 9, 2026 Online/Classroom Weekdays 8:00 AM IST Only 5 Seats AvailableMax intake limit is 10 Enrollment Open →
Saturday, May 30, 2026 Online/Classroom Weekends 10:00 AM IST Only 2 Seats AvailableMax intake limit is 10 Enrollment Open →
Tuesday, May 26, 2026

Mode: Online/Classroom

Batch: Weekdays

Time: 6:30 PM IST

Batch Full
Enrollment Closed →
Tuesday, June 2, 2026

Mode: Online/Classroom

Batch: Weekdays

Time: 6:30 PM IST

Only 1 Seat AvailableMax intake limit is 10
Enrollment Open →
Tuesday, June 9, 2026

Mode: Online/Classroom

Batch: Weekdays

Time: 8:00 AM IST

Only 5 Seats AvailableMax intake limit is 10
Enrollment Open →
Saturday, May 30, 2026

Mode: Online/Classroom

Batch: Weekends

Time: 10:00 AM IST

Only 2 Seats AvailableMax intake limit is 10
Enrollment Open →
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MLOps on Cloud Platforms Training Course in Kharadi Pune – Near EON IT Park (2026)

Looking for the best MLOps on Cloud Platforms Training Course in Kharadi Pune that serves Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon, Tulaja Bhawani Nagar and Ashoka Nagar? DevOps Training Institute delivers a complete beginner-to-expert MLOps program right in Kharadi – just minutes from EON IT Park, World Trade Center Pune, Gera Commerzone and Zensar IT Park.

This practical 90-day MLOps on Cloud Platforms Training course in Kharadi Pune welcomes students, freshers, career changers and working professionals from all nearby localities. No prior MLOps experience needed.

Master AWS SageMaker, Azure ML, Kubeflow, ML pipelines and live enterprise MLOps projects through interactive labs. Earn official certification and get full placement assistance to land roles in Pune’s fastest-growing AI/ML sector.

What You’ll Learn in Our MLOps on Cloud Platforms Training Course in Kharadi Pune
  • AWS SageMaker, Azure ML, Google Vertex AI platforms
  • Kubeflow, ML pipelines and model monitoring
  • CI/CD for ML, feature stores and vector databases
  • Real enterprise MLOps projects on cloud
  • Official MLOps certification preparation and real-world case studies
Who Should Join This MLOps on Cloud Platforms Training in Kharadi?
  • Complete beginners with zero MLOps background from Wagholi to Ashoka Nagar
  • College students & freshers from colleges near Viman Nagar, Lohegaon and Kharadi
  • Working professionals from EON IT Park & WTC Pune wanting MLOps expertise
  • Anyone living in Kharadi, Mundhwa, Keshav Nagar, Chandan Nagar, Wadgaon Sheri or nearby localities
MLOps on Cloud Platforms Course Syllabus
Course Curriculum

Our MLOps on Cloud Platforms course in Pune is designed for ML engineers, data scientists, DevOps professionals, and cloud architects who want to master production-grade machine learning operations across AWS, Azure, and GCP. You’ll learn to build fully automated ML pipelines, implement CI/CD for models, manage model lifecycle at scale, monitor drift, ensure governance, and deploy reliable, cost-optimized AI systems. The program is 100% hands-on with daily practical labs, 10+ real-world mini and major projects, a complete end-to-end MLOps capstone platform, certification prep (AWS Certified Machine Learning – Specialty, Azure AI Engineer, Google Professional Machine Learning Engineer), and targeted interview preparation for MLOps Engineer, Cloud ML Engineer, and AI Platform Engineer roles in 2025–2026.

  • MLOps principles, maturity models, and the ML lifecycle
  • AWS SageMaker, Azure ML, Vertex AI – feature comparison
  • Key MLOps challenges and cloud-native solutions
  • Responsible AI, governance, and compliance on cloud
  • LAB: Set up multi-cloud MLOps lab environment

  • Cloud data pipelines with AWS Glue, Azure Data Factory, Dataflow
  • Feature Store (SageMaker Feature Store, Vertex AI Feature Store, Feast)
  • Data versioning, lineage, and quality monitoring
  • LAB: Build production feature store pipeline

  • MLflow, SageMaker Experiments, Vertex AI Experiments
  • Model Registry, versioning, and lineage tracking
  • Experiment reproducibility and collaboration
  • LAB: Implement centralized experiment tracking

  • SageMaker Pipelines, Vertex AI Pipelines, Azure ML Pipelines
  • Kubeflow Pipelines and hybrid orchestration
  • Distributed training and hyperparameter optimization
  • LAB + Mini Project: End-to-end training pipeline

  • Real-time & batch inference (SageMaker Endpoints, Vertex AI Endpoints)
  • Model serving with KServe, TorchServe, and Triton
  • Canary, blue-green, and A/B deployment strategies
  • LAB: Deploy scalable model serving infrastructure

  • Model monitoring with SageMaker Model Monitor, Vertex AI Monitoring
  • Data drift, concept drift, and performance monitoring
  • Prometheus, Grafana, and cloud-native observability
  • LAB + Mini Project: Build complete monitoring dashboard

  • GitHub Actions, GitLab CI/CD, and Jenkins for ML
  • Automated testing, validation, and promotion pipelines
  • Model approval workflows and governance gates
  • LAB: Implement full CI/CD for ML models

  • Terraform, CloudFormation, and Bicep for ML infrastructure
  • Provisioning SageMaker, Vertex AI, and Azure ML resources
  • Policy as Code and compliance automation
  • LAB: IaC-driven MLOps environment provisioning

  • Model security, data privacy, and encryption
  • Access control, audit logging, and lineage
  • Responsible AI dashboards and bias detection
  • LAB: Implement enterprise MLOps governance

  • Spot instances, reserved capacity, and serverless inference
  • Auto-scaling strategies for training and serving
  • Budget alerts, FinOps for ML, and cost dashboards
  • LAB: Optimize MLOps pipeline cost by 40%+

  • End-to-end SageMaker MLOps pipeline
  • Vertex AI automated training & deployment
  • Azure ML + GitHub Actions CI/CD
  • Multi-cloud model registry & monitoring
  • LAB: Full implementation, testing, and documentation

  • Production MLOps platform on AWS SageMaker
  • Automated model lifecycle on Google Vertex AI
  • LAB: Training, evaluation & optimization

  • Hybrid Azure ML + Kubernetes MLOps solution
  • Enterprise model monitoring & retraining platform
  • LAB: Production deployment & monitoring

  • Multi-cloud MLOps platform with model registry
  • Cost-optimized, governed GenAI + traditional ML pipeline
  • LAB: Full pipeline with security & observability

  • 130+ Intensive Labs on cloud MLOps techniques
  • Real-world troubleshooting and scaling challenges
  • Performance, cost & reliability optimization

  • Design enterprise-scale MLOps platform
  • Architecture, tool selection & governance plan
  • LAB: Complete project blueprint

  • Build training, deployment & monitoring pipelines
  • Feature store and model registry integration
  • LAB: Core system development

  • Security hardening, drift detection & alerts
  • Governance and compliance implementation
  • LAB: Full evaluation suite

  • CI/CD integration and automated retraining
  • Cost optimization and scaling strategies
  • LAB: Full production rollout

  • LLMOps, Agentic MLOps & AutoML 2.0
  • Serverless MLOps, edge AI & sovereign clouds
  • Emerging tools, standards & industry directions
  • LAB: Prototype latest MLOps trend

  • Professional MLOps Portfolio (GitHub + Live Demos)
  • Detailed pipeline documentation & runbooks
  • Guided Open-Source Contributions to MLOps tools

  • MLOps Engineer Resume & Portfolio Optimization
  • LinkedIn Thought Leadership & Networking
  • Technical Blogging & Conference Preparation

  • MLOps theory, cloud services & system design questions
  • Live pipeline design & troubleshooting discussions
  • Full Mock Technical + Architecture Interviews
  • Job Strategy for Pune, Bangalore, Remote & Global MLOps Roles

  • AWS Certified Machine Learning – Specialty
  • Google Professional Machine Learning Engineer
  • Azure AI Engineer Associate
  • LAB: Full-length certification mock exams

  • Final capstone demo and architecture presentation
  • Interview-ready portfolio and project walkthrough
  • Placement strategy and mock interviews
  • LAB: Final review and career guidance
MLOps on Cloud Platforms Course Details
Your Fast-Track Path to MLOps on Cloud Platforms Mastery in Pune

Looking for the best MLOps on Cloud Platforms training in Pune? DevOps Training Institute in Pune delivers cutting-edge MLOps on Cloud Platforms training that teaches you how to productionize, scale, monitor, and govern machine learning models on modern cloud platforms. Master real-world skills in end-to-end ML pipelines, model training, deployment, monitoring, drift detection, feature stores, model governance, A/B testing, and cost optimization using AWS SageMaker, Azure Machine Learning, Google Vertex AI, MLflow, and Kubeflow — exactly what top companies are hiring for in 2026.

With intensive hands-on labs, expert instructors having 12+ years of real-world cloud and ML experience, and 50+ production-grade projects, you can complete this MLOps on Cloud Platforms course in Pune and become job-ready in just 45 days. Our Kharadi-based facility provides 24/7 lab access, live classroom training, and personalized mentoring so you can confidently build, deploy, and manage enterprise-grade ML solutions that employers like TCS, Wipro, Infosys, Accenture, and global MNCs demand.

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Course Overview
Course Attribute Details
Course Name MLOps on Cloud Platforms
Certification DevOps Training Institute Certificate
Assessment Duration 120 Minutes
Number of Tasks / Projects 15–20 real-time projects
Format Hands-on, project-based & practical assessment
Passing Score 70%
Course Fee (including Certification) Free Certification Exam For Discount
Validity Lifetime
Eligibility/Prerequisites Basic cloud or DevOps knowledge recommended
Languages English
Certification Criteria
  • Score Requirement: Score at least 70% in the final 120-minute practical assessment and successfully complete all assigned real-time MLOps projects to earn the DevOps Training Institute Certificate.
  • Result Notification: Receive your results and certificate within 3 business days via email.
  • Detailed Scorecard: Get a complete performance report with feedback on ML pipelines, model deployment, monitoring, drift detection, and production readiness.
  • Instant Access: Download your digital certificate and LinkedIn badge immediately after passing.
  • Preparation Support: Our MLOps on Cloud Platforms training in Pune includes mock assessments, 50+ real-world labs, and one-on-one doubt sessions to guarantee first-attempt success.
MLOps on Cloud Platforms Related Real-Time Projects
Hands-On Projects That Make You Industry-Ready

At DevOps Training Institute in Pune, our MLOps on Cloud Platforms course is 100% project-driven. Every student builds real-time, production-grade MLOps solutions on cloud platforms that mirror the exact challenges faced by MLOps engineers in 2026. These projects help you master end-to-end ML pipelines, model training, deployment, monitoring, drift detection, and governance while creating a standout portfolio for interviews at TCS, Wipro, Infosys, and global tech leaders.

Conducted at our Kharadi center with 24/7 lab access and guidance from seasoned cloud and ML experts, all projects are fully customizable to match your college requirements or career goals. You’ll gain practical experience that employers value most — turning experimental models into reliable, scalable, and governed production systems.

MLOps on Cloud Platforms Classroom Project List
  • End-to-End MLOps Pipeline on AWS SageMaker: Build a complete CI/CD pipeline for ML models using SageMaker Pipelines, model registry, and automated training & deployment.
  • Feature Store Implementation: Design and deploy a production feature store on Azure ML or Vertex AI for reusable, versioned features across multiple models.
  • Model Monitoring & Drift Detection: Implement real-time model monitoring, data drift, and concept drift detection with automated alerts and retraining triggers.
  • Serverless ML Inference Platform: Create a scalable, cost-optimized inference service using AWS Lambda, API Gateway, and SageMaker endpoints.
  • Multi-Model A/B Testing System: Deploy and compare multiple model versions in production with traffic splitting and performance tracking.
  • Kubeflow Pipeline on Kubernetes: Build and orchestrate complex ML workflows using Kubeflow on AWS EKS or Azure AKS.
  • ML Model Governance Platform: Implement model versioning, lineage tracking, bias detection, and compliance reporting using MLflow and cloud-native tools.
  • Cost-Optimized ML Training Pipeline: Design an intelligent training pipeline with spot instances, auto-scaling, and cost monitoring across cloud platforms.
  • Hybrid ML Deployment Strategy: Deploy models in a hybrid cloud setup with secure data pipelines and unified monitoring.
  • Autonomous Retraining System: Build a self-healing MLOps pipeline that automatically retrains models when drift is detected.

Note: All projects are 100% hands-on and can be customized according to your college or university project guidelines. We provide complete source code, detailed documentation, deployment scripts, and viva preparation support.

MLOps on Cloud Platforms Training Course Structure & Certification in Kharadi Pune – 2026

Our MLOps on Cloud Platforms training in Kharadi Pune is divided into two clear phases and fully aligned with official MLOps standards at EON IT Park, World Trade Center Pune, Gera Commerzone, and Zensar IT Park – easily accessible for learners from Wagholi, Viman Nagar and beyond.

Aspect Foundation Level (1.5 Months) Advanced MLOps Mastery Level (1.5 Months)
Focus Areas Cloud ML basics, pipelines, monitoring CI/CD for ML, feature stores, enterprise MLOps
Tools & Environment AWS SageMaker, Azure ML basics Kubeflow, vector DBs, secure deployment
Duration 45 Days (Foundation) 45 Days (Advanced Mastery + Certification)
Prerequisites Nil – complete beginners welcome Completion of Foundation Level
Ideal For Students, freshers, non-IT background from Kharadi, Wagholi & Viman Nagar Aspiring MLOps Engineers
Delivery Modes Classroom (Kharadi Center), Live Online, Hybrid with recorded labs & 24×7 support
Certification Official MLOps on Cloud Platforms Professional Certificate + Project Portfolio

Flexible Training Modes – MLOps on Cloud Platforms Training Course in Kharadi Pune

Choose the mode that suits your schedule. All modes include same curriculum, projects, and placement support for students across Kharadi to Lohegaon.

  • Classroom Training at Kharadi Center: Fully hands-on MLOps labs with dedicated trainer near EON IT Park
  • Live Online Training: Real-time interactive classes from anywhere in Pune or India
  • Weekend & Evening Batches: Perfect for working professionals in Kharadi, Wagholi, Viman Nagar, Wadgaon Sheri & Gera Commerzone
  • Hybrid Mode: Mix of classroom + recorded sessions with 24×7 lab access
Meet Your Trainers in Kharadi, Pune
Industry Expert MLOps Trainers Near EON IT Park & World Trade Center Pune

Our MLOps on Cloud Platforms trainers in Kharadi have 12+ years of real industry experience and have successfully trained over 4,000+ students from EON IT Park, World Trade Center Pune, Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon, Tulaja Bhawani Nagar and Ashoka Nagar.

They bring live MLOps project experience from top companies and focus on practical, job-oriented training with resume building and mock interviews tailored for local job markets.

  • 12+ years in MLOps & Cloud ML Technologies
  • Trained 4,000+ students from Kharadi & Pune IT hubs
  • Ex-employees of Barclays, TCS, Infosys & Zensar
  • Strong placement network with direct recruiter connections
  • Personalized mentorship for students from local areas like Rakshak Nagar, Thite Nagar & Vitthal Nagar

Career Benefits & Salary After MLOps on Cloud Platforms Training in Kharadi Pune 2026

MLOps skills are in massive demand across Kharadi, Wagholi, Viman Nagar and entire Pune. Companies at EON IT Park, World Trade Center Pune and Gera Commerzone regularly hire MLOps engineers with attractive packages.

Popular Job Roles & Average Salary in Kharadi Pune (2026)
Job Profile Key Responsibilities Entry-Level Salary (INR) 2–5 Years Salary (INR)
MLOps Engineer ML pipelines & model deployment ₹12L – ₹20L ₹25L – ₹45L+
ML Platform Engineer Kubeflow & cloud ML infrastructure ₹13L – ₹22L ₹28L – ₹50L+
Cloud ML Engineer SageMaker, Azure ML & monitoring ₹14L – ₹23L ₹30L – ₹52L+
DataOps / AI Operations Specialist Feature stores & enterprise MLOps ₹15L – ₹24L ₹32L – ₹55L+

MLOps on Cloud Platforms Training Course Fees in Kharadi Pune – 2026

One of the most affordable and value-packed MLOps on Cloud Platforms Training courses in Kharadi Pune with complete transparency and easy access for learners from Wagholi to Ashoka Nagar.

  • Full Course (Foundation + Advanced MLOps Mastery – 3 Months): ₹15,000 – ₹25,000 only
  • Includes all labs, 8+ real projects, official certification preparation, resume building & lifetime placement support
  • Easy EMI options, early-bird discounts up to ₹3,000 & merit scholarships available
  • Pay only after demo class – 100% money-back guarantee if not satisfied

Tools & Technologies You Will Master in MLOps on Cloud Platforms Training Course in Kharadi Pune – 2026

In our MLOps on Cloud Platforms Training Course in Kharadi Pune, you don’t just learn theory — you gain complete hands-on mastery of the exact MLOps tools used daily by top AI teams near EON IT Park, World Trade Center Pune, Gera Commerzone, and Zensar IT Park. Every concept is taught through practical labs and real MLOps projects so you can build a strong portfolio and become job-ready in just 90 days.

This practical focus is why our students from Kharadi, Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon and nearby areas consistently get placed as MLOps Engineers with attractive starting packages.

MLOps Tools & Techniques Covered:
  • Cloud ML Platforms: AWS SageMaker, Azure ML, Google Vertex AI
  • Orchestration: Kubeflow, MLflow, Airflow
  • CI/CD & Monitoring: ML pipelines, model monitoring, feature stores
  • Advanced Features: Vector databases, secure deployment
  • Mastery Projects: Full production-grade MLOps environments

✅ All topics are taught with 8+ practical MLOps projects + lifetime access to lab environment
✅ Same MLOps stack used by companies in EON IT Park, WTC Pune & Gera Commerzone

100% Placement Assistance – MLOps on Cloud Platforms Training Course in Kharadi Pune (2026)

At DevOps Training Institute, we don’t just teach MLOps – we guarantee your first job in modern AI/ML. Our dedicated Placement Cell in Kharadi Pune has successfully placed over 1,200+ students in 2025 alone into top IT companies near EON IT Park, World Trade Center Pune, Gera Commerzone, Zensar IT Park and across Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon and Ashoka Nagar. With direct recruiter tie-ups and personalized guidance, our MLOps on Cloud Platforms course students consistently land roles as MLOps Engineers with attractive starting packages.

Whether you are a fresher from any of these localities or a working professional looking to switch careers, our end-to-end placement support is designed to make you job-ready within days of completing the course.

What Our Placement Support Includes:
  • Professional Resume Building & Portfolio Creation: ATS-friendly resumes + GitHub portfolio with 8+ real MLOps projects tailored for Kharadi IT companies
  • LinkedIn Profile Optimization: Expert guidance to get noticed by recruiters from TCS, Infosys, Barclays, Zensar, Capgemini, and Accenture
  • Mock Interviews + Technical Preparation: 1:1 sessions covering MLOps topics and company-specific pipeline interview patterns
  • Soft Skills & Communication Training: Group discussions, presentation skills, and confidence-building workshops
  • Direct Recruiter Referrals & Job Drives: Regular campus drives at our Kharadi center and exclusive referral network with 60+ companies
  • Salary Negotiation Guidance: Help you secure the best offer (average fresher package ₹12L–₹20L in 2026)
  • Post-Placement Support: 6 months of mentorship even after joining the company
  • Strong Local Tie-ups: Active collaborations with companies in EON IT Park, World Trade Center Pune, Gera Commerzone, Zensar, TCS, Infosys, Wipro, Barclays, Capgemini, Accenture & 60+ more

Why Choose DevOps Training Institute for MLOps on Cloud Platforms Training in Kharadi Pune?

DevOps Training Institute is the most trusted and highly-rated MLOps on Cloud Platforms training institute in Kharadi Pune, located right in the heart of Pune’s IT corridor. With over 10 years of excellence, we have helped 3,800+ students and working professionals from Kharadi, Wagholi, Viman Nagar, Wadgaon Sheri, Chandan Nagar, Mundhwa, Keshav Nagar, Lohegaon, Tulaja Bhawani Nagar and Ashoka Nagar launch successful careers in MLOps engineering.

Our modern 24×7 lab, industry-expert trainers, real client projects, and 100% placement support make us the top choice for anyone searching “Best MLOps Training near EON IT Park” or “MLOps on Cloud Platforms Training in Kharadi Pune serving Wagholi and Viman Nagar”.

Why 3,800+ Students Trust Us for MLOps on Cloud Platforms Training in Kharadi:
  • 10+ Years of Excellence: One of the oldest and most reliable MLOps training institutes in Kharadi near EON IT Park
  • 4.9★ Google Rating: 3,800+ verified student reviews – Highest rated MLOps course center in Kharadi, Pune
  • Industry Expert Trainers: 12+ years experienced mentors from Barclays, TCS, Infosys & Zensar with live MLOps project exposure
  • 24×7 Lab Access: High-performance MLOps environment for unlimited practice
  • 8+ Real-World Projects: Hands-on mini & major MLOps projects + professional portfolio for job interviews
  • 100% Placement Record: Dedicated placement cell with direct tie-ups to 60+ companies in EON IT Park & World Trade Center Pune
  • Flexible Batches: Weekday, Weekend, Evening & Hybrid batches perfect for students and working professionals
  • Lifetime Doubt Support: Free access to recorded sessions, doubt clearing & updates even after course completion
Our Exact Location – DevOps Training Institute (MLOps on Cloud Platforms Training Institute in Kharadi Pune)

DevOps Training Institute
2nd Floor, Laxmi Kunj, S.NO 48, Opposite Nagar Road,
Sai Nagari, Chandan Nagar, Kharadi, Viman Nagar,
Pune, Maharashtra 411014

  • Just 5 minutes from EON IT Park & 8 minutes from World Trade Center Pune
  • Very close to Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon, Tulaja Bhawani Nagar & Ashoka Nagar
  • Excellent connectivity via Pune-Nagar Road, bus stops & metro
  • Free parking facility available inside the premises

✅ Prime Location in Kharadi | ✅ Easy Access for All Nearby Areas | ✅ Visit Us Today for Free Demo Class

MLOps Training & Certification

Why Learn MLOps on Cloud Platforms in Kharadi at DevOps Training Institute?

Discover why our MLOps course and official certification can transform your IT career.

What kind of certificates will I receive?

You’ll earn the official MLOps on Cloud Platforms Professional certification along with project portfolio credentials, valued by top employers in Kharadi and globally.

Our institute offers hands-on MLOps training, expert instructors, and guaranteed job placement, making it the top choice for advanced MLOps career growth.

Complete the course, pass practical assessments, and receive the official MLOps certification with guidance from our dedicated advisors.

We offer flexible learning modes, real-world MLOps labs, and a complimentary Kubeflow & feature store module to enhance your skills.

Yes, we provide zero-interest EMI options and competitive pricing to make quality MLOps training accessible.

DevOps Certification
Your MLOps Questions

Frequently Asked Questions

Get clear answers about our MLOps on Cloud Platforms Training Course in Kharadi Pune near EON IT Park, World Trade Center Pune & Gera Commerzone – serving Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon and more.

MLOps on Cloud Platforms Training Course at DevOps Training Institute in Kharadi Pune is a complete 90-day beginner-to-expert program near EON IT Park. It covers AWS SageMaker, Azure ML, Kubeflow and real enterprise MLOps projects with 100% placement support for students from Kharadi, Wagholi, Viman Nagar and surrounding areas.

Our MLOps course in Kharadi Pune covers AWS SageMaker, Azure ML, Vertex AI, Kubeflow, ML pipelines, model monitoring and 8+ real-time enterprise MLOps projects.

The complete MLOps on Cloud Platforms Training Course in Kharadi Pune is 3 months (90 days) long, divided into Foundation (1.5 months) and Advanced Mastery (1.5 months) with flexible weekday, weekend and evening batches near EON IT Park.

Yes! Our MLOps on Cloud Platforms Training Course in Kharadi Pune is specially designed for absolute beginners with zero MLOps experience. We start from the very basics and gradually build strong MLOps skills near EON IT Park.

The fees for the full MLOps on Cloud Platforms Training Course (3 months) in Kharadi Pune is ₹15,000 – ₹25,000. It includes all labs, 8+ real projects, official certification preparation, resume building and lifetime placement support with EMI options available.

No prior MLOps knowledge is required. You only need a laptop with minimum 8GB RAM, stable internet and a strong desire to learn. Our course in Kharadi Pune is 100% beginner-friendly and accessible for all nearby localities.

Yes! We offer Classroom at our Kharadi center, Live Online and Hybrid modes. You can attend from anywhere in Pune with 24×7 lab access and recorded sessions – perfect for Wagholi, Viman Nagar and Lohegaon residents.

Yes, every student receives the official MLOps on Cloud Platforms Professional certification along with a project portfolio that is highly valued by recruiters near EON IT Park and World Trade Center Pune.

After completing the course you can apply for MLOps Engineer, ML Platform Engineer, Cloud ML Engineer and AI Operations Specialist roles in companies near EON IT Park, World Trade Center Pune, Gera Commerzone and Zensar IT Park – easily reachable from Wagholi to Ashoka Nagar.

Freshers can expect ₹12L – ₹20L LPA. With 1–2 years experience and MLOps certification, salary ranges from ₹25L – ₹45L+ LPA in top IT companies near EON IT Park and World Trade Center Pune.

DevOps Training Institute is the top-rated MLOps on Cloud Platforms training institute near EON IT Park and World Trade Center Pune with 4.9★ rating, 12+ years experienced trainers, real projects and 100% placement assistance – easily reachable from Viman Nagar, Wadgaon Sheri and Lohegaon.

Yes! We offer dedicated Weekend and Evening batches specially designed for working professionals in Kharadi, EON IT Park, Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa and Gera Commerzone.

Our center is at S.NO 48, 2nd Floor, Laxmi Kunj, Pune Nagar Road, Chandan Nagar, Kharadi, Pune – 411014. Just 5–10 minutes from EON IT Park, World Trade Center Pune and Gera Commerzone – easily reachable from Wagholi, Viman Nagar, Lohegaon and Ashoka Nagar.

Yes, we provide 100% placement assistance with resume building, LinkedIn optimization, mock interviews, technical preparation and direct recruiter referrals to TCS, Infosys, Wipro, Barclays, Zensar, Capgemini and 150+ more companies.

Yes! All students get 24×7 lab access with real-time MLOps environment even after course completion.

Our trainers in Kharadi have successfully trained over 4,000+ students from EON IT Park, World Trade Center Pune, Wagholi, Viman Nagar, Wadgaon Sheri, Mundhwa, Keshav Nagar, Lohegaon and nearby areas.

Training is delivered by industry experts with 12+ years real-world experience from Barclays, TCS and Infosys. They focus on practical, job-oriented training with live MLOps projects and placement guidance.

We offer Classroom Training at Kharadi center near EON IT Park, Live Online Training and Hybrid mode with recorded sessions and 24×7 lab access – ideal for students from Wagholi to Lohegaon.

You can call +91-9031044395 or visit our Kharadi center (S.NO 48, Laxmi Kunj, Chandan Nagar). Book a free demo class and secure your seat. Early-bird discounts and EMI options are available for everyone from Kharadi to Ashoka Nagar.

DevOps Training Institute offers practical training, 4.9★ rating, 3,800+ student reviews, 24×7 lab access, real projects, expert trainers with 12+ years experience and strong placement record near EON IT Park – making us the best choice in Kharadi Pune for learners from Wagholi, Viman Nagar and all nearby areas.

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DevOps Training Institute is the leading DevOps training institute in Kharadi, Pune, offering comprehensive job-oriented DevOps courses and certification programs. Our expert instructors provide hands-on experience and in-depth knowledge to help you master modern DevOps practices, CI/CD pipelines, cloud technologies, automation, containerization, and infrastructure as code. AWS Certified Solutions Architect – Associate Job Oriented DevOps Engineer Program (8 Months) Full Stack DevOps Engineer IT Infra + Cloud + DevOps Integrated Program Job Oriented Cloud Administration Program (6 Months) RHCSA – Red Hat Certified System Administrator Certified Kubernetes Administrator (CKA) Advanced DevOps Training Microsoft AZ-104 | Azure Administrator Associate Docker & Kubernetes Mastery Terraform Linux Administration Ansible Jenkins AWS Certified DevOps Engineer – Professional RHCE – Red Hat Certified Engineer DevSecOps Microsoft AZ-400 | DevOps Engineer Expert Cloud Security OpenShift Administration Multi-Cloud Solutions Site Reliability Engineering (SRE) DevOps Project-Based Training + Capstone Certified Kubernetes Application Developer (CKAD) Hybrid Cloud & Cloud Migration DevOps with Python GitLab CI/CD VMware vSphere / Virtualization Cloud & DevOps Interview Preparation + Placement Program Cloud with Generative AI (GenAI) MLOps on Cloud Platforms AIOps – AI for Cloud Operations AI for Cloud Engineer LLMOps on Cloud Platforms DevOps with Generative AI (GenAI) MLOps – Machine Learning Operations AIOps – AI for IT Operations AI for DevOps Engineer LLMOps – Large Language Model Operations Windows Server Administration

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