DOCKER · KUBERNETES · MLFLOW
MLOps Training in Hyderabad
Learn ML deployment, CI/CD automation, Docker, Kubernetes, MLflow, Kubeflow, model monitoring and cloud ML platforms in a 3-month program with capstone projects and placement assistance. Classroom and live online batches, easy EMI and a free demo class before you enrol.
★ 4+ Google rating from 100+ reviews · 9,000+ students trained · 523+ batches completed · Teaching since 2021
Trainer: Mr. Bharath Sreeram, MLOps Instructor & Cloud ML Specialist (13+ years) · Updated September 2026
TrainerMr. Bharath Sreeram · 13+ years
Duration3 months
FeesFrom ₹9,999 · EMI
ModesClassroom + online
MLOps Course in Hyderabad
Brolly Academy's MLOps Training in Hyderabad is a 3-month, hands-on program in Python for ML, Git, Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines, cloud ML platforms and model monitoring, taught by Mr. Bharath Sreeram (13+ years in machine learning operations, DevOps and cloud engineering). Plans start at ₹9,999, classes run in the classroom or live online, and every student gets a course completion certificate and placement assistance.
The course is built for students, software engineers, DevOps professionals, data scientists and aspiring ML engineers. With 100+ hours of expert-led sessions, you learn by building production-style ML pipelines, deploying models to the cloud and adding monitoring and alerts, and finish with a portfolio, a polished resume and interview practice for MLOps, ML engineering and AI/DevOps roles in Hitech City, Gachibowli, Madhapur and Kukatpally.
Why choose Brolly Academy for MLOps training?
Training and support✓ Job-focused, industry-ready MLOps curriculum
✓ Trainer with 13+ years in MLOps and cloud
✓ MLflow, Kubeflow, Docker, Kubernetes, Azure ML and SageMaker
✓ Python, CI/CD and cloud deployment in practice
✓ Capstone projects with production ML pipelines
✓ Personalised mentorship and career guidance
✓ Interview question bank and interview preparation
✓ Resume building, LinkedIn optimisation and mock interviews
Flexibility and value✓ Classroom, live online and hybrid learning
✓ Weekday and weekend batch options
✓ Live classes with recorded sessions for revision
✓ Free demo class before you enrol
✓ Affordable fees with simple EMI plans
✓ Syllabus updated for 2026
✓ Brolly Academy course completion certificate
✓ 4+ Google rating from 100+ reviews
MLOps Course Syllabus (12 Modules)
Our MLOps course in Hyderabad follows a 12-module path that takes you from Python, Linux and Git to Docker, Kubernetes, model deployment, MLflow, Kubeflow, cloud ML platforms, CI/CD and monitoring, finishing with a capstone project and placement preparation.
Module 1: Introduction to MLOps
What MLOps is, how it applies DevOps principles to machine learning, the end-to-end ML lifecycle, and how data scientists, ML engineers and IT operations work together.
Module 2: Python for ML & Scripting
Core Python for machine learning and automation scripts, Linux and Bash essentials, YAML basics, and simple model training scripts.
Module 3: Version Control with Git & GitHub
Git and GitHub for ML collaboration, code management and setting up project repositories.
Module 4: Containerisation with Docker
Packaging ML models and their dependencies into Docker containers for repeatable builds and deployments.
Module 5: Model Deployment & APIs
Deploying ML models as services with Flask, FastAPI and REST APIs.
Module 6: Kubernetes & Orchestration
Container orchestration with Kubernetes for automated model scaling, plus workflow orchestration concepts.
Module 7: Experiment Tracking & Model Registry
Tracking experiments, managing model versions and running a model registry with MLflow for reproducible results.
Module 8: ML Pipelines with Kubeflow & Airflow
Automating training jobs and pipeline execution with Kubeflow, scheduling with Airflow, and data ingestion and ETL with Spark.
Module 9: Cloud MLOps Platforms
Integrating ML pipelines with AWS SageMaker, Azure ML and Google Vertex AI for scalable cloud deployment.
Module 10: CI/CD for Machine Learning
Automating model training, testing and deployment with Jenkins and GitHub Actions pipelines.
Module 11: Monitoring, Drift & Governance
Model monitoring and drift detection, automated retraining, logging and alerting with Prometheus and Grafana, and production ML governance and pipeline security.
Module 12: Capstone Project & Career Prep
An end-to-end ML pipeline deployed in the cloud with monitoring and alerts, then interview Q&A, resume building, mock interviews and LinkedIn optimisation.
Get the full MLOps syllabus and fee details on WhatsApp
Send us a message and we will share the complete module list, fee plans, EMI options and the next batch dates. New batches start every week, and a free demo class is available.
MLOps Training Roadmap – Beginner to Advanced in 3 Months
Our MLOps course is a structured 3-month pathway in 4 practical stages, in the classroom or live online, with hands-on projects at every step.
Month 1Python, MLOps foundations & version controlPython for ML and scripting, Linux and Bash, Git and GitHub, basic CI/CD, an introduction to Docker and foundational projects.
Month 2Model deployment, cloud MLOps & experiment trackingDeploy models with Flask, FastAPI and REST APIs, scale with Docker and Kubernetes, and build pipelines with MLflow, Kubeflow, SageMaker, Azure ML and Vertex AI.
Month 3Monitoring, automation & CI/CDModel monitoring, drift detection and automated retraining, ML governance, Jenkins and GitHub Actions, and alerting with Prometheus and Grafana.
Final weeksCapstone project & career prepBuild and deploy an end-to-end ML pipeline in the cloud with monitoring, then interview Q&A, resume building, mock interviews and LinkedIn optimisation.
What is MLOps and Why Is It Important?
MLOps (machine learning operations) applies DevOps principles to machine learning. It streamlines the ML lifecycle from development through deployment, monitoring and maintenance, and brings data scientists, ML engineers and IT operations together so models are delivered reliably. It is used in banking, healthcare, e-commerce, telecom, manufacturing, logistics, insurance and more.
Automates the ML lifecycleData preparation, training, deployment and monitoring run as automated steps.
Bridges teamsConnects data scientists, ML engineers and IT operations for smooth model delivery.
Reproducible modelsVersioning and traceability make every model result repeatable.
CI/CD for MLContinuous integration and deployment bring software discipline to models.
Continuous monitoringTracks model health and performance in production.
Handles model driftDetects drift and triggers automated retraining.
Better governanceImproves oversight and control of models in regulated industries.
Scales ML in productionTakes models from notebooks to reliable, scalable services.
Faster business impactShortens the time from a trained model to real results.
Benefits of the MLOps Course in Hyderabad
Choose classroom or live online training at Brolly Academy and get the same experienced trainer, real-world projects and placement support in either mode.
01Learn from MLOps expertsStep-by-step training on real industry MLOps workflows.
02Master MLOps toolsHands-on with Git, Docker, Kubernetes, MLflow, Kubeflow and cloud ML platforms.
03Build real-world projectsPortfolio-ready work on deployment, pipeline automation and monitoring.
04Get placement supportResume building, job referrals, interview prep and mentorship for MLOps roles.
05Earn a course certificateA Brolly Academy certificate that shows your CI/CD and model management skills.
06Python & cloud foundationPython for ML automation plus AWS, Azure and GCP fundamentals.
07ML pipelines & model managementOrchestration, scheduling, versioning and model registry management.
08Monitoring & dashboardsTrack model drift, pipeline status and data quality with alerting dashboards.
09Learn your wayClassroom, live online, hybrid or weekend batches, with easy EMI.
Thinking of MLOps Training in Hyderabad?
Here is how hands-on training at Brolly Academy compares with a traditional class.
Traditional training✗ You listen passively, with little interaction
✗ Outdated slides and theory-heavy notes
✗ Trainers with only basic knowledge
✗ Rare hands-on practice
✗ Small exercises with little business context
✗ Support ends after the course
✗ Little or no placement or interview prep
✗ No dedicated MLOps training track
Brolly Academy training✓ You code and solve real MLOps problems from day one
✓ Python, Docker, Git, MLflow, Kubeflow and cloud platforms
✓ Mentoring from an experienced MLOps and cloud trainer
✓ Daily labs on deployment, pipelines, monitoring and automation
✓ Capstone projects on ML deployment, CI/CD and retraining
✓ Resume, interview and LinkedIn preparation
✓ Peer discussions on WhatsApp and Discord
✓ Placement guidance and portfolio support
Meet Your MLOps Trainer
INSTRUCTOR
Mr. Bharath Sreeram
MLOps Instructor & Cloud ML Specialist · 13+ years in machine learning operations, DevOps and cloud engineering
Mr. Bharath Sreeram has trained over 350 students in Hyderabad and brings project experience in model deployment for healthcare analytics, automated retraining for financial forecasting, and ML pipeline monitoring for retail and supply chain companies. His expertise covers Python, Docker, Kubernetes, Git, CI/CD, MLflow, Kubeflow and cloud ML platforms on AWS, Azure and GCP. His classes are interactive and practical, with live coding and hands-on production projects that turn freshers and working professionals into job-ready MLOps engineers.
Skills You’ll Gain from the MLOps Course
End-to-end MLOps projectsBuild and deploy projects with Python, Git, Docker, Kubernetes and MLflow.
CI/CD pipelinesAutomate ML model training, testing and deployment.
Data validationPrepare, transform and validate data automatically in pipelines.
Cloud deploymentDeploy models on AWS SageMaker, Azure ML and Google Vertex AI.
Experiment trackingAutomate experiment tracking, model registry and versioning.
Monitoring & alertingUse Prometheus and Grafana to monitor drift, health and performance.
TroubleshootingAnalyse and fix ML models with logging and alerting tools.
ML lifecycle managementAutomated retraining, continuous deployment and pipeline security.
Model evaluationApply evaluation metrics and version control to improve accuracy.
MLOps Capstone Projects
You build portfolio-ready projects that show employers how you deploy, automate and monitor machine learning models, for careers in IT, finance, healthcare and more.
Project 1End-to-end ML model deploymentContainerise and deploy a retail inventory prediction model with Docker, Kubernetes and CI/CD.
Project 2Customer segmentation ML pipelineClustering in scalable pipelines with Kubeflow and MLflow for segment-specific deployment.
Project 3Financial risk monitoring dashboardReal-time Prometheus and Grafana dashboards that track model drift and performance.
Project 4Big data ML pipelineAutomated ingestion and preprocessing of large retail datasets with Spark and Airflow for anomaly detection.
Project 5Enterprise model registry & governanceA central MLflow model registry with governance workflows and version tracking.
Project 6Recommendation API deploymentA real-time recommendation API with collaborative filtering and continuous retraining.
Tools you use: Python · Git & GitHub · Docker · Kubernetes · MLflow · Kubeflow · Airflow · Spark · Jenkins · GitHub Actions · Flask · FastAPI · Prometheus · Grafana · TensorFlow · SQL · AWS SageMaker · Azure ML · Google Cloud
MLOps Course Fee & Offerings in Hyderabad
Choose the plan that suits how you learn. Every plan covers Python for ML, Docker, Kubernetes, CI/CD, cloud deployment and monitoring, with project work and interview support.
Video Recording₹9,999Was ₹15,000
Python for ML, Docker, Kubernetes, CI/CD, cloud deployment and monitoring
80+ recorded lessons
Lifetime video access
1 MLOps capstone deployment project
Resume and interview support
Placement assistance
WhatsApp group for Q&A
Most popularClassroom Training₹29,999Was ₹35,000
3-month structured classroom program
Trainer with real MLOps and cloud experience
Projects: pipeline automation, cloud deployment, monitoring dashboards
One-on-one mentorship and lab assistance
Monthly mock interviews
Soft skills and aptitude training
Dedicated placement officer
WhatsApp support and peer group
Online Course₹24,999Was ₹30,000
Live interactive classes, timings for working professionals and students
3-month program with daily session recordings
Project environment from day 1
Weekly mock interviews
50+ sample project resources
Doubt-clearing sessions
WhatsApp group support
Easy EMI plans are available. Ask about the current batch offer when you book your free demo class.
Placement Program for MLOps Training in Hyderabad
Our placement support helps you build industry-ready MLOps skills and get interviews with IT companies, product companies and startups in Hyderabad and across India.
Resume buildingATS-friendly resumes for MLOps, ML engineering and DevOps roles.
Placement trainingHow to apply, target openings and handle company-specific hiring processes.
Interview question bankMLOps questions on deployments, CI/CD and monitoring.
Internships under expertsInternship opportunities on MLOps and cloud deployment projects.
Real-time projectsA portfolio of pipeline automation, cloud deployment and monitoring work.
Aptitude preparationLogical reasoning, coding and technical problem-solving for interviews.
Personality developmentCommunication, confidence and presentation for client and team work.
Mock interviewsPractice with industry professionals and HR on real MLOps scenarios.
Interview schedulingWe connect you with hiring companies and support you through to an offer.
What Our Students Say About MLOps Training in Hyderabad
"I was impressed by the depth of the MLOps training at Brolly Academy. The instructors were knowledgeable, and the flexible course format let me balance learning with work. I recommend it to anyone who wants to advance in MLOps."Priya
"Brolly Academy’s MLOps training gave me the practical skills and knowledge I needed to manage machine learning models effectively. The hands-on projects and expert instructors made the learning experience thorough and enjoyable."Anita
"The MLOps course at Brolly Academy was a turning point for my career. The course content was detailed, and the real-world applications we worked on were very useful. The training has greatly improved my ability to deploy and maintain ML models."Rajesh
"Brolly Academy’s MLOps training exceeded my expectations. The course was well structured, and the hands-on experience with tools like Docker and Kubernetes was invaluable. I feel much more confident in my MLOps skills now."Sandeep
Student community
Learning & collaborationWork with peers on MLOps projects and solve production ML challenges together.
Resources and toolsGit, Docker, Kubernetes, MLflow, Kubeflow, cloud platforms, datasets and recorded sessions.
NetworkingConnect with MLOps trainers, mentors and tech recruiters in Hyderabad and across India.
MentorshipProject feedback and career advice from senior MLOps and cloud engineers.
Career developmentMLOps job updates, internships, project work and placement assistance.
Pre-requisites & Eligibility
You do not need advanced programming or data science expertise to join our MLOps training in Hyderabad. Basic computer skills and an interest in AI and automation are enough to start; Python basics, ML concepts and Git help, and the course teaches Python for ML and Git in the first month.
No advanced skills requiredBasic knowledge of computers and cloud concepts is enough to start.
Students & graduatesOpen to technical and non-technical graduates who want to enter AI and ML.
Working professionalsIT professionals, data engineers, DevOps engineers and developers can upskill.
Python basics helpPython and scripting are core to MLOps and are taught in the course.
Entrepreneurs & freelancersPut models into production or offer MLOps services independently.
Age 18 and aboveOpen to learners aged 18+ who are keen on AI, ML and automation.
Who Should Learn the MLOps Course?
Data scientistsDeploy, manage and monitor models in real production environments.
ML engineersBuild robust ML pipelines and automate the path from training to deployment.
DevOps & cloud engineersExpand into ML-focused CI/CD and automation with cloud integration.
Software developersMove into AI/ML roles or add scalable ML deployment skills.
Project managers & tech leadsUnderstand the MLOps process behind AI and ML delivery.
Freshers & job seekersPlacement-focused training with hands-on, end-to-end ML lifecycle projects.
MLOps Career Opportunities in Hyderabad
MLOps engineerAutomate ML model deployment and monitoring pipelines.
Machine learning engineerDevelop and optimise ML models for production.
Data engineerBuild data pipelines and infrastructure for ML workflows.
DevOps engineerImplement CI/CD and cloud automation for ML and applications.
ML operations managerOversee MLOps teams and end-to-end model lifecycle management.
Cloud engineerDesign and manage cloud environments for scalable ML applications.
Data scientist with MLOps skillsAnalyse data and ship production-ready ML models.
AI/ML solutions architectArchitect AI and ML solutions with MLOps best practices.
ML platform engineerBuild and maintain platforms for ML automation and scaling.
MLOps engineer salary in Hyderabad – 2026
MLOps engineer₹6–28 LPAFreshers (0–2 years) ₹6–10 LPA · 2–5 years ₹12–18 LPA · senior (5+ years) ₹20–28 LPA
Hiring companiesWhere students applyGoogle · Microsoft · TCS · Infosys · Wipro · HCLTech · Tech Mahindra · Capgemini · Accenture · Deloitte · IBM · Cognizant · Oracle · SAP · Virtusa · Mphasis
MLOps Certification You Will Receive
After completing the course you receive a Brolly Academy MLOps course completion certificate that highlights your hands-on skills in automating ML pipelines, deploying models with Docker and Kubernetes, and using MLOps tools such as MLflow and Kubeflow. Together with your capstone projects, it strengthens your resume for MLOps, ML engineering, cloud deployment and DevOps roles.
Global certifications to aim for next: the course gives you a foundation for vendor exams such as Microsoft Certified: Azure DevOps Engineer Expert, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional DevOps Engineer and Databricks Certified Machine Learning Professional. These are issued and examined by the vendors, and exam fees are separate.
Market trends for MLOps in Hyderabad
Rising AI adoptionMore companies are moving ML models into production and need MLOps to run them.
Automation & AutoMLAuto-retraining triggered by data changes keeps models accurate without manual effort.
Cloud platformsAWS, Azure and Google Cloud provide the scalable infrastructure ML workflows need.
DevOps integrationUnified pipelines for software and ML models speed up releases.
Governance & ethical AIRegulated industries invest in monitoring bias, drift and model behaviour.
Talent demandBFSI, healthcare and retail need specialists to run AI reliably at scale.
MLOps Training in Kukatpally, Hyderabad
Our centre is at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072. Students join from Kukatpally, KPHB Colony, JNTU, Nizampet, Miyapur, Hitech City, Madhapur and Ameerpet (a short metro ride). Can’t make it to class? Join the same course live online.
Other relevant courses
Machine LearningBuild and tune the ML models that MLOps deploys.
Python Full StackPython, web frameworks and databases for full stack development.
AWSCloud computing on Amazon Web Services.
Google Cloud (GCP)Google Cloud Platform fundamentals and data services.
Power BIData modelling, DAX and business dashboards.
TableauInteractive dashboards and visual analytics.
MLOps Training in Hyderabad – FAQs
1. What is the fee for MLOps training in Hyderabad?
Brolly Academy offers three MLOps plans: Video Recording at ₹9,999 (was ₹15,000), Online Course at ₹24,999 (was ₹30,000) and Classroom Training at ₹29,999 (was ₹35,000). Every plan covers Python for ML, Docker, Kubernetes, CI/CD, cloud deployment and monitoring with project work. Easy EMI plans are available, so ask about the current offer at your free demo.
2. How long does it take to learn MLOps at Brolly Academy?
The MLOps course runs for 3 months. Month 1 covers Python, Git and Docker basics, month 2 covers model deployment, Kubernetes, MLflow, Kubeflow and cloud platforms, and month 3 covers monitoring, CI/CD and a capstone project with career preparation. Weekday and weekend batches run in the classroom and live online.
3. Which is the best institute for MLOps training in Hyderabad?
Brolly Academy is a strong choice for MLOps training in Hyderabad. You learn from Mr. Bharath Sreeram, who has 13+ years in MLOps, DevOps and cloud engineering, work with MLflow, Kubeflow, Docker, Kubernetes and cloud ML platforms, build six capstone projects, and get resume, mock interview and placement support, in the classroom or live online.
4. What is taught in the MLOps course syllabus?
The course covers MLOps fundamentals, Python for ML, Linux and Bash, Git and GitHub, Docker, model deployment with Flask and FastAPI, Kubernetes, experiment tracking and model registry with MLflow, pipelines with Kubeflow and Airflow, AWS SageMaker, Azure ML and Vertex AI, CI/CD with Jenkins and GitHub Actions, and monitoring with Prometheus and Grafana.
5. Does MLOps require coding knowledge?
Yes, Python and scripting are essential skills in MLOps, but you do not need advanced programming to join. Basic computer skills are enough to start, and Python basics, ML concepts and Git familiarity help. The course teaches Python for ML, Linux and Bash, and Git and GitHub in the first month before moving to deployment tools.
6. Is MLOps training good for freshers?
Yes. Freshers and graduates from technical and non-technical backgrounds can join, and beginners with Python basics build practical skills step by step. The course starts with Python and MLOps foundations, and you finish with capstone projects, a portfolio, a polished resume and mock interviews that prepare you for entry-level MLOps, ML and DevOps roles.
7. What is the salary of an MLOps engineer in Hyderabad?
MLOps engineers in Hyderabad typically earn around ₹6–10 LPA at entry level (0–2 years), ₹12–18 LPA at mid level (2–5 years) and ₹20–28 LPA at senior level (5+ years), where they lead MLOps teams and plan strategy. Actual pay depends on your skills, projects, cloud experience and employer.
8. Does Brolly Academy provide placement support for MLOps students?
Yes. Brolly Academy provides placement assistance that includes ATS-friendly resumes for MLOps and ML engineering roles, placement training, an MLOps interview question bank, internship opportunities, aptitude preparation, personality development, mock interviews with industry professionals and interview scheduling with hiring companies. The Classroom plan also includes a dedicated placement officer.
9. Will I get a certificate after the MLOps course?
Yes. You receive a Brolly Academy MLOps course completion certificate that shows your skills in ML pipeline automation, Docker and Kubernetes deployment, and MLOps tools. The course also gives you a foundation for vendor exams from Microsoft, Google Cloud and Databricks, which are issued by those vendors and have separate exam fees.
10. Can I learn MLOps online?
Yes. Brolly Academy offers live, interactive online MLOps classes with timings for working professionals and students, daily session recordings and a project environment from day one. You can also join classroom training at our centre near JNTU Metro Station or choose the Video Recording plan. The trainer, syllabus and projects are the same in every mode.
11. What tools are used in MLOps projects?
You work with Python, Git and GitHub, Docker, Kubernetes, MLflow, Kubeflow, Airflow, Spark, Jenkins, GitHub Actions, Flask, FastAPI, Prometheus and Grafana, along with cloud ML platforms such as AWS SageMaker, Azure ML and Google Vertex AI. Every tool is practised hands-on in labs and capstone projects during the course.
12. What is the difference between DevOps and MLOps?
DevOps focuses on the delivery pipeline for software applications. MLOps extends those practices to the machine learning lifecycle, adding data validation, model training, experiment tracking, model versioning, deployment, drift monitoring and automated retraining. Our MLOps course teaches CI/CD and containers together with ML-specific tools such as MLflow and Kubeflow.
13. Does the MLOps course include real-time projects?
Yes. You build six capstone projects: end-to-end model deployment with Docker, Kubernetes and CI/CD, a customer segmentation pipeline with Kubeflow and MLflow, a financial risk monitoring dashboard in Prometheus and Grafana, a big data pipeline with Spark and Airflow, an enterprise model registry, and a recommendation API with continuous retraining.
14. Can I move from data science or DevOps into MLOps?
Yes. Data scientists move into MLOps by learning automation, deployment and DevOps tools, and DevOps or cloud engineers move in by learning the ML lifecycle, experiment tracking and model monitoring. Both paths lead to roles such as MLOps engineer, ML engineer, ML platform engineer and AI/ML solutions architect, and demand is rising across India.
15. Is there an MLOps course near me in Kukatpally or JNTU?
Yes. Brolly Academy is at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072. Students join from Kukatpally, KPHB Colony, Nizampet, Miyapur, Hitech City, Madhapur and Ameerpet. If travel is difficult, you can join the same MLOps course live online.
Got more questions? Talk to our team directly
Contact us and our academic counsellor will get in touch with you shortly. A free demo class is available before you enrol.