Do I need prior ML or DevOps experience?

Not necessarily. Having some Python and Linux basics will make it easier, but we start with the foundations. Many learners join from ML engineering, data science, DevOps/SRE, or software backgrounds and transition smoothly into MLOps.

Which tools will I learn during the course?

You’ll get hands-on experience with the full MLOps stack—MLflow, Airflow, Kubeflow, Docker, Kubernetes, TorchServe, Ray Serve, Jenkins, GitHub Actions, Prometheus, and Grafana. Plus, we cover cloud platforms like Azure ML, AWS SageMaker, and GCP Vertex AI.

What job roles can I target after completing the MLOps course?

Our graduates typically move into roles like MLOps Engineer, ML Engineer (Production), AI Platform Engineer, and Cloud ML Engineer. Hyderabad’s GCCs and cloud-native product companies have a strong demand for these skills.

Is this course online or hybrid?

The program is 100% live online, but you’ll also have lifetime access to class recordings. Every week includes live mentor sessions, project reviews, and doubt-clearing support.

Do you provide placement assistance?

Yes—our placement team helps with resume and portfolio reviews, mock interviews, and recruiter introductions. We focus specifically on Hyderabad’s MLOps job market as well as pan-India roles.

Is there an EMI option for the course fee?

Yes, you can spread out the fee with an easy monthly EMI plan. Details are available in the Fees section.

Will I receive a certificate after completing the MLOps course?

Absolutely. You’ll get an industry-recognized MLOps certification that validates your skills in ML deployment, pipelines, and cloud operations.

MLOPS COURSE IN HYDERABAD

Advance your ML career with Hyderabad’s leading MLOps Course. Master CI/CD pipelines, containerized model serving, and cloud MLOps on Azure, AWS & GCP. Certification and placement support with top AI and product teams in HITEC City and Gachibowli.

Book a Demo

School of Core AI - Data Science Course Visual

Key Learning Highlights in Hyderabad’s MLOps Course

200+

Hyderabad professionals
upskilled in MLOps

Evening & Weekend

Flexible live sessions
tailored for working talent

8+ Projects

End-to-end builds on CI/CD, pipelines, serving & monitoring
with real-world datasets

Placement Assistance

Mock interviews, resume support, and
recruiter referrals in Hyderabad’s AI ecosystem

Learning Format

Live Online Bootcamp

Course Duration

4.5 Months (Approx. 18 Weeks)

Next Cohort starts

13 Oct, 2025

Highlights of Our MLOps Course in Hyderabad

Hands-on MLOps Projects

Track experiments with MLflow, orchestrate pipelines via Airflow/Kubeflow, and deploy using Docker & Kubernetes.

Cloud-Native Deployments

Practice on Azure ML, AWS SageMaker, and GCP Vertex AI with Infrastructure-as-Code (Terraform) for real-world automation.

Hyderabad Hiring Network

Curriculum aligned to roles at Microsoft, Amazon, Google, Deloitte, Wells Fargo, Qualcomm, NVIDIA, Novartis, and GCCs in the Financial District.

24/7 Learning Support

Live doubt clearing, mentor reviews, and strong community support to keep your builds on track.

Check Out the Full MLOps Course Curriculum

This Hyderabad page gives you a local view. Explore the complete MLOps curriculum, tools, projects, and certifications on our main course page.

See Full Curriculum & Certification

Why Learn MLOps in Hyderabad’s Cloud & GCC Capital?

Hyderabad has become India’s cloud and GCC powerhouse, with Microsoft, Google, Amazon, Deloitte, HSBC, and TCS running massive AI/ML operations here. These teams urgently need engineers who can take ML from notebooks to production with security, scalability, and compliance.

Our MLOps course bridges data science and DevOps so you can build automated ML pipelines, deploy containerized models, and monitor them in production. Master the full toolchain—MLflow, Airflow, Kubeflow, Docker, Kubernetes, Azure ML, AWS SageMaker, and GCP Vertex AI—guided by practitioners actively operating these stacks across HITEC City and Gachibowli.

Why SCAI’s MLOps Course in Hyderabad Stands Out

Compare our production-focused MLOps training with typical ML courses in Hyderabad

Features	School of Core AI	Other Institutes
Learning Format	Live online with mentor code reviews & project clinics	Recorded videos with limited interaction
Curriculum Depth	Covers pipelines, serving, cloud, observability & governance	Focus on modeling only—no production coverage
Projects & Case Studies	8+ real projects including CI/CD, K8s, and canary rollouts	Mini-projects not aligned to platform realities
Cloud Coverage	Azure ML, AWS SageMaker, and GCP Vertex AI hands-on	Single-cloud demos only
Placement Support	Hyderabad-focused referrals & mock panels	Generic job portal guidance
Certification	Industry-recognized MLOps certificate	Basic completion certificate

Feature

Learning Format

School of Core AI

Live online with mentor code reviews & project clinics

Other Institutes

Recorded videos with limited interaction

Feature

Curriculum Depth

School of Core AI

Covers pipelines, serving, cloud, observability & governance

Other Institutes

Focus on modeling only—no production coverage

Feature

Projects & Case Studies

School of Core AI

8+ real projects including CI/CD, K8s, and canary rollouts

Other Institutes

Mini-projects not aligned to platform realities

Feature

Cloud Coverage

School of Core AI

Azure ML, AWS SageMaker, and GCP Vertex AI hands-on

Other Institutes

Single-cloud demos only

Feature

Placement Support

School of Core AI

Hyderabad-focused referrals & mock panels

Other Institutes

Generic job portal guidance

Feature

Certification

School of Core AI

Industry-recognized MLOps certificate

Other Institutes

Basic completion certificate

Placement-Focused MLOps Training (Live Online)

Expert-Led Sessions

Learn from mentors who design and operate ML platforms in Hyderabad’s product, cloud, and GCC teams.

Built for Working Pros & Career Switchers

Evening/weekend-friendly schedules for data scientists, ML engineers, DevOps/SREs, and developers moving into MLOps.

Real-World Assignments

Hands-on with versioned datasets, Airflow DAGs, CI/CD pipelines, K8s model serving, and blue/green rollouts.

1:1 Mentor Hours & Doubt Clearing

Get unstuck quickly with mentor sessions, code reviews, and responsive Slack/forum support.

AI-Focused Mock Interviews

10+ mock rounds simulating Hyderabad hiring panels—platform design, failure scenarios, and cost vs SLA trade-offs.

Career & Placement Support

Resume/portfolio reviews, interview prep, and recruiter referrals targeted at HITEC City, Gachibowli, and the Financial District.

MLOps Course in Hyderabad

Deploy AI the GCC Way — MLOps Skills for Hyderabad’s Cloud & Captive Tech Teams

Hyderabad is India’s cloud and GCC powerhouse. This course trains you on MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure ML, AWS SageMaker, and GCP Vertex AI — the exact stack demanded by GCCs and product firms across HITEC City and Gachibowli.

What You’ll Learn in the MLOps Course

Pipelines & Experimentation

Master experiment tracking (MLflow), reproducibility, data/version control, and orchestration with Airflow & Kubeflow.

Serving & Scaling

Package models with Docker, serve via TorchServe/Ray Serve, and scale using Kubernetes/Helm with canary and blue–green strategies.

Cloud MLOps

Deploy on Azure ML, AWS SageMaker, and GCP Vertex AI; apply Terraform, manage secrets, roles, and policies securely.

Observability & Governance

Set up monitoring (Prometheus/Grafana), detect drift, ensure fairness & lineage, and implement cost controls.

MLOps Learning Roadmap: From Zero to Production

Skills You Will Command

Enquire Now : +91 9997800680

Industry-Recognized MLOps Certification (Hyderabad)

On completion, earn a certification recognized by hiring teams across Hyderabad’s GCCs and product companies, validating your ability to ship reliable ML to production.

Top Companies Hiring for MLOps in Hyderabad

MLOps Career Opportunities in Hyderabad’s Tech Market

Hyderabad’s cloud-first and GCC-heavy ecosystem is driving rapid demand for MLOps talent.

MLOps Engineer 26–31%
Machine Learning Engineer 22–26%
Data Scientist 18–22%
AI Platform Engineer 12–16%
Cloud ML Engineer 8–12%

MLOps Engineer

Design CI/CD for ML, containerize models, automate deployments, and monitor SLAs. Share: 26–31%, Median CTC: ₹17–28 LPA.

Machine Learning Engineer

Build/optimize models and integrate them with production services and feature stores. Share: 22–26%, Median CTC: ₹15–25 LPA.

AI Platform Engineer

Scale platform primitives—feature stores, registries, infra APIs—for large GCC/product teams. Share: 12–16%, Median CTC: ₹18–30 LPA.

In-Demand MLOps Skills

Skills recruiters look for when hiring modern MLOps engineers.

Experiment tracking with MLflow and model registries

Pipeline orchestration using Airflow and Kubeflow

Containerization & scalable deployment with Docker and Kubernetes

Cloud MLOps on Azure ML, AWS SageMaker, and GCP Vertex AI

Model serving with TorchServe, Ray Serve, REST & gRPC APIs

Data & model drift detection with contracts and lineage tracking

Observability with Prometheus, Grafana, and alerting pipelines

Security practices — secrets management, IAM, and supply chain

Cost & performance optimization (FinOps for ML workloads)

Explore Related Tracks

Upskill across adjacent domains to grow into platform leadership roles.

✨

Generative AI (RAG & Agents)

📘

Data Engineering

📘

LLMOps

📘

AIOps

Our Vibrant Student Community

Hyderabad learners collaborate on capstones, share interview tips, and review pipelines together—accelerating growth into platform teams.

Benefits of Our MLOps Community

Code Reviews & Pairing

Access to Templates & IaC

Hiring Referrals & Mock Panels

Mentorship from Platform Engineers

Career Growth Playbooks

Alumni work across Hyderabad’s GCCs and product teams in HITEC City, Gachibowli, and the Financial District.

Our Alumni Network

MLOps Course Fees in Hyderabad

Transparent pricing with certification and placement support included.

One-time Plan

₹72,999

One-time payment covering complete training, certification, and placement assistance.

Your Career Path after MLOps

MLOps Engineer

Start here

Explore

Curriculum Fees Placement Projects

AI Platform Engineer

Scale infra & tooling

Explore

Curriculum Fees Placement Projects

LLMOps Specialist

Productionize LLMs

Explore

Curriculum Fees Placement Projects

Engineering Manager (AI)

Lead ML Platform teams

Explore

Curriculum Fees Placement Projects

Swipe to see all steps →

Explore related paths

MLOps Engineer AI Platform Engineer LLMOps Specialist Engineering Manager (AI)

Testimonials of Our Successful Learners

I moved from data analysis to MLOps within 5 months. The Azure ML + Airflow modules matched my team’s stack in HITEC City.

Sanjana K.

MLOps Engineer

Exactly the push I needed to go from ML notebooks to production. Kubeflow, Docker, and Helm deployments were the highlight.

Harish V.

ML Engineer → Platform

Loved the mock interviews—lots of failure-mode and rollout questions, just like Hyderabad product teams.

Saif P.

AI Platform Engineer

The capstone covered MLflow, Airflow, and K8s serving end-to-end. That portfolio piece helped me crack a GCC interview.

Anusha D.

MLOps Associate

I’m from a DevOps background. This course helped me translate my skills to ML platforms with confidence and structure.

Ravi Teja

DevOps → MLOps

Great mentor support and code reviews. My serving pipeline now has observability and cost controls thanks to this program.

Mahima S.

Cloud ML Engineer

Frequently Asked Questions

The MLOps course runs for about 4.5 months. You’ll attend live online classes, work on real projects, and get access to mentor-led mock interviews—all scheduled to fit a working professional’s routine.

MLOPS COURSE IN HYDERABAD

Key Learning Highlights in Hyderabad’s MLOps Course

Highlights of Our MLOps Course in Hyderabad

Why Learn MLOps in Hyderabad’s Cloud & GCC Capital?

Why SCAI’s MLOps Course in Hyderabad Stands Out

Placement-Focused MLOps Training (Live Online)

MLOps Course in Hyderabad

What You’ll Learn in the MLOps Course

MLOps Learning Roadmap: From Zero to Production

Skills You Will Command

Industry-Recognized MLOps Certification (Hyderabad)

Top Companies Hiring for MLOps in Hyderabad

MLOps Career Opportunities in Hyderabad’s Tech Market

In-Demand MLOps Skills

Explore Related Tracks

Our Vibrant Student Community

Benefits of Our MLOps Community

Our Alumni Network

MLOps Course Fees in Hyderabad

Testimonials of Our Successful Learners

Frequently Asked Questions

What is the duration of the MLOps course in Hyderabad?

Do I need prior ML or DevOps experience?

Which tools will I learn during the course?

What job roles can I target after completing the MLOps course?

Is this course online or hybrid?

Do you provide placement assistance?

Is there an EMI option for the course fee?

Will I receive a certificate after completing the MLOps course?