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.
Key Learning Highlights in Hyderabad’s MLOps Course
Hyderabad professionals
upskilled in MLOps
Flexible live sessions
tailored for working talent
End-to-end builds on CI/CD, pipelines, serving & monitoring
with real-world datasets
Mock interviews, resume support, and
recruiter referrals in Hyderabad’s AI ecosystem
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.
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
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 |
Live online with mentor code reviews & project clinics
Recorded videos with limited interaction
Covers pipelines, serving, cloud, observability & governance
Focus on modeling only—no production coverage
8+ real projects including CI/CD, K8s, and canary rollouts
Mini-projects not aligned to platform realities
Azure ML, AWS SageMaker, and GCP Vertex AI hands-on
Single-cloud demos only
Hyderabad-focused referrals & mock panels
Generic job portal guidance
Industry-recognized MLOps certificate
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
Foundation
- Core concepts
- Tools & setup
- Hands-on intro
Build
- Advanced techniques
- Guided projects
- Industry tools
Specialise
- Elective tracks
- Capstone project
- Peer reviews
Launch
- Portfolio prep
- Mock interviews
- Placement drive
Skills You Will Command
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.
Certificate of Completion
Issued by School of Core AI upon successful completion of the programme
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%
Design CI/CD for ML, containerize models, automate deployments, and monitor SLAs. Share: 26–31%, Median CTC: ₹17–28 LPA.
Build/optimize models and integrate them with production services and feature stores. Share: 22–26%, Median CTC: ₹15–25 LPA.
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.
Explore Related Tracks
Upskill across adjacent domains to grow into platform leadership roles.
Our Vibrant Student Community
Benefits of Our MLOps Community
Our Alumni Network
MLOps Course Fees in Hyderabad
Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.
Final fee, EMI plans and any ongoing offers will be confirmed by your counsellor based on your batch, mode and payment preference.
Your Career Path after MLOps
Testimonials of Our Successful Learners
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.