MLOPS COURSE IN BANGALORE
Advance your ML career with Bangalore’s most industry-focused MLOps Course. Learn to build reproducible ML pipelines, automate CI/CD workflows, and deploy models at scale using AWS, Azure, and GCP. Designed for freshers and working professionals, the program includes certification and placement support with top AI and data teams in Bengaluru.
Perks of Joining Our MLOps Course in Bangalore
Professionals in Bangalore
upskilled in MLOps
Flexible live online batches
designed for working professionals
Hands-on builds with MLflow, Kubeflow, Airflow, CI/CD & monitoring
Mock interviews, resume building
and recruiter referrals in Bangalore
Highlights of Our MLOps Course in Bangalore
Hands-on MLOps Projects
Implement tracking with MLflow, orchestrate pipelines with Airflow/Kubeflow, and deploy with Docker & Kubernetes.
Cloud-Native Deployments
Practice on AWS SageMaker, Azure ML, and GCP Vertex AI with IaC patterns for real infra.
Bangalore Hiring Network
Alignment with roles at Infosys, Wipro, TCS, Flipkart, Swiggy, Razorpay, Meesho, and AI platform teams.
24/7 Learning Support
Get timely help from mentors and a dedicated support team throughout your builds.
Check Out the Full MLOps Course Curriculum
This Bangalore 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 Bengaluru’s Product & Platform Scene?
Bengaluru teams need engineers who can move models from notebooks to real users. This MLOps course bridges data science and DevOps so you can ship reliable, monitored ML at scale.
From unicorns to global captives, Bengaluru companies expect automated pipelines, robust model serving, observability, and cost control. Learn the exact toolchain—MLflow, Airflow/Kubeflow, Docker, Kubernetes, AWS SageMaker, Azure ML, and GCP Vertex AI—guided by engineers who run these stacks in production.
What Makes Our MLOps Course in Bangalore Different
Compare our production-focused MLOps training with typical ML courses in Bengaluru
| 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 | ✓AWS SageMaker, Azure ML, GCP Vertex AI hands-on | ✗Single-cloud demos only |
| Placement Support | ✓Bengaluru-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
AWS SageMaker, Azure ML, GCP Vertex AI hands-on
Single-cloud demos only
Bengaluru-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 directly from mentors who design and operate ML platforms at Bengaluru’s leading product, fintech, and SaaS firms.
Built for Working Pros & Career Switchers
Evening and weekend-friendly schedules designed for data scientists, ML engineers, DevOps/SREs, and software developers transitioning into MLOps.
Real-World Assignments
Hands-on work with versioned datasets, Airflow DAGs, CI/CD pipelines, containerized model serving, and blue/green rollout strategies.
1:1 Mentor Hours & Doubt Clearing
Get unstuck quickly with scheduled one-on-one mentor sessions, detailed code reviews, and active Slack/forum support.
AI-Focused Mock Interviews
Prepare with 10+ mock rounds that simulate real hiring panels—covering platform design, failure scenarios, and cost vs SLA trade-offs.
Career & Placement Support
Receive personalized resume feedback, portfolio reviews, and recruiter referrals targeted at Bengaluru’s MLOps and AI hiring market.
MLOps Course in Bangalore
Build, Ship, and Scale ML in Production — The Bengaluru Way
Master the full MLOps lifecycle with tools like MLflow, Airflow, Kubeflow, Docker, Kubernetes, AWS SageMaker, Azure ML, and GCP Vertex AI. Designed for Bengaluru’s product, fintech, and AI platform teams that demand production-ready ML pipelines.
What You’ll Learn in the MLOps Course
Pipelines & Experimentation
Master experiment tracking with MLflow, reproducibility, data/version control, and pipeline orchestration using Airflow and Kubeflow.
Serving & Scaling
Package models with Docker, serve with TorchServe or Ray Serve, and scale using Kubernetes/Helm with canary and blue-green rollout strategies.
Cloud MLOps
Deploy end-to-end ML systems on AWS SageMaker, Azure ML, and GCP Vertex AI. Implement infra-as-code, manage secrets, roles, and policies securely.
Observability & Governance
Set up monitoring with Prometheus/Grafana, detect data & concept drift, ensure fairness & lineage tracking, and apply cost-control mechanisms.
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 (Bengaluru)
Complete the program and earn an industry-recognized certificate that validates your ability to ship reliable ML to production—trusted by hiring teams across Bengaluru.
Certificate of Completion
Issued by School of Core AI upon successful completion of the programme
Top Companies Hiring for MLOps in Bangalore
Career Opportunities in MLOps – Bangalore
MLOps roles are among the fastest-growing in Bengaluru as teams productize ML at scale.
- MLOps Engineer 28–32%
- Machine Learning Engineer 22–26%
- Data Scientist 18–22%
- AI Platform Engineer 12–16%
- Cloud ML Engineer 8–12%
Design CI/CD pipelines, containerize models, automate deployments, and monitor SLAs. Share: 28–32%, Median CTC: ₹18–30 LPA.
Train/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 thousands of ML users. Share: 12–16%, Median CTC: ₹20–32 LPA.
In-Demand MLOps Skills in Bangalore
What Bengaluru hiring managers expect from 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
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 program runs for ~4.5 months with live online classes, projects, and mock interviews scheduled for working professionals.