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5★ 122 reviews

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5★ · 122 Google reviews

MLOps Course in Bangalore

Deploy, monitor, and manage machine learning models in production

About This Course

MLOps bridges the gap between data science and production engineering. This course covers the entire ML lifecycle: experiment tracking with MLflow, containerization with Docker, CI/CD pipelines, model serving with FastAPI and Flask, monitoring model performance, Kubernetes basics, and cloud deployment on AWS/GCP. Designed for ML engineers and data scientists who want to deploy models at scale.

Course Highlights

Experiment tracking and model registry with MLflow
Containerization with Docker and Docker Compose
CI/CD pipelines for ML models using GitHub Actions
Model serving with FastAPI, Flask, and REST APIs
Model monitoring, drift detection, and A/B testing
Cloud deployment basics on AWS/GCP

Syllabus & Modules

What is MLOps, ML lifecycle, DevOps vs MLOps, maturity levels, technical debt in ML, and production ML challenges.
MLflow setup, logging experiments, parameters, metrics, artifacts, model registry, model versioning, and reproducibility.
Docker fundamentals, Dockerfiles, building images, running containers, Docker Compose, multi-container apps, and best practices.
Building REST APIs with FastAPI and Flask, model serialization (pickle, joblib, ONNX), batch vs real-time inference, and load testing.
Continuous integration, continuous delivery, GitHub Actions for ML, automated testing, model validation pipelines, and deployment automation.
Model monitoring, data drift detection, performance dashboards, Kubernetes basics, deploying on AWS/GCP, and scaling strategies.

Why Learn MLOps?

Mastering MLOps is one of the most in-demand skills in today's data-driven job market. Companies across all industries are looking for professionals who can work with data effectively. This course prepares you with practical, job-ready skills backed by real-world projects and industry mentorship. With our 100% placement assistance, you'll be well-positioned to land roles that leverage these skills.

Who Should Join?

Fresh graduates looking to start a data career
Working professionals wanting to upskill
Career changers from non-tech backgrounds
Entrepreneurs and business owners
Anyone passionate about learning data skills

Course Details

Duration 8 Weeks
Level Intermediate to Advanced
Mode Online / Offline
Projects 4+ Projects
Rating 5★ (122 reviews)
Certificate Yes
Placement 100% Assistance

What You Get:

Live instructor-led training
Hands-on projects & assignments
Industry-recognized certificate
Lifetime access to materials
Resume & interview preparation
Dedicated mentor support
Placement assistance
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EMI options available

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FAQs

Questions About MLOps

Basic knowledge of programming and data concepts is recommended. If you have completed our foundational courses or have equivalent experience, you are ready for this course.
The course runs for 8 Weeks with both weekday and weekend batch options. Classes are conducted online / offline, so you can choose what fits your schedule best. Each session is approximately 1.5 to 2 hours.
Yes! Upon successful completion of the course and projects, you will receive an industry-recognized certificate from Leaders Data Science Learning Center. This certificate is valued by employers and can be added to your resume and LinkedIn.
Absolutely! We provide 100% placement assistance including resume building, mock interviews, portfolio review, LinkedIn optimization, and connections with 50+ hiring partners. Our average placement time is 30 days after course completion.
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