Requirements
- Basic Knowledge of Python (functions, packages, data handling)
- Understanding of Machine Learning fundamentals (training, testing, evaluation)
- Familiarity with Git & Version Control (optional but recommended)
- Basic Linux/Command Line knowledge (navigating, running scripts)
- Cloud Basics (AWS, Azure, or GCP – helpful but not mandatory)
- Interest in Automation & DevOps Concepts (CI/CD, Docker, Kubernetes)
Features
- Comprehensive Curriculum – Covers MLflow, Docker, Kubernetes, Airflow, CI/CD, and Cloud Deployment.
- Hands-On Learning – Work on real-time projects and build end-to-end ML pipelines.
- Industry Expert Trainers – Learn from professionals with years of experience in AI, ML, and DevOps.
- Experiment Tracking & Model Monitoring – Learn best practices for production ML.
- Cloud Integration – Deployment on AWS, Azure, and GCP platforms.
- Flexible Learning Options – Online & Offline batches with recorded sessions.
- Placement Assistance – Resume building, mock interviews, and job referrals.
- Certification – Industry-recognized course completion certificate.
- Community & Support – Access to learning materials, Q&A forums, and mentorship.
Target audiences
- Aspiring Data Scientists & AI Enthusiasts who want to learn how to take ML models into production.
- Machine Learning & Deep Learning Practitioners aiming to automate workflows with CI/CD and pipelines.
- Software Developers & DevOps Engineers looking to expand into MLOps and model deployment.
- Cloud Engineers & System Administrators who want to manage ML workloads using Docker, Kubernetes, and cloud platforms.
- Students & Fresh Graduates (CS, IT, AI/ML, Data Engineering) preparing for careers in Data Science and MLOps.
- Working Professionals & Career Switchers seeking to upskill in one of the fastest-growing fields in AI engineering.
Course Overview
MLOps Certification Training Course in Electronic City Bangalore Overview
The MLOps Certification Training Course at eMexo Technologies in Electronic City, Bangalore is designed for aspiring AI and data professionals who want to master the skills required to deploy, monitor, and manage Machine Learning models in production environments. This program covers all the key domains of MLOps, including automated ML pipelines, CI/CD for ML, model versioning, monitoring, governance, and scaling ML workflows efficiently. With a strong focus on real-world scenarios, you will gain practical knowledge of popular tools and frameworks such as Docker, Kubernetes, MLflow, Azure ML, TensorFlow, PyTorch, and GitHub Actions, preparing you not just for certification but also for enterprise-level AI/ML projects.
As a leading MLOps Training Institute in Electronic City, Bangalore, eMexo Technologies ensures a hands-on learning approach with real-time projects that simulate industry requirements. You’ll learn how to build end-to-end ML pipelines, implement model deployment strategies on cloud platforms (Azure, AWS, GCP), monitor model performance, and enable collaboration between Data Science and DevOps teams. The course also emphasizes best practices in security, governance, reproducibility, and cost optimization, giving you the confidence to handle production-grade AI systems.
With expert trainers, structured exam preparation, and 100% placement assistance, this program equips you for both MLOps certification readiness and career advancement. By the end of the course, you’ll be fully prepared to step into the industry as a job-ready MLOps Engineer or AI/ML Operations Specialist. This makes it one of the best MLOps Courses in Electronic City, Bangalore, and the top choice for professionals looking to build a career at the intersection of Machine Learning, Cloud, and DevOps.
What You’ll Learn in this MLOps Certification Training Course in Electronic City Bangalore?
In this MLOps Certification Training Course in Electronic City Bangalore, you will gain the practical skills to streamline the end-to-end Machine Learning lifecycle, from model development to deployment and monitoring in production.
- At first, you will learn the fundamentals of MLOps and how it bridges the gap between Data Science and DevOps.
- In addition, you will learn to build and automate ML pipelines using tools such as Azure ML, MLflow, and Kubeflow.
- Next, you will explore how to implement CI/CD for ML models, version control for datasets and models, and containerization using Docker and Kubernetes.
- Then, you will learn techniques to monitor, retrain, and manage ML models in production, ensuring reliability and accuracy.
- Finally, you will gain expertise in governance, reproducibility, and cost optimization, while working on real-world AI/ML projects.
MLOps Certification Training Course Electronic City Bangalore Key Features:
eMexo Technologies offers the Best MLOps Training in Electronic City Bangalore
with the TOP industry expert trainers.
- Free Demo Class Available
- Practical Approach
- Expert & Certified Trainers
- 100% Job Oriented Training
- Real World use cases and Scenarios
- Completed 500+ Batches
- Certification Guidance
Why Should You Take MLOps Certification Training Course in Electronic City Bangalore?
This MLOps Certification Training Course in Electronic City Bangalore is designed to make you industry-ready with hands-on experience in building, deploying, and managing ML models in production environments. It will help you become an in-demand MLOps professional, skilled at streamlining the Machine Learning lifecycle.
We offer MLOps Certification Guidance with real-world project support, ensuring you gain both practical expertise and exam readiness.
- According to Naukri.com, there are 8,000+ MLOps-related job vacancies currently available in India, with rapid growth year over year.
- Top MNCs such as Google, Microsoft, Amazon, TCS, Accenture, Infosys, Wipro, Deloitte, and NVIDIA are actively hiring MLOps Engineers and AI/ML DevOps specialists.
- According to Glassdoor & Indeed, the average salary of an MLOps Engineer in India is ₹12–20 LPA, while in the US it is $125,000+ per year.
- With the increasing adoption of AI/ML across industries, MLOps is now one of the fastest-growing career domains, bridging the gap between Data Science and Operations
MLOps Certification Training Course in Electronic City Bangalore Description:
This MLOps Certification Training Course in Electronic City Bangalore is specifically designed for:
- Freshers aspiring to build a career in Machine Learning & AI
- Data Scientists and Machine Learning Engineers
- DevOps Engineers looking to expand into MLOps
- Cloud Engineers and Software Developers working with ML pipelines
- IT Professionals seeking to move into AI/ML operations
- Graduates and working professionals aiming to upskill in MLOps and automation
After completing the MLOps Certification Training in Electronic City Bangalore, you will be able to apply for job roles such as:
- MLOps Engineer
- Machine Learning Engineer
- AI/ML DevOps Engineer
- Cloud MLOps Specialist
- Data Engineer (MLOps Focus)
- AI Infrastructure Engineer
There are no strict prerequisites for attending this MLOps Training Course.
However, it will be beneficial if you have:
- Basic understanding of Python programming
- Familiarity with Machine Learning concepts
- Knowledge of DevOps / CI-CD practices (optional but useful)
Our program is designed for both beginners and experienced professionals, with practical, hands-on projects to ensure job readiness.
MLOps Certification
MLOps Certification
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Course Content
- Deployment options: batch, real-time, streaming
- Serving ML models with Flask / FastAPI
- Model serving with TensorFlow Serving / TorchServe
- REST API & gRPC endpoints for ML models
- Canary deployments, blue-green deployment strategies
- Hands-on: Deploy ML model as REST API on Azure Web App / AWS Sagemaker / GCP AI Platform
- Versioning & Tracking: Git, DVC, MLflow, Weights & Biases
- CI/CD: Jenkins, GitHub Actions, GitLab CI
- Containers & Orchestration: Docker, Kubernetes, Helm
- Model Serving: Flask, FastAPI, TensorFlow Serving, TorchServe
- Pipelines: Airflow, Kubeflow, TFX, Prefect
- Cloud Platforms: AWS Sagemaker, Azure ML, GCP Vertex AI Monitoring: Prometheus, Grafana, ELK Stack
