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MLOps & AIOps Training in Bangalore with Placement Support
Take your ML skills into production. Learn CI/CD for ML, model deployment and monitoring, LLMOps and AIOps through four hands-on capstone projects in Electronic City, Bangalore.
12 WeeksIntermediateOnline & ClassroomEnglish
- Understand MLOps lifecycle
- Deploy ML models with Docker & K8s
- Monitor models in production
Questions first?
Our hiring partners
Google
Microsoft
Amazon
CHIMERA
Deloitte
hp
IBM
Infosys
Innoviti
NEXTGEN AI
ORACLE
TATA
Tata_Consultancy_Services_
Tech Mahindra
ubq_technologies_
WELLS FARGO
Wipro
zohoBUILD YOUR FOUNDATIONS
About MLOps & AIOps
MLOps & AIOps training in Electronic City, Bangalore at eMexo Technologies teaches you how to take machine learning models from a notebook to a reliable production system, and how to run IT operations with AI.
MLOps (Machine Learning Operations) covers automated ML pipelines, model versioning, CI/CD, deployment, drift detection and retraining. AIOps (AI for IT Operations) uses machine learning on logs and metrics to detect anomalies, find root causes and resolve incidents faster. The course also includes LLMOps, so you learn to deploy, evaluate and monitor large language model applications.
This MLOps course in Bangalore starts with DevOps and AI fundamentals (Linux, Git, Docker, Kubernetes, machine learning basics) and builds up to MLflow, Kubeflow, Airflow, DVC, FastAPI, Prometheus and Grafana. You practise in hands-on labs and finish with four real-world projects: MLOps, LLMOps, AIOps and AI agents. Freshers, graduates, working professionals and career switchers can all join.
What you’ll learn
- Understand MLOps lifecycle
- Deploy ML models with Docker & K8s
- Monitor models in production
- AIOps tools & platforms
- Implement CI/CD pipelines for ML
- Build automated ML workflows
Before you start
- Basic knowledge of Python
- Understanding of machine learning and deep learning basics
- Basic Linux commands and Git (helpful, not mandatory)
- A laptop with 8 GB RAM and internet connection
Upcoming online & classroom batches
New batch dates are being confirmed. Request a demo to discuss your availability.
Can’t find a batch that works for you?
Who should take MLOps & AIOps?
Career roles to prepare for
What’s included?
Internship Support
Gain practical experience through internship support after you complete the course.
Real-Time AI Projects
Build projects in Machine Learning, Deep Learning, NLP and Computer Vision that you can show in interviews.
Career and Placement Support
Resume building, mock interviews and placement assistance with job referrals to prepare you for AI roles.
Online and Classroom Batches
Join at our Electronic City, Bangalore campus or learn online with flexible batch timings.
Free Demo + Certificate
Attend a free demo class before you enroll, and earn an eMexo course completion certificate.
YOUR LEARNING PATH
Course curriculum
01DevOps Fundamentals0 topics
02Introduction to DevOps5 topics
- DevOps philosophy and cultureLive Class
- DevOps lifecycle and practicesLive Class
- Business value and ROI of DevOpsLive Class
- DevOps vs traditional developmentLive Class
- DevOps roles and team structuresLive Class
03Linux Fundamentals for DevOps5 topics
- Essential Linux commands and shell scriptingLive Class
- File system and process managementLive Class
- User permissions and security basicsLive Class
- Networking fundamentalsLive Class
- Automation with bash scriptsLive Class
Need the complete curriculum?
Tools and technologies
Git and GitHubJenkinsGitHub ActionsDockerKubernetesTerraformAnsiblePrometheusGrafanaELK / EFK StackJaegerMLflowWeights & BiasesKubeflowDVCApache AirflowFeastFastAPIONNXTensorFlowPyTorchHugging FaceLangChainCrewAIVector DatabasesAWS SageMakerGoogle Vertex AI
PUT IT INTO PRACTICE
Projects you’ll work on
End-to-End MLOps Pipeline with CI/CD
Build a complete machine learning system from data to production. Create a data pipeline with Airflow, track experiments with MLflow, version data and models with DVC, and package the model as a FastAPI service using Docker. Automate training, testing and deployment with a CI/CD pipeline on Kubernetes, then add monitoring for data drift and model performance.
Production LLM Application with LLMOps
Deploy a production-ready LLM application with a RAG system built on a vector database. Fine-tune a model using LoRA/QLoRA, set up prompt versioning and management, and add an evaluation pipeline with guardrails. Monitor response quality, latency and cost to keep the application reliable.
AIOps System for IT Infrastructure
Build an AIOps system that collects logs and metrics with Prometheus, Grafana and the ELK stack. Train anomaly detection and failure prediction models, automate root cause analysis, and integrate with an ITSM tool for incident management. Add self-healing actions to resolve common issues automatically.
Enterprise AI Agent Solution
Design and deploy an enterprise AI agent using LangChain or CrewAI. Add tool and API integration, memory with a vector database, and multi-agent collaboration for a business use case. Test the agent's performance and safety, then deploy it with monitoring and governance controls.
Hiring partners for MLOps & AIOps
GoogleMicrosoftAmazonCHIMERADeloittehpIBMInfosysInnovitiNEXTGEN AIORACLETATATata_Consultancy_Services_Tech Mahindraubq_technologies_WELLS FARGOWiprozohoLEARN WITH GUIDANCE
Your instructor
Shomik
Shomik leads the MLOps and AIOps track at eMexo Technologies with 10+ years of experience in machine learning, DevOps and cloud engineering. He has trained 1200+ professionals to build production ML pipelines, deploy models on Kubernetes, operate LLM applications and automate IT operations with AI. Classes are hands-on, built around real labs and four capstone projects.
A SIMPLE START
How to join
- 01
Tell us about your goals
Send an enquiry or application so we can understand your interests.
- 02
Discuss the course and schedule
Review the curriculum, prerequisites, learning format, and fees with our team.
- 03
Confirm your batch
Choose a suitable batch and complete enrolment with our admissions team.
PLAN YOUR NEXT STEP
Course fees
Contact us for fees
Get the current fees, available batches, and enrolment details from our team.
LEARNER EXPERIENCES
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YOUR QUESTIONS, ANSWERED
Frequently asked questions
What is the difference between MLOps and AIOps?
MLOps manages the full lifecycle of machine learning models: building pipelines, deploying, monitoring and retraining them. AIOps uses AI to automate IT operations, such as detecting anomalies, finding root causes and resolving incidents. This course covers both, along with LLMOps.
Do I need machine learning knowledge before joining this course?
Yes. You should know Python and the basics of machine learning and deep learning. Basic Linux and Git are helpful, and the DevOps module covers them. If you are new to AI, complete our AI Training course in Electronic City, Bangalore first.
Which tools and technologies will I learn in this MLOps and AIOps course?
You will work with Git, Jenkins, GitHub Actions, Docker, Kubernetes, Terraform, MLflow, Kubeflow, DVC, Airflow, FastAPI, Prometheus, Grafana and the ELK stack. For LLMOps, you will use LoRA/QLoRA, vector databases and LangChain. Every module includes hands-on labs.
What projects will I build during the course?
You will complete four capstone projects: an end-to-end MLOps pipeline with CI/CD, a production LLM application, an AIOps system with anomaly detection and ITSM integration, and an enterprise AI agent solution. You can add these to your portfolio and GitHub profile.
What job roles can I apply for after completing this course?
You can apply for roles such as MLOps Engineer, LLMOps Engineer, AIOps Engineer, ML Platform Engineer, DevOps Engineer (AI/ML) and Site Reliability Engineer. We support you with resume building, mock interviews and placement assistance.
FAQs
Why Choose Us ?
Free Demo Class
Test the waters before you take a deep dive into our training with a free demo class.
Free Career counselling
Discuss your goals with our team and get guidance on choosing a course and career path.
Deep dive theory
Build a strong foundation with in-depth explanations of core concepts.
Practice it live
Apply what you learn through live exercises and practical assignments.
Tests and Certification
Put your learning to the test through assessments and work towards course completion certification.
Resume Preparation
Get guidance on presenting your skills, projects, and experience in your resume.
Mock Interviews
Practise interview questions and receive feedback to improve your confidence.
100% Job Assistance
Receive support with job preparation and opportunities. Job assistance does not guarantee employment.