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MLOps Training with Placement in Chennai | Uniq Jobs

MLOps Training with Placement in Chennai | Uniq Jobs

Become a job-ready Production Support Engineer with UNIQ Technologies. Learn real-time support operations, monitoring tools, incident management, SQL, UNIX, ticketing systems, log analysis, and automation skills used in top IT companies. Designed for freshers and IT job seekers aiming for stable, high-demand support roles. — Available in Chennai

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4.8/5 · 3k+ learners
Placement support
Beginner friendly

Job Opportunities after Production Support Course

Production Support roles are among the most in-demand and easiest entry points for IT jobs. After completing our training, you can apply for roles such as:

Application Support Engineer
Production Support Engineer
Technical Support Engineer (L1/L2)
Monitoring Engineer
SQL & UNIX Support Analyst
Site Reliability Support (Entry Level)
IT Operations Specialist

Top Hiring Companies

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Why Choose UNIQ?

Real-Time Support Scenario Training

Real-Time Support Scenario Training

Learn actual production issues, RCA, logs, alerts, downtime management, and on-call responsibilities.

SQL + UNIX Included

SQL + UNIX Included

Master essential SQL queries and UNIX commands used daily by support engineers.

Ticketing Tools Training

Ticketing Tools Training

Hands-on with ServiceNow/JIRA ticketing—incident, request, change, and problem management.

Monitoring Tools

Monitoring Tools

Learn real-time monitoring tools such as Grafana, Kibana, CloudWatch basics, and alert handling.

100% Placement Support

100% Placement Support

Dedicated placement team, mock interviews, technical revision, and daily job openings until you get placed.

Beginner-Friendly

Beginner-Friendly

No coding or technical background needed—ideal for freshers and career switchers.

Industry Expert Trainers

Industry Expert Trainers

Learn from real Production Support engineers working in top MNCs.

Internship Certification

Internship Certification

Receive a recognized Internship Certificate from UNIQ Technologies.

What You’ll Learn

Explore the 100-days roadmap that turns you into a Full Stack Developer. Master the foundations first, then move into backend, APIs, frontend frameworks, databases, and deployment.

  1. 1

    Module 01 · Introduction to MLOps

    5 topics
    • Understanding ML lifecycle challenges
    • What is MLOps and why it matters
    • MLOps vs DevOps vs Data Engineering
    • MLOps architecture and components
    • Key tools used in MLOps
  2. 2

    Module 02 · Version Control and Experiment Tracking

    5 topics
    • Git and GitHub basics for ML projects
    • Data versioning with DVC and LakeFS
    • Experiment tracking with MLflow
    • Managing model metadata
    • Reproducible ML pipelines
  3. 3

    Module 03 · Data Engineering for MLOps

    5 topics
    • Data ingestion and preprocessing pipelines
    • Feature engineering and feature stores
    • Automating data pipelines with Airflow
    • Working with unstructured and streaming data
    • Handling data drift and quality checks
  4. 4

    Module 04 · Model Training and Automation

    5 topics
    • Automated training workflows
    • Hyperparameter tuning: Optuna, Ray Tune
    • Distributed training techniques
    • Using Kubeflow Pipelines for orchestration
    • Resource management & compute optimization
  5. 5

    Module 05 · Model Deployment

    5 topics
    • Deployment strategies: batch, real-time, streaming
    • Deploying with Docker and Kubernetes
    • Model serving with FastAPI and Flask
    • Using TensorFlow Serving and TorchServe
    • CI/CD integration for ML deployment
  6. 6

    Module 06 · Monitoring and Model Management

    5 topics
    • Monitoring model accuracy and performance
    • Model drift detection
    • Logging and observability tools
    • Retraining strategies and automation
    • Model rollback and version management
  7. 7

    Module 07 · Cloud MLOps

    5 topics
    • AWS MLOps services (SageMaker, S3, Lambda)
    • Azure ML and GCP Vertex AI basics
    • Managed pipelines and model registries
    • Cloud-based CI/CD for ML
    • Scaling ML workloads in cloud environments
  8. 8

    Module 08 · End-to-End MLOps Project

    5 topics
    • Defining a complete ML business problem
    • Building data pipelines and feature store
    • Training, tuning, and tracking experiments
    • Deploying to production (API or batch)
    • Monitoring and improving the model continuously

Currently Available Courses in Chennai

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Deploy and manage machine learning models in production efficiently

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Frequently Asked Questions

A Production Support Engineer manages applications in live environments, handles incidents, monitors systems, resolves issues, analyses logs, runs SQL queries, checks UNIX systems, and ensures smooth application performance.
No. Production Support mainly involves troubleshooting, SQL queries, UNIX commands, ticketing tools, and monitoring—not coding.
Yes! It is one of the easiest entry points into the IT industry, with strong job demand across MNCs.
Yes. You will learn incident, request, change, and problem management using ServiceNow/JIRA.
You will learn SQL, UNIX, shell scripting basics, monitoring tools, log analysis, ITIL concepts, and cloud basics for support.
Yes, we provide 100% placement support until you get placed, including mock interviews and resume building.
Yes. You can switch anytime without additional charges.
Yes. You receive a Course Completion & Internship Certificate valid for IT job applications.

Ready to enquire about the Production Support course in Chennai? Contact us today.

Address

#1 Shifa Arcade, 3rd Floor, Bharathi Nagar 1st Street, N.Usman Rd, T. Nagar, Chennai, TamilNadu 600 017.

Phone

+91 96001 14466

Office Hours

Mon – Sat: 9:00 AM – 7:00 PM

Email

info@uniqtechnologies.co.in

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