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AIOps ,MLOps & LLMOps

Master modern IT operations with DevOps, AIOps, and MLOps. Learn to automate workflows, build intelligent monitoring systems, and deploy scalable ML solutions with real-world use cases.

Course Instructor: Rajinikanth

₹35000.00 ₹40000.00 13% OFF

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Course Overview

This program is designed to help learners master the complete lifecycle of modern application development and intelligent operations by combining DevOps, AIOps, and MLOps. It provides a strong foundation in automation, continuous integration and deployment (CI/CD), and extends into AI-driven monitoring and machine learning model management.

You will learn how to build, deploy, monitor, and optimize applications and systems using industry-standard tools and real-world practices. The course covers everything from infrastructure automation and cloud platforms to AI-powered incident detection and ML model deployment, making you industry-ready for next-generation roles.

With a focus on hands-on projects and real-time use cases, learners will gain practical experience in managing scalable systems, reducing downtime through intelligent automation, and integrating machine learning into production environments.

🎯 What You Will Gain

  • End-to-end understanding of DevOps workflows

  • Ability to implement CI/CD pipelines

  • Skills in AI-driven monitoring and automation (AIOps)

  • Knowledge of deploying and managing ML models (MLOps)

  • Real-world project experience

💼 Career Outcomes

  • DevOps Engineer

  • AI Ops Engineer

  • MLOps Engineer

  • Cloud & Automation Engineer

Schedule of Classes

Start Date & End Date

Mar 19 2026 - Jul 31 2026

Course Curriculum

1 Subject

Advanced DevOps with AIOps & MLOps

1 Learning Materials

Class Notes

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DOC

Course Instructor

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Rajinikanth

4 Courses   •   607 Students

Rajinikanth is a highly experienced AI Ops and Cloud Operations trainer, with over 7+ years of teaching experience in leading training institutes in Hyderabad. He has successfully trained a large number of students and professionals, helping them build strong careers in data, cloud, and AI-driven operations.

With deep expertise in AI Ops, automation, and modern monitoring systems, he focuses on bridging the gap between theoretical knowledge and real-world industry applications. His training methodology emphasizes hands-on learning, real-time use cases, and practical implementation, ensuring learners gain job-ready skills.

Rajinikanth has worked extensively on production-level systems and intelligent automation solutions, enabling organizations to improve system performance, reduce downtime, and enhance operational efficiency using AI.