Course Started — Admissions OpenLimited Seats

MLOps & AIOps
Masterclass

DevOps → MLOps → LLMOps → AIOps → AI Agents

The most comprehensive AI/ML Operations training program in India. Build production-ready AI systems with 200+ hours of hands-on training.

12-16 Weeks
Duration
200+
Hours
4 Capstone
Projects
8 PM IST
Time
₹35,000
Fee

Live Online · Daily Notes · Lifetime Access · 1-on-1 Mentorship · Job Assistance

Course Overview

What You'll Master

Complete lifecycle from experimentation to production AI systems

🐳

DevOps for AI/ML

Docker, Kubernetes, CI/CD, Terraform — infrastructure for AI workloads.

🔄

MLOps Pipelines

End-to-end ML pipelines, MLflow, Kubeflow, model versioning, deployment.

🧠

LLMOps & RAG

Deploy LLMs, fine-tuning, RAG systems, vector databases, prompt engineering.

AIOps Automation

Anomaly detection, predictive analytics, self-healing infrastructure.

🤖

AI Agents

LangChain, autonomous agents, tool use, multi-agent systems, MCP.

☁️

Multi-Cloud

AWS SageMaker, Azure ML, GCP Vertex AI — production deployment.

Curriculum

6 Comprehensive Modules

Every module builds on the previous — a complete learning journey

01

DevOps Fundamentals for AI/ML

Linux, Shell Scripting, Git workflows
Docker containerization for ML models
Kubernetes orchestration (EKS, AKS, GKE)
Terraform & Ansible IaC
CI/CD with Jenkins, GitHub Actions
AWS, Azure, GCP cloud computing
Prometheus & Grafana monitoring
02

MLOps — Machine Learning Operations

ML lifecycle & MLOps maturity model
Data engineering & feature stores (Feast)
Experiment tracking with MLflow
Model versioning with DVC
Model deployment with FastAPI
ML CI/CD pipelines
Model monitoring & drift detection
Kubeflow & SageMaker pipelines
03

LLMOps — Large Language Model Operations

LLM lifecycle management
Prompt engineering mastery
Fine-tuning with LoRA/QLoRA
RAG systems & vector databases
LLM deployment & optimization
Cost & performance monitoring
Responsible AI & guardrails
04

AIOps — AI for IT Operations

Anomaly detection systems
Predictive analytics for IT
Root cause analysis with AI
Self-healing infrastructure
Cloud-native AIOps
Chaos engineering
Intelligent alerting
05

AI Agents & Autonomous Systems

LangChain agent framework
Tool use & function calling
Agent memory systems
Multi-agent with CrewAI
Model Context Protocol (MCP)
Enterprise agent deployment
Agent testing & evaluation
06

Capstone Projects

End-to-end MLOps pipeline
Production LLM app with RAG
AIOps monitoring system
Enterprise AI Agent
Hands-on

4 Real-World Capstone Projects

Build complete production systems for your portfolio

End-to-End MLOps Pipeline

Automated ML pipeline with CI/CD, Kubernetes deployment, monitoring, and drift detection.

PythonMLflowDockerKubernetesJenkins

Production LLM Application

Fine-tuned LLM with RAG system, vector database, prompt management, and monitoring.

LangChainChromaDBFastAPIDockerHuggingFace

AIOps Monitoring Platform

Anomaly detection, predictive maintenance, automated remediation workflows.

PrometheusGrafanaPythonKubernetesScikit-learn

Enterprise AI Agent

Multi-agent system with tool integration, human-in-the-loop, and production deployment.

LangChainCrewAIFastAPIPostgreSQLDocker
Investment

Course Fee

One investment that pays for itself many times over

Full Course
₹35,000
  • 200+ hours live training
  • 4 capstone projects
  • 1-on-1 mentorship
  • Job assistance & placement
  • Lifetime access to materials
  • Daily notes & recordings
Enroll Now →

EMI options available · Contact on WhatsApp

Career

Roles You'll Be Ready For

High-demand roles with competitive salaries

MLOps Engineer

₹12-40 LPA

ML Engineer

₹15-45 LPA

AIOps Engineer

₹12-35 LPA

LLM/GenAI Engineer

₹20-50+ LPA

AI Agent Developer

₹18-45 LPA

ML Platform Engineer

₹18-40 LPA

SRE (ML Focus)

₹15-35 LPA

DevOps (AI/ML)

₹12-30 LPA

Global Salaries: USA $120K-$250K+ · Europe €70K-€130K+

Rajinikanth Vadla — MLOps AIOps GenAI Trainer
Your Instructor

Rajinikanth Vadla

AI/ML Operations Engineer, Cloud Architect, and India's #1 rated MLOps & AIOps trainer. 7+ years of enterprise experience building production AI systems. 500+ engineers trained with 95% placement rate and 60% average salary increase. Known for hands-on, real-world training that bridges the gap between theory and production.

7+
Years Experience
500+
Engineers Trained
4.9★
Average Rating
FAQ

Frequently Asked Questions

Who is this masterclass for?

Software engineers, DevOps engineers, data scientists, ML engineers, cloud engineers, and anyone wanting to master AI/ML Operations for production systems.

What are the prerequisites?

Basic programming (Python preferred) and Linux familiarity. We teach everything else from scratch, including Docker, Kubernetes, and ML fundamentals.

Is this live or recorded?

All sessions are live with interactive Q&A. Recordings and daily notes are provided for review. You get lifetime access to all materials.

What makes this different from other courses?

Real production experience (not just theory), hands-on enterprise projects, personal mentorship from Rajinikanth, small batch sizes, and 95% job placement rate.

Do you provide job/placement assistance?

Yes! Resume optimization, LinkedIn review, mock interviews, salary negotiation guidance, and active placement support until you land your target role.

Can I pay in installments?

Yes, EMI and installment options are available. Contact us on WhatsApp for flexible payment plans.

Transform Your Career in AI/ML

Join 500+ engineers who accelerated their careers. Limited seats per batch for personal attention.

Free demo class · Reply in 24 hours · No obligation · EMI available

Real Results

Student Success Stories

See how engineers transformed their careers with hands-on training

500+
Engineers Trained
60%
Avg Salary Hike
95%
Placement Rate
4.9★
Student Rating