MLOps · AIOps · LLMOps
AI Agentic Operations
Complete Job Ready Masterclass
A complete 4-5 months live program from DevOps through production AI agents. Built to make you job ready with real projects, interview prep and placement support.
₹40,000 India · $450 USD · €420 EUR
Mon-Fri, 8:00-9:45 PM IST, Live online
Live sessions, recordings, mentorship, job support
MLOps + LLMOps + AIOps + Agentic AI Course
Daily · 9:30 PM IST · Starting Jul 11, 2026
Meeting ID: 879 9998 2120 · Passcode: 1111
What you will master
Complete lifecycle from experimentation to production AI systems. MLOps, LLMOps, AIOps and agentic operations in one job ready path.
DevOps for AI/ML
Docker, Kubernetes, CI/CD, Terraform. Infrastructure for AI workloads.
MLOps Pipelines
MLflow, Kubeflow, model versioning, deployment, monitoring, drift detection.
LLMOps and RAG
Deploy LLMs, fine-tuning, RAG systems, vector databases, prompt engineering.
AIOps Automation
Anomaly detection, predictive analytics, self-healing infrastructure.
AI Agentic Ops
LangChain, CrewAI, MCP, multi-agent systems, enterprise agent deployment.
Multi-Cloud
AWS SageMaker, Azure ML, GCP Vertex AI. Production deployment patterns.
Program overview
Complete MLOps, LLMOps, AIOps and AI Agents training from infrastructure and deployment to production AI agents. Hands-on labs at every stage, built for professionals who want job-ready skills.
Live classes
Weekly live sessions with Q&A
Training
150+ hours hands-on
Labs
50+ practical exercises
Projects
4 capstone portfolio builds
Mentorship
1-on-1 career guidance
Career
Resume, LinkedIn and interview prep
Support
Job assistance and placement help
Prerequisites
- ·Basic programming knowledge (freshers welcome)
- ·Software development concepts
- ·Command line familiarity
- ·Motivation to build production systems
Who this is for
- ·Software engineers moving to MLOps
- ·DevOps engineers expanding into ML
- ·Data scientists going to production
- ·ML engineers deepening operations skills
- ·IT professionals exploring AI automation
6 Modules · 4-5 months · 150+ Hours
Tap each module to expand. Every major topic includes hands-on labs.
Linux and Shell Scripting
- ·Linux commands for ML workflows
- ·Bash scripting and automation
- ·Process and network basics
Python for ML/AI-Ops
- ·Core Python, OOP and error handling
- ·Data structures, APIs and concurrency
- ·ML and ops libraries, testing and logging
Git and Version Control
- ·Git workflows and branching for ML
- ·Pull requests, collaboration and hooks
Docker ContainerizationLab
- ·Dockerfile best practices for ML apps
- ·Networking, volumes and Docker Compose
Kubernetes for MLLab
- ·Pods, Deployments, Services
- ·ConfigMaps, Secrets and persistent volumes
Infrastructure as CodeLab
- ·Terraform, Ansible and cloud templates
CI/CD Pipelines
- ·Jenkins and GitHub Actions for ML
- ·Automated test and deploy pipelines
Cloud Computing
- ·AWS, Azure, GCP comparison
- ·SageMaker, Vertex AI, Azure ML
- ·Cost and architecture patterns
Monitoring and ObservabilityLab
- ·Prometheus, Grafana and ELK/EFK
- ·Distributed tracing
Want the detailed PDF syllabus?
Message on WhatsApp and I will share batch dates, timings, and payment options.
Four capstone projects
Portfolio pieces you can walk through line by line in a technical interview.
End-to-End MLOps Pipeline
Automated ML pipeline with CI/CD, Kubernetes deployment, monitoring, and drift detection.
Production LLM Application
Fine-tuned LLM with RAG system, vector database, prompt management, and monitoring.
AIOps Monitoring Platform
Anomaly detection, predictive maintenance, and automated remediation workflows.
Enterprise AI Agent with MCP
Multi-agent system with MCP, GitHub and Slack integrations, human-in-the-loop and enterprise security.
Course fee
One investment that pays for itself many times over
$450 USD · €420 EUR for international students
- ✓4-5 month complete program
- ✓150+ hours live training
- ✓6 comprehensive modules
- ✓4 capstone portfolio projects
- ✓1-on-1 mentorship
- ✓Job assistance, interview prep and placement support
- ✓Lifetime access to recordings and notes
EMI options available. WhatsApp for payment plans
Roles you will be ready for
High-demand roles with competitive salaries in India
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
Reference ranges only. Markets vary by geography and experience level.
Rajinikanth Vadla
MLOps, AIOps, LLMOps, and AI Agents trainer with 7+ years of enterprise experience building production AI systems. 500+ engineers trained with 95% positive outcomes and 60% average salary increase reported by alumni. Known for hands-on, real-world training that bridges the gap between theory and production.
Frequently asked questions
Who is this masterclass for?+
Software engineers, DevOps engineers, data scientists, ML engineers, cloud engineers, and anyone wanting to master MLOps, LLMOps, AIOps, and AI agentic operations for production systems.
What are the prerequisites?+
Basic programming (Python preferred) and Linux familiarity. We teach Docker, Kubernetes, and ML fundamentals from scratch inside the program.
Is this live or recorded?+
All sessions are live with interactive Q&A. Recordings and daily notes are provided. You get lifetime access to all materials.
What makes this different from Udemy or Coursera?+
Real production experience, hands-on enterprise projects, personal mentorship from Rajinikanth Vadla, small batch sizes, and active job support. Not pre-recorded videos alone.
Do you provide job and placement assistance?+
Yes. Resume optimization, LinkedIn review, mock interviews, salary negotiation guidance, and placement support until you land your target role.
How long is the complete job ready program?+
The full program runs 4-5 months with live sessions Monday to Friday, 8:00 to 9:45 PM IST. You get 150+ hours of hands-on labs, 6 modules, 4 capstone projects, and a dedicated job ready track with interview prep.
Can I pay in installments?+
Yes, EMI and installment options are available. Contact on WhatsApp for flexible payment plans.
Does the syllabus cover LLMOps and AI Agents?+
Yes. Modules 3 and 5 are dedicated to LLMOps (RAG, fine-tuning, LLM deployment) and AI Agentic Operations (LangChain, CrewAI, MCP, multi-agent systems).
Can I join from outside India?+
Yes. Training is live online. Students from USA, Europe, Middle East, and other regions regularly enroll. Pricing: ₹40,000 (India), $450 (USD), €420 (EUR).
Ready to master MLOps, LLMOps, AIOps & AI Agents?
Join 500+ engineers who accelerated their careers. Limited seats per batch for personal attention.
Free demo class · Reply within 24 hours · EMI available
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