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 with 2 installments
Live 4–5 months · 150+ hours · 1-on-1 support · job assistance
₹30,000 with 2 installments
Lifetime access · no live class · no support
Mon-Fri, 8:00-9:45 PM IST (live cohort). International: $450 / €420
Classes running now. Next batch: discuss timing on WhatsApp.
MLOps + LLMOps + AIOps + Agentic AI Course
Daily · 9:30 PM IST · Starting Jul 11, 2026
Meeting ID: 879 9998 2120 · Passcode: 1111
YouTube · Rajinikanth Vadla
Watch the masterclass on YouTube
Real live-class recordings from the MLOps, LLMOps, AIOps and AI Agents course — embedded directly from Rajinikanth Vadla's channel.
MLOps, LLMOps, AIOps & AI Agents Course | Build Real Enterprise AI Systems
Overview of Rajinikanth Vadla's job-ready MLOps, LLMOps, AIOps and AI Agents masterclass — how the live course builds real enterprise AI systems.
DAY-02 | MLOps, LLMOps, AIOps, AI Agents Course | Job Ready
Day 02 live class from the MLOps and AI Agents job-ready course covering the full stack from MLOps through agentic operations.
DAY 03 | Network Fundamentals for MLOps, LLMOps, AIOps & AI Agents
Network fundamentals every MLOps and AI engineer needs before Kubernetes, Docker, LLM infra and production AI systems.
AI Agents Full Course 2026 | MLOps, LLMOps, AIOps & AgentOps Masterclass
Full AI Agents class from the masterclass: AgentOps, multi-agent systems and production agent patterns.
Prefer the full live cohort? View all courses
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.
Choose your learning path
Live cohort with mentorship OR recordings-only self-study. Both with 2-installment payment plans.
Live Cohort Course
Full support, mentorship, and job assistance
₹40,000
2 installments of ₹20,000 each
$450 USD or €420 EUR (international)
- ✓4–5 months live online cohort
- ✓150+ hours hands-on training
- ✓6 comprehensive modules
- ✓4 capstone portfolio projects
- ✓1-on-1 mentorship from Rajinikanth
- ✓Mock interviews & interview prep
- ✓Lifetime access to recordings
- ✓Real enterprise projects
Recordings Only
Learn at your own pace, no live classes
₹30,000
2 installments of ₹15,000 each
$375 USD or €350 EUR (international)
- –4–5 months of recorded sessions
- –150+ hours of content
- –6 comprehensive modules
- –4 capstone projects + solutions
- –Lifetime access (no expiry)
- –No live classes or mentorship
- –No job assistance
- –Community (optional, unprioritized)
Payment Plans & Questions?
Both options support 2-installment payment plans. For batch timing, demo access, or enrollment details:
Message on WhatsAppRoles 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
Notes from people who sat in the same calls
Written feedback from alumni plus screenshots they chose to share.
“The live labs made the difference — I moved from deploying scripts to owning an ML pipeline on Kubernetes. Interviewers asked about exactly what we built in capstone.”
“Rajinikanth breaks down LangChain and agent patterns the way enterprise teams actually use them. I shipped an internal RAG tool within two months of finishing the cohort.”
“Worth every rupee for the 1-on-1 mentorship alone. Resume rewrite + mock interviews helped me land a 200% hike moving into an ML platform role.”
“The automation course covered Cursor, Bedrock agents, and MCP integrations — skills that showed up word-for-word in my new job description.”
“Clear syllabus, real Zoom sessions, and recordings I still revisit. The AIOps monitoring capstone became my portfolio centerpiece.”
“As a DevOps engineer transitioning to AI, the structured path from Docker through Kubeflow to LLM serving saved me months of random tutorials.”
More screenshots from students
* Self-reported outcomes from alumni; not a guarantee of future results.