MLOps, AIOps, GenAI, AI Agents, and AI-Powered Automation — taught from real enterprise delivery, not slide decks.
I help engineers ship models and AI systems that survive production. Seven-plus years on the job; hundreds of people have moved into roles they wanted with clearer confidence. If you are deciding on a move, a pivot, or how to tell your story in interviews, mentorship is open to you from anywhere in the world.
After seven-plus years shipping AI/ML systems in real environments, I focus on what hiring managers and teams actually expect: reproducible pipelines, observability, and honest tradeoffs.
When you succeed, I succeed. That has stayed constant across every cohort.
* Self-reported; not a guarantee of future results.
Narrow topics, deep reps - the kind of depth you get from someone still shipping.
Agents, RAG, and LLM apps with an eye on evaluation and cost.
Details →Pipelines, registries, deployment patterns, and monitoring that teams run daily.
Details →Cursor, Claude, Codex, AWS Bedrock agents — enterprise AI tools that JDs demand.
Details →AWS, Azure, GCP - the boring, important parts that keep models online.
Details →Practical use of modern assistants without losing engineering judgment.
Details →Master the AI tools enterprises actually hire for — Cursor, Claude, Codex, ChatGPT, AWS Bedrock Agents, open-source agents, and rapid prototyping tools. Skills straight from enterprise JDs.
Live online · Limited seats per batch
6 focused modules in 30–35 days. Every topic maps to what enterprise JDs ask for. Extendable to 45 days.
Live cohort, limited seats
A full arc from solid DevOps habits through MLOps, LLMOps, AIOps, and agents - with labs that mirror how teams actually review and ship work.
₹35,000 India · $450 USD · €420 EUR
Localized pricing based on your region
Long-form walkthroughs - the same tone as class, just on the open web.
Prometheus, Grafana, and a pragmatic ML pass on CPU behavior.
Each path is built around deliverables you can explain in an interview.
30–35 day intensive (extendable to 45 days): Master Cursor, Claude, Codex, ChatGPT, AWS Bedrock Agents, open-source agents, and enterprise AI tools that top companies hire for.
Complete 12-16 week program: DevOps → MLOps → LLMOps → AIOps → AI Agents. Build production-ready AI systems!
Production-grade AIOps on Topmate — hands-on labs and a practical path from signals to automation.
Master AWS, Azure, GCP with production-grade DevOps, Terraform, Ansible, and CI/CD.
Build production AI Agents, LangChain, RAG systems, and LLM applications.
Master Cursor, Claude, ChatGPT, Gemini, Grok, Vercel AI SDK, AWS Bedrock - 10x your work with AI.
Teaching is only part of it. The rest is judgment under uncertainty - the same thing you need on the job. I stay in the weeds with you until the concepts feel obvious in hindsight.
* Aggregated from cohort surveys; individual results vary.
Lessons track what is defensible in production today, not last year's hype cycle.
Artifacts you can walk through line by line in a technical screen.
We talk about scope, titles, and negotiation with the same honesty as we talk about YAML.
Resume passes, mock rounds, and blunt feedback where it helps.
Mentorship is online, so students and professionals from many regions book time for career and transformation questions.
Long-form guides designed to rank for practical MLOps, AIOps, and GenAI problem statements.
Kubernetes
Master Kubernetes and cloud-native AI deployment in 2026. Learn to build resilient AI agents, secure production pipelines, and avoid agentic disasters.
Read tutorial →AI Agents
Master vector databases and embeddings in 2026. Explore production-ready AI agents, KubeStellar automation, and Google's 8th gen TPU infrastructure.
Read tutorial →AI Agents
Discover 2026 enterprise AI trends: Agentic workflows, Google's 8th gen TPUs, and how Pentagon vibe-coding is reshaping the MLOps landscape.
Read tutorial →Not every question needs a full course first. If you are in another country or time zone and want a straight conversation about moving toward MLOps, AIOps, cloud, AI automation, or AI engineering, you can book a private session or write on WhatsApp with context. I reply when I can and keep advice practical.
Join a cohort when you want structure, or book mentorship when you need your career story, transition, or interviews sharpened. People from many countries reach out; online sessions make that simple.
I read every message. Typical reply within a day. No pressure to buy.
Common questions from students before they enroll.
Rajinikanth Vadla is an MLOps, AIOps, GenAI, AI Agents, and AI-Powered Automation trainer and practitioner with 7+ years of enterprise experience. He has trained 500+ engineers through live cohort programs and offers 1:1 mentorship worldwide. His official website is rajinikanthvadla.com.
Rajinikanth Vadla's MLOps & AIOps Masterclass is a 12–16 week live program covering DevOps through MLOps, LLMOps, AIOps, and AI Agents. Priced at ₹35,000 with 200+ hours of hands-on training, 4 capstone projects, and a 4.9/5 rating from 500+ students.
A 30–35 day intensive (extendable to 45 days) enterprise-level course covering Cursor, Claude AI, OpenAI Codex, ChatGPT, AWS Bedrock Agents, open-source AI agents (LangChain, CrewAI), and rapid prototyping tools (Lovable, Bolt). It teaches the exact skills that appear in enterprise job descriptions.
Start with MLOps if you want to deploy ML models to production. AIOps builds on those skills to automate IT operations with AI. Rajinikanth Vadla's Masterclass covers both in sequence so you build a solid foundation first.
Enterprise JDs increasingly require Cursor, GitHub Copilot, ChatGPT/Claude API integration, AWS Bedrock Agents, and AI agent frameworks like LangChain and CrewAI. The AI-Powered Automation Efficiency course covers all of these.
MLOps Engineers earn ₹12–50 LPA in India, $120K–$200K+ in USA, and €70K–€120K+ in Europe. Students of Rajinikanth Vadla report a 60% average salary increase after completing the training.
Yes. All training and mentorship is delivered live online. Students from USA, Europe, Middle East, and other regions regularly enroll. Pricing is localized: ₹35,000 (India), $450 (USD), €420 (EUR). Mentorship is available worldwide on Topmate.
Live training with Rajinikanth Vadla offers real-time interaction, hands-on labs reviewed by the instructor, career mentorship, and interview prep — things self-paced courses cannot provide. The 60% average salary increase and 95% positive outcomes reflect this difference.
Screenshots and messages students chose to share - click to enlarge.
* Self-reported; not a promise of future results.
