Rajinikanth Vadla Training

GenAI and AI Agents training for enterprise roles

Generative AI and AI agents are now core skills for ML and platform engineers. This GenAI course covers LangChain, RAG, MCP, multi-agent systems and production deployment.

Watch free course videos ↓

Module 3 covers LLMOps: fine-tuning, RAG, guardrails and LLM monitoring. Module 5 goes deep on AI agents, tool use, CrewAI and Model Context Protocol integrations.

All GenAI content is hands-on. You build portfolio projects you can demo in interviews, not toy chatbots.

Free GenAI and LLMOps class recordings from YouTube are embedded below so you can evaluate the teaching style before enrolling.

  • LangChain and CrewAI
  • RAG and vector databases
  • MCP enterprise integrations
  • Multi-agent workflows
  • Production agent deployment

YouTube · Rajinikanth Vadla

GenAI course videos

LLMOps and Generative AI class recordings from Rajinikanth Vadla's YouTube channel.

How LLM Works Internally: Tokenizer → Transformer → Output | LLMOps Class 02

GenAI and LLMOps class explaining how LLMs work internally — tokenizer, transformer, and output generation.

What Is an LLM? Transformers, Tokens, Attention — Explained for Infra Engineers

GenAI fundamentals for infra and MLOps engineers: transformers, tokens and attention explained clearly.

Serve LLMs at Scale: vLLM + Ray Serve + KubeRay Explained

Serve LLMs in production with vLLM, Ray Serve and KubeRay — LLMOps for GenAI engineers.

More on YouTube →

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