AI / ML Ops(Agentic AI)
Master MLOps practices and Agentic AI development. Learn to build, deploy, and manage AI systems with autonomous agents and production-grade ML pipelines.
Course Overview
This course covers MLOps best practices and cutting-edge Agentic AI development for building autonomous AI systems.
MLOps Pipeline
Learn to build end-to-end ML pipelines with CI/CD, model versioning, monitoring, and automated retraining.
Agentic AI
Build autonomous AI agents using LangChain, LangGraph, and modern agent frameworks for complex task automation.
Industry Certification
Receive certification validating your MLOps and Agentic AI skills for cutting-edge roles.
Career Opportunities
Graduates pursue high-demand careers in MLOps and AI engineering
MLOps Engineer
Build and maintain ML infrastructure, pipelines, and deployment systems.
Average Salary: ₹15-30 LPA
AI Engineer
Develop and deploy AI solutions including autonomous agents and LLM applications.
Average Salary: ₹18-35 LPA
Platform Engineer
Build AI/ML platforms and infrastructure for enterprise AI adoption.
Average Salary: ₹16-32 LPA
Ready to Master AI/ML Ops & Agentic AI?
Enroll now and learn to build production-grade AI systems.