This 8-month, industry-focused program is designed for experienced practitioners who want to move beyond foundational theory and master the architecture of high-scale, real-world AI systems. This is not an introductory course; it is a deep dive into the **complete modern LLM stack**—from transformer core mechanics and advanced fine-tuning to multi-agent orchestration and production-grade LLMOps. By the end of this journey, you will not just be building prototypes, you will be shipping enterprise-ready LLM systems that reason, retrieve, and collaborate autonomously. You will master the deployment of complex architectures, including **Graph RAG portals** with Neo4j, vision-language models, and multi-agent DevOps pipelines** integrated with human-in-the-loop safety gates and automated CI/CD rollbacks on AWS.

Live

Sep 6, 2026

3.0 Ultimate Data Science & Gen Ai

Zero prerequisites, one ultimate course: go from absolute beginner to building and deploying production-ready data science and AI solutions. This course is a comprehensive journey through modern Data Science and AI, designed to take learners from Python programming basics all the way to next-generation Agentic AI systems. You will begin by mastering Python, statistics, and core machine learning techniques, then progress into deep learning, generative AI, RAG, and model lifecycle management with MLflow. By the end of this year-long program, you will understand how the world is moving towards autonomous AI systems that reason, retrieve, and collaborate.

3.0 Agentic Ai Specialisation with AgentOps

Live

Jun 21, 2026

3.0 Agentic Ai Specialisation with AgentOps

Agentic AI & GenAI with Cloud 3.0 is the modern, production-focused path to mastering Agentic AI, taking you from core concepts to enterprise-scale multi-agent deployment. Over 5 months, you'll build with every framework shaping the field today: LangChain, LangGraph, OpenAI Agents SDK, Google ADK, AWS Strands, CrewAI, LlamaIndex, Claude Code, AutoGen, n8n, and LangFlow. You'll master the two foundational protocols of 2026, MCP and A2A, along with advanced Agentic RAG, Context Engineering, Agent Security, and the full AgentOps lifecycle using AgentOps SDK, LangSmith, Opik, and Langfuse. The course culminates in four end-to-end portfolio projects across AWS, GCP, Azure, and a fully local stack, each built on a distinct framework, architecture, and deployment strategy. By the end, you won't just understand Agentic AI. You'll have shipped it in production.

Udemy Success

900,000+ Students Learning on Udemy

With over 900,000 students enrolled and a 4.8-star rating, Krish Naik's Udemy courses are among the most trusted resources for learning Data Science, Machine Learning, and AI.