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Learn to build an end-to-end agentic AI project with LLMOPS implementation in this comprehensive tutorial that demonstrates industry-grade development practices. Explore the complete development lifecycle of an AI trip planner application, covering agent-based AI architecture, large language model operations, and production deployment strategies. Master the integration of multiple AI agents working collaboratively to solve complex problems while implementing proper LLMOPS workflows for model versioning, monitoring, and deployment. Discover how to structure modular code for scalable AI applications, implement proper error handling and logging, and prepare your project for production environments. Gain hands-on experience with modern AI development tools and frameworks used in industry settings, including best practices for managing AI model lifecycles and ensuring reliable performance in production systems.
