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Learn to build and deploy AI agents from scratch through a comprehensive tutorial covering the complete development lifecycle from basic implementation to production deployment. Start by understanding what AI agents are and their fundamental concepts, then progress through hands-on development using LangChain and Ollama to create a simple local AI agent. Expand your agent's capabilities by integrating single and multiple tools while implementing streaming functionality and conversation history management. Master observability by implementing tracing for AI agent calls using MLflow to monitor and debug agent behavior. Transform your agent into a production-ready application by building a REST API with FastAPI, containerizing the solution with Docker and Docker Compose, and finally deploying to a production environment using Render. Gain practical experience with modern AI development tools and deployment strategies while building a fully functional AI agent system ready for real-world applications.
