Dive into modern AI agent engineering in this updated, hands-on bootcamp. You’ll go from spinning up your first LLM-powered agent to designing robust architectures with tools, MCP, and agentic RAG, all grounded in real-world use cases. Along the way, you’ll work with popular agent frameworks, add observability using traces and spans, and build evaluations that keep your agents reliable as prompts, models, and requirements change. By the end, you’ll have an end-to-end agent you can deploy, monitor in production, and iteratively improve with real-world feedback.