This text presents a two-level learning roadmap for developing AI agents. Level 1 focuses on foundational knowledge, including generative AI, large language models (LLMs), prompt engineering, data handling, API wrappers, and Retrieval-Augmented Generation (RAG). Level 2 builds upon this foundation by exploring AI agent frameworks like LangChain, constructing simple agents, implementing agentic workflows and memory, evaluating agent performance, and mastering multi-agent collaboration and RAG within an agentic context. The roadmap aims to provide a structured path for learners to acquire the necessary skills in building and deploying AI agents. Free learning resources are offered to aid in the learning process.

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