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by Udacity
An intermediate Nanodegree on building LLM agents, from reasoning and planning prompts to agentic workflows, agent memory and multi-agent systems.
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The program has four courses totaling about 53 hours: prompting for reasoning and planning, agentic workflows, building agents, and multi-agent systems. Topics include ReAct prompting, prompt chaining and routing, tool use, structured outputs, agent memory, agentic RAG and agent evaluation, with four projects. Prerequisites include basic Python, prompting and OpenAI API experience.
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by Udacity
An intermediate Nanodegree on generative AI engineering: foundation models and fine-tuning, LLMs and RAG, and multimodal applications, with three projects.
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by NVIDIA Deep Learning Institute
Self-paced DLI course on designing LLM-based agents that retrieve information, route queries and run tasks concurrently, using LangGraph and NVIDIA NIM.
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by NVIDIA Deep Learning Institute
Self-paced DLI course on deploying retrieval-augmented generation agents built on LLMs and scaling them for real users.
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