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An intermediate course by Andrew Ng on designing and building agentic workflows with large language models.
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$30/mo
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The course has about 10 hours of content and is aimed at people with intermediate Python and a basic understanding of LLMs and APIs. Videos can be audited for free; assessments and the certificate require a DeepLearning.AI Pro membership.
$30/mo
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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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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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