debnsuma/fcc-ai-engineering-aws
A Practical Course on Embeddings, RAG, Multimodal Models, and Agents with Amazon Nova.
Covers embeddings, multimodal LLMs, and RAG using Amazon Bedrock with LangChain integration, plus vision-language techniques with Colpali for processing text and image data. Implements practical end-to-end systems including Bedrock Agents, Knowledge Bases, and OpenSearch for retrieval, with modules on Amazon Nova for multimodal understanding and evaluation strategies for production deployment. Provides Jupyter notebook-based labs progressing from foundational embeddings through advanced multimodal RAG patterns and enterprise automation workflows.
194 stars. No commits in the last 6 months.
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194
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Jupyter Notebook
License
MIT
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Last pushed
Jun 02, 2025
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