Enterprise AI Tutorial – Embeddings, RAG, and Multimodal Agents Using Amazon Nova and Bedrock
The course, led by Suman Debnath from Amazon, explores AI engineering advancements, focusing on embeddings, multimodal models, and retrieval augmented generation (RAG) with practical applications using Amazon Nova and Bedrock for enterprise solutions.
MAIN POINTS FROM TRANSCRIPT
- Course covers text embeddings, including Amazon Titan, and integration with Langchain and Amazon Bedrock.
- Explores multimodal models like Amazon Nova for text and image understanding.
- Teaches retrieval augmented generation (RAG) and advanced multimodal RAG techniques.
- Provides practical experience in automating insurance claim processes using Amazon Bedrock agents.
TAKEAWAYS
- Gain skills in building intelligent, context-aware systems with AI engineering advancements.
- Learn to use Amazon Bedrock for scalable generative AI applications.
- Understand and apply multimodal models and architectures like CLIP and BLIP.
- Develop an end-to-end application leveraging Amazon Bedrock for enterprise automation.