Natural Language Processing (NLP) on Amazon Bedrock
57mIntermediate2025-03-19
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Pragmatic AI Labs
Course details
In this course on natural language processing, instructor Noah Gift shows you how to address NLP tasks using Amazon Bedrock. Noah starts with an overview of the fundamentals of Bedrock, then dives into advanced implementation tools. Learn about advanced NLP with Bedrock agents, chain of thought prompting with Bedrock agents, NLP agent pipeline architecture, and more.
Skills covered
Amazon BedrockNatural Language Processing (NLP)AmazonGenerative AIArtificial Intelligence (AI)One-Off
Concepts
Fundamentals of Amazon Bedrock
- 01 - Course introduction
- 02 - Bedrock token processing lifecycle
- 03 - NLP architecture with Amazon Bedrock overview
- 04 - Bedrock prompt architecture
- 05 - Bedrock prompt management demo
- 06 - Prompt as code diagram
- 07 - Amazon Bedrock prompt CLI demo
1. Advanced Implementation and Tools
- 08 - Advanced NLP with Bedrock agents
- 09 - Chain of thought prompting with Bedrock agents
- 10 - NLP agent pipeline architecture
- 11 - Transcribe pipeline architecture
- 12 - SVGen - Bedrock-Rust NLP tool
- 13 - Ollama-Bedrock Rust NLP bridge tool
Course Wrap-up
- 14 - Course conclusion