Building Generative AI Applications Using Amazon Bedrock (Includes Labs)

Overzicht

This course is designed for application developers interested in building generative artificial intelligence (generative AI) applications using either the Amazon Bedrock APIs or AWS-LangChain integration. In this course, you will explore the architecture patterns and implementations to support generative AI use cases such as generating and summarizing text, retrieval augmented generation (RAG), and question answering.

Lesprogramma

• Introduction to Generative AI with Amazon Bedrock
Overview of generative AI concepts
Introduction to Amazon Bedrock
• Understanding Amazon Bedrock APIs
API functionalities and capabilities
Authentication and setup for API access
• AWS-LangChain Integration
Overview of LangChain framework
Setup and configuration of AWS-LangChain integration
• Architecture Patterns for Generative AI Applications
Common architecture patterns
Best practices for scalability and performance
• Implementing Text Generation
Techniques for text generation
Lab: Creating a text generation application using Amazon Bedrock
• Implementing Text Summarization
Approaches to text summarization with AI
Lab: Building a text summarization tool with AWS-LangChain
• Retrieval Augmented Generation (RAG)
Understanding RAG and its applications
Lab: Developing a RAG system using Amazon Bedrock and AWS-LangChain
• Building Question Answering Systems
Strategies for effective question answering
Lab: Creating a question answering application with integrated features
• Deployment and Maintenance
Deploying generative AI applications on AWS
Continuous monitoring and optimization
• Real-World Use Cases and Case Studies
Examining real-world applications of generative AI
Lessons learned from successful implementations
• Course Summary and Future Exploration
Key takeaways and milestones
Next steps and additional resources in generative AI development
• Final Project
Design and implement a comprehensive generative AI application
Presentation and peer review of the final project

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Vakgebieden

Programming