Full-stack AI Development with AWS Amplify AI Kit

Overview

Discover how to build generative AI applications by combining AWS Amplify, Amazon Q, and Bedrock for intelligent search, summarization, and chatbot features in full-stack development.

Syllabus

• Introduction to Full-Stack AI Development
Overview of Full-Stack AI Applications
Key Technologies: AWS Amplify, Amazon Q, and Bedrock
• Setting Up Your Development Environment
Introduction to AWS Amplify
Installing and Configuring AWS CLI
Setting Up Amplify Project and Environment
• Understanding Generative AI Concepts
Basics of Generative AI
Use Cases in Search, Summarization, and Chatbots
• Using AWS Amplify for Frontend Development
Building User Interfaces with Amplify
Integrating Amplify Libraries for AI Features
• Backend Development with AWS
Introduction to AWS Amplify Backend
Configuring GraphQL APIs and Databases
Using Authentication and Authorization
• Deep Dive into Amazon Q and Bedrock
Setting Up Amazon Q for Intelligent Search
Integrating Amazon Bedrock for Text Summarization
Building AI-Powered Chatbots with Bedrock
• Developing AI Features
Implementing Intelligent Search with Amazon Q
Creating Text Summarization Services
Building a Responsive Chatbot Interface
• Testing and Deploying AI Applications
Strategies for Testing AI Models and Applications
Using AWS Tools for Deployment and Monitoring
• Real-World Application Development Project
Designing an Application with Generative AI Features
Development Workflow and Best Practices
Final Project Deployment and Presentation
• Future Trends and Advanced Topics in AI
Exploring Beyond Basics: Machine Learning Integration
Scalability and Performance Optimization
Ethical Considerations and Data Privacy in AI
• Conclusion and Course Wrap-Up
Recap of Key Learnings
Additional Resources for Continued Learning

Subjects

Programming