Enterprise Case Studies, Capstone Project, and Best Practices

Topics Covered

• The final module consolidates all AI development concepts through real-world enterprise case studies and a comprehensive capstone project. Participants will design, develop, deploy, secure, monitor, and optimize a complete AI-powered application using AWS AI and Generative AI services while applying cloud-native architecture, responsible AI principles, and operational best practices.

Topics Covered

• Enterprise AI Solution Design
• End-to-End AI Development
• Production Deployment
• Performance Optimization
• Security Review
• Responsible AI Validation
• Enterprise Case Studies
• Operational Best Practices

Hands-on Lab

• Training Features
• Instructor-led live online training
• Comprehensive hands-on labs for every module
• Real-world AI and Generative AI development scenarios
• Amazon Bedrock, Amazon SageMaker AI, Amazon Lex, Amazon Textract, and Amazon Comprehend implementation workshops
• Prompt engineering and Retrieval-Augmented Generation (RAG) exercises
• Intelligent AI agent and chatbot development projects
• Serverless AI integration using AWS Lambda and Amazon API Gateway
• Security, governance, and responsible AI implementation best practices
• MLOps, monitoring, CI/CD automation, and performance optimization techniques
• Enterprise capstone project based on a production-ready AI application
• Downloadable course materials, sample source code, architecture diagrams, prompt libraries, and lab guides
• Post-training support, implementation guidance, and best practices for designing, developing, deploying, and managing secure, scalable, and enterprise-ready AI and Generative AI applications on AWS