With our step-by-step approach, you will learn to:

Implement Generative AI Across Various Data Sets and File Formats: Integrate AWS Generative AI services seamlessly with multiple data sources, supporting a wide range of document types including PDFs, Excel, Word, PowerPoint, Emails, CSV, HTML, Markdown, XML, image files, and over 25 other file formats.

Optimize Prompts for Accuracy: Master prompt engineering to retrieve precise and reliable responses from the AI, while minimizing the risk of hallucinations.

Support Diverse Document Types: Gain practical experience in handling different document types, ensuring comprehensive compatibility and seamless AI interaction with your data.

Manage Costs Efficiently: Learn best practices for controlling costs while utilizing the OpenAI platform, ensuring your AI deployment remains both scalable and economically sustainable.

Launch a Production-Ready Chat Application: Develop and deploy a complete production-grade AI chat solution, ready for real-world applications and immediate user engagement.

Automated Monitoring and Alerting: Set up monitoring tools and automated alerts to ensure that your AI chatbot runs smoothly and effectively addresses any issues that may arise.

Connect to Transactional Databases: Enable AWS Generative AI to interact with transactional databases such as SQL Server, MySQL, PostgreSQL, and Oracle, allowing for real-time queries and richer data interaction.