In this practical workshop, you will delve into the world of foundation models (FMs) using Amazon Bedrock. You will explore a diverse range of models, enabling you to identify the most suitable large language model (LLM) for your specific use case. The workshop will cover common generative AI applications such as text and image generation, text summarization, chatbot development, image creation, and code generation. Additionally, you will learn how to leverage Bedrock APIs, SDKs, and open-source tools like LangChain to boost productivity and facilitate the practical implementation of generative AI solutions.

Agenda:
- Prompt Engineering
- Text Generation
- KnowledgeBase and RAG
- Model Customization
- Images and Multimodal
- Bedrock Agents

Who should attend:
- Developers
- Data scientists
- Machine Learning engineers
- DevOps
- Data/Business Analyst

Take Aways: You will learn about
- Crafting effective prompts to guide AI models in generating desired responses.
- The process of creating coherent and contextually relevant text using AI models
- Combining Knowledge Base with AI models to enhance responses.
- Adapting AI models to specific tasks or domains by fine-tuning them with relevant data.
- Integrating text and images for richer, more informative outputs.
- How to leverage multiple AI capabilities via API

Prerequisites:
- Basic understanding of generative AI
- Laptop with a web browser to follow along
- On the day of the workshop, please bring email registration confirmation for entry

Important: Sessions are focused on providing best practices, details of service features and demos for working professionals only. Attendance is subject to AWS Event Terms and Conditions.