AWS GenAI Learning
The goal of this learning is to give you hands-on experience in leveraging foundation models (FMs) through Amazon Bedrock. Amazon Bedrock is a fully managed service that provides access to FMs from third-party providers and Amazon; available via an API. With Bedrock, you can choose from a variety of models to find the one that’s best suited for your use case.
Within this series of labs, you will go through some of the most common Generative AI usage patterns we are seeing with our customers. You will explore techniques for generating text and images, and learn how to improve productivity by using foundation models to help in composing emails, summarizing text, answering questions, building chatbots, creating images, and generating code. You will gain hands-on experience using Bedrock APIs, SDKs, and open-source software, such as LangChain and FAISS, to implement these usage patterns.
This learning is intended for developers and solution builders. For example:
- Financial, Data and Business Analysts
- Generative AI developers
- C-suite executives: Understand how guardrails enhance data security and compliance.
- Marketing and sales teams: Learn how guardrails maintain brand voice and customer engagement.
- IT and DevOps teams: Explore the technical implementation of guardrails.
- Legal teams: Delve into how guardrails can help in compliance with laws and regulations.
- Data scientists, Machine Learning engineers, Developers, Product managers: Dive into the technical details and implementation of guardrails.
- Security & compliance teams: Understand how guardrails enhance data protection and compliance.
What’s included in this learning:
- Prompt Engineering
- Text Generation
- KnowledgeBase and RAG
- Model Customization
- Images and Multimodal
- Agents
- Open Source
You can choose the modules that apply to your use case. The modules are independent and have no dependency on each other.