AWS Training - Developing Generative AI Applications on AWS

Accelerate your digital transformation with official AWS training by Recube

Level: Advanced Duration: 2 Days Delivery Method: Virtual Classroom

This course provides software developers with a comprehensive overview of Generative AI on AWS. It is designed to cover the planning of a Generative AI project, the inner workings of Amazon Bedrock, the fundamentals of Prompt Engineering, and the architectural patterns for building Generative AI applications using Amazon Bedrock and LangChain.

In this course, you will learn how to:

• Describe Generative AI, its alignment with Machine Learning, and its potential risks and benefits.
• Identify the business value derived from Generative AI use cases.
• Explain the steps for planning a Generative AI project.
• Understand the functionality and operations of Amazon Bedrock.
• Describe the typical architecture associated with an Amazon Bedrock solution.
• Implement an Amazon Bedrock demonstration within the AWS Management Console.
• Define Prompt Engineering and apply general best practices when interacting with Foundation Models (FMs).
• Identify basic prompt techniques, including zero-shot and few-shot learning.
• Identify the components of a Generative AI application and how to customize a Foundation Model (FM).
• Describe how to integrate LangChain with Large Language Models (LLMs), prompt templates, chains, chat models, text embedding models, document loaders, retrievers, and agents for Amazon Bedrock.
• Apply concepts to build and test sample use cases leveraging various Amazon Bedrock models, LangChain, and the Retrieval Augmented Generation (RAG) approach.

Who should attend:

• Software Developers interested in leveraging Large Language Models without the need for fine-tuning.

Prerequisites:

• AWS Technical Essentials (Classroom or Digital).
• Intermediate-level Python proficiency.

Target Certifications: AWS Certified Machine Learning - Specialty