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Developing Generative AI Applications on AWS

Developing Generative AI Applications on AWS

Level:
Intermediate-level proficiency in Python.
Duration:
2 Days

Build Generative AI Applications on AWS with Com7 Business

Com7 Business invites software developers, IT professionals, solution architects, and organizations to join the Developing Generative AI Applications on AWS course.

This course is designed to help learners understand the fundamentals of Generative AI and how to build AI-powered applications using AWS services, especially Amazon Bedrock. Participants will learn how to plan a Generative AI project, apply prompt engineering techniques, and design application architecture patterns using Amazon Bedrock, LangChain, and Retrieval Augmented Generation or RAG.

This course is suitable for organizations that want to start using Generative AI in a practical, secure, and scalable way without the need to fine-tune large language models from scratch.

Course Objectives

In this course, participants will learn how to:

  • Understand the fundamentals of Generative AI and how it relates to Machine Learning.
  • Identify business value from Generative AI use cases.
  • Plan a Generative AI project for real business scenarios.
  • Understand how Amazon Bedrock works and how to use it effectively.
  • Apply prompt engineering best practices with foundation models.
  • Build Generative AI applications using Amazon Bedrock, LangChain, and RAG.
  • Understand security, monitoring, and governance considerations for Generative AI applications on AWS.
  • Practice with hands-on labs and demonstrations, including chatbot, question answering, text summarization, and code generation use cases.

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Intended Audience

This course is ideal for:

  • Software developers who want to build applications using large language models.
  • IT teams exploring Generative AI adoption within the organization.
  • Solution architects designing AI-powered solutions on AWS.
  • Technical teams who want to understand Amazon Bedrock and foundation models.
  • Organizations that want to build Generative AI applications without fine-tuning models.

 Prerequisites

To get the most value from this course, participants should have:

  • Basic AWS knowledge or experience with AWS Technical Essentials.
  • Intermediate-level proficiency in Python.
  • Interest in AI, Machine Learning, Cloud, or application development.

About the Course

Course outline

Day 1
Day 2

Module 01: Introduction to Generative AI – Art of the Possible‍

  • Learn the overview of Machine Learning, the basics of Generative AI, common use cases, real-world applications, benefits, and potential risks.

Module 02: Planning a Generative AI Project

  • Understand the key steps in planning a Generative AI project, including project objectives, business context, risk considerations, and mitigation approaches.

Module 03: Getting Started with Amazon Bedrock

  • Learn the fundamentals of Amazon Bedrock, its architecture, use cases, and how to start using Amazon Bedrock through the AWS Management Console.

Module 04: Foundations of Prompt Engineering

  • Understand foundation models and prompt engineering techniques, including zero-shot prompting, few-shot prompting, advanced prompt techniques, model-specific prompt practices, and bias mitigation.

Module 05: Amazon Bedrock Application Components‍

  • Learn the key components of Generative AI applications, including foundation models, embeddings, datasets, RAG, model fine-tuning concepts, and security considerations.

Module 06: Amazon Bedrock Foundation Models

  • Explore Amazon Bedrock foundation models, inference parameters, key APIs, data protection, and auditability. Participants will also practice invoking Amazon Bedrock models for text generation.

Module 07: LangChain

  • Learn how to integrate LangChain with Amazon Bedrock, including prompt templates, chains, retrievers, agents, memory, and external resources.

Module 08: Architecture Patterns

  • Explore common architecture patterns for Generative AI applications, including text summarization, question answering, chatbot development, code generation, and conversational applications using Amazon Bedrock.

THB 21,600

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