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Developing Generative AI Applications on AWS
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  • AWS

Developing Generative AI Applications on AWS

  • Length 2 days
  • Price  $1900   $330 inc GST
Course overview
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Why study this course

In this advanced two-day course, software developers learn to build and customise AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.

This course includes presentations, demonstrations, hands-on labs, and group exercises.


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What you’ll learn

This course is designed to teach participants how to:

  • Develop generative AI applications using Amazon Bedrock

  • Design architecture patterns of generative AI applications

  • Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically

  • Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks

  • Build custom solutions with Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases

  • Integrate open source SDKs with Amazon Bedrock to build business solutions

  • Optimise model responses by applying prompt engineering techniques

  • Evaluate generative AI application components

  • Implement responsible AI practices to protect generative AI

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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

Who is the course for?

This course is intended for software developers.

Course subjects

Module 1: Exploring Components of Generative AI Applications on AWS

  • Understanding generative AI concepts

  • Identifying AWS generative AI stack components

  • Designing generative AI application components

Module 2: Programming with Amazon Bedrock

  • Guiding model response generation

  • Using Amazon Bedrock programmatically

  • Lab: Develop with Amazon Bedrock APIs

  • Lab: Develop Streaming Patterns with Amazon Bedrock APIs

Module 3: Applying Prompt Engineering for Developers

  • Introducing prompt engineering

  • Introducing prompt techniques

  • Optimising prompts for better results

Module 4: Using Amazon Bedrock APIs in Common Architectures

  • Implementing architecture patterns with Amazon Bedrock APIs

  • Exploring common use cases

  • Adding conversational memory to extend context

  • Lab: Develop Conversation Patterns with Amazon Bedrock APIs

Module 5: Customising Generative AI Responses with RAG

  • Implementing Retrieval Augmented Generation (RAG)

  • Using Amazon Bedrock Knowledge Bases

  • Lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases

Module 6: Integrating Open Source Frameworks with Amazon Bedrock

  • Invoking a foundation model in Amazon Bedrock using LangChain

  • Using LangChain for context-aware responses

  • Lab: Develop a Generative AI Application Pattern using Open Source Frameworks and Amazon Bedrock Knowledge Bases

Module 7: Evaluating Generative AI Application Components

  • Evaluating application components

  • Evaluating model output

  • Evaluating RAG output

  • Optimising latency and cost

  • Lab: Evaluating Retrieval Augmented Generation (RAG) Applications

Module 8: Implementing Responsible AI

  • Understanding responsible AI

  • Mitigating bias and addressing prompt misuses

  • Using Amazon Bedrock Guardrails

  • Lab: Securing Generative AI Applications Using Bedrock Guardrails

Module 9: Using Tools and Agents in Generative AI Applications

  • Using tools

  • Understanding AI agents

  • Understanding open source agentic frameworks

  • Understanding agent interoperability

Module 10: Developing Amazon Bedrock Agents

  • Implementing Amazon Bedrock Flows

  • Designing Amazon Bedrock Agents

  • Developing Amazon Bedrock Inline Agents

  • Designing multi-agent collaboration

  • Using Amazon Bedrock AgentCore

  • Lab: Developing Amazon Bedrock Agents Integrated with Amazon Bedrock Knowledge Bases and Guardrails

Please note: This is an emerging technology course. Course outline is subject to change as needed.

Prerequisites

We recommend that attendees of this course have:

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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