Developing Generative AI Applications on AWS

2 Days

Beginner

Kuala Lumpur, Johor Bharu

Program Overview

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.
Discover opportunities in Malaysia’s growing digital economy. With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation. The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.

What are the skills covered

  • 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.
    • Optimize model responses by applying prompt engineering techniques.
    • Evaluate generative AI application components.
    • Implement responsible AI practices to protect generative AI.

Programme Module

1
Module 1: Exploring Components of Generative AI Applications on AWS
2
Module 2: Programming with Amazon Bedrock
3
Module 3: Applying Prompt Engineering for Developers
4
Module 4: Using Amazon Bedrock APIs in Common Architectures
5
Module 5: Customizing Generative AI Responses with RAG
6
Module 6: Integrating Open Source Frameworks with Amazon Bedrock
7
Module 7: Evaluating Generative AI Application Components
8
Module 8: Implementing Responsible AI
9
Module 9: Using Tools and Agents in Generative AI Applications
10
Module 10: Developing Amazon Bedrock Agents

Programme Objectives

  •  Learn to build and customize AI solutions by using Amazon Bedrock programmatically
  • Invoke foundation models through Amazon Bedrock APIs
  • Implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock
    Knowledge Bases
  • Develop AI agents with tool integration

Who Should Attend

this course is suitable for:

  • Software Developers

  • Python Developers

  • AI/ML Developers

  • Backend or Full-Stack Developers

  • AWS Cloud Practitioners

  • Solution Architects

  • Anyone interested in building Generative AI applications using Amazon Bedrock.

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