Professional Training · Generative AI & Agentic AI Track
Developing Generative AI Applications on AWS
A two-day course for developers building generative AI solutions without fine-tuning their own models. Through labs and realistic scenarios it covers invoking foundation models programmatically through the Amazon Bedrock APIs, generative AI architecture patterns, retrieval-augmented generation with Amazon Bedrock Knowledge Bases, agentic applications built with Bedrock tools and open-source frameworks, prompt engineering, evaluation and responsible AI practice.
Authorised Instructors
Hui Liang
Chief Digital Officer
- Generative AI Developer – Professional
- Machine Learning Engineer – Associate
- Security – Specialty
- Solutions Architect – Professional
- +5 more
Gabriel Wong
Technical Programme Manager
- Generative AI Developer – Professional
- DevOps Engineer – Professional
- Developer – Associate
- Solutions Architect – Associate
- +2 more
Eric Tai
Head, Technology
- Machine Learning Engineer – Associate
- Security – Specialty
- DevOps Engineer – Professional
- Solutions Architect – Professional
- +4 more
Any of these AWS Authorised Instructors may deliver this class, depending on the scheduled run. Trainers confirmed on enrolment.
Who Should Attend
- Software Developers: Developers using large language models without fine-tuning them.
- Cloud Engineers: Engineers deploying generative AI workloads on AWS.
- AI Practitioners: Practitioners with development experience building production solutions.
- Solutions Architects: Architects designing generative AI application patterns.
Prerequisites
This is an advanced course. To get the most from it, you should have:
Completion of the Generative AI Essentials instructor-led course, or equivalent knowledge.
Intermediate-level proficiency in Python.
Familiarity with the AWS Cloud and its core services.
Learning Objectives
In this course, you will learn to:
Develop on Amazon Bedrock: Build generative AI applications using the Bedrock service.
Design architecture patterns: Choose suitable patterns for generative AI applications.
Invoke models programmatically: Configure the Amazon Bedrock APIs to call foundation models.
Build with RAG: Create retrieval-augmented solutions using Amazon Bedrock Knowledge Bases.
Add agentic behaviour: Integrate Bedrock tools and open-source frameworks into applications.
Optimise and safeguard: Apply prompt engineering, evaluate components and implement responsible AI practices.
Certification
A MY Code Campus certificate of completion is awarded for Developing Generative AI Applications on AWS.
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.
