Professional Training · Applied AI Engineering Track
AI Integration for Enterprise Systems
Learn to integrate AI capabilities into existing enterprise applications and workflows. The course covers API integration patterns, data connectors, authentication and change-management practices for embedding AI into systems teams already run.
Authorised Instructors
Eric Tai
Head, Technology
- Security – Specialty
- DevOps Engineer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +4 more
Hui Liang
Chief Digital Officer
- Security – Specialty
- Generative AI Developer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +5 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 wiring AI capabilities into existing applications.
- Integration Engineers: Engineers connecting AI services to enterprise systems.
- Solutions Architects: Architects planning AI integration across the estate.
- IT Managers: Managers coordinating AI rollout across business systems.
- Business Systems Analysts: Analysts specifying AI-augmented workflows.
Prerequisites
This is an intermediate course. To get the most from it, you should have:
Working knowledge of REST APIs and a general-purpose programming language.
Familiarity with your organisation’s core business systems.
Basic hands-on experience with a cloud platform.
Learning Objectives
In this course, you will learn to:
Map integration points: Identify where AI adds the most value in existing workflows.
Connect data sources: Build secure connectors between AI services and enterprise data.
Manage authentication: Apply enterprise identity and access controls to AI integrations.
Handle change management: Roll out AI-augmented workflows without disrupting operations.
Measure adoption: Track usage and value once AI is embedded into systems.
Certification
This course does not map to a vendor certification exam. It gives engineering teams a practical playbook for embedding AI into the systems the business already depends on. Every participant receives a My Code Campus certificate of completion.
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.