Professional Training · Generative AI & Agentic AI Track
Generative AI Essentials on AWS
Master the strategic foundations of Generative AI and identify high-impact use cases for your organisation in this intensive one-day session. This course bridges the gap between technical theory and production-grade reality, equipping you with the frameworks needed to lead secure, ROI-driven AI initiatives.
Authorised Instructors
Eric Tai
Head, Technology
- Machine Learning Engineer – Associate
- AI Practitioner
- Security – Specialty
- DevOps Engineer – Professional
- +4 more
Hui Liang
Chief Digital Officer
- Generative AI Developer – Professional
- Machine Learning Engineer – Associate
- AI Practitioner
- Security – Specialty
- +5 more
Natasha Rahim
Head, AI
- AI Practitioner
- Solutions Architect – Associate
Marcus Low
Technical Programme Manager
- AI Practitioner
- Solutions Architect – Associate
- Cloud Practitioner
Gabriel Wong
Technical Programme Manager
- Generative AI Developer – Professional
- AI Practitioner
- DevOps Engineer – Professional
- Developer – Associate
- +2 more
Any of these AWS Authorised Instructors may deliver this class, depending on the scheduled run. Trainers confirmed on enrolment.
Who Should Attend
- Business Analysts: Professionals looking to identify data-driven AI opportunities that drive organisational efficiency and support strategic growth.
- IT Support & Infrastructure: Technical staff tasked with evaluating the security, cost-effectiveness and architectural requirements of AI deployments.
- Marketing Specialists: Creative professionals seeking to leverage Generative AI to scale personalised outreach and enhance regional brand engagement.
- Product & Project Managers: Leaders aiming to build a functional technical foundation to manage AI-adjacent initiatives with confidence.
- Line-of-Business & IT Managers: Decision-makers responsible for aligning AI capabilities with commercial goals while balancing cost and data security.
- Sales Professionals: Client-facing experts who need to communicate the strategic value and problem-solving potential of AI-driven solutions.
Prerequisites
This course is designed to be an accessible entry point for professionals across all departments.
No prior experience with artificial intelligence or programming is required.
Suitable for professionals across every department and function.
A general familiarity with your organisation’s business operations is helpful.
Learning Objectives
In this course, you will learn to:
Understand Generative AI Essentials: Define core concepts and methods to build a functional baseline of how Generative AI works.
Evaluate Use Cases: Determine when and where to apply Generative AI and Machine Learning to solve real-world problems effectively.
Navigate AI Ethics & Security: Identify the principles of safe and responsible AI use to protect data and maintain organisational trust.
Identify AI Solutions: Recognise different types of Generative AI tools and their practical applications across various industries.
Plan for Implementation: Outline the basic steps and project planning frameworks to lead successful implementation discussions.
Certification
The course is strategically aligned with the AWS Certified AI Practitioner certification. This industry-recognised credential serves as a formal validation of your ability to identify the business challenges and use cases that AI can solve. As an AWS Advanced Tier Authorised Training Partner, we treat this certification as a critical benchmark for regional leadership.
The examination evaluates your competency across these domains:
AI Lifecycles: Defining AI concepts and identifying business-ready AI solutions.
AWS AI Ecosystem: Understanding services including Amazon Bedrock and Amazon Q Developer.
Responsible AI: Implementing practices to ensure ethical, secure and compliant development.
- Format
- 65 questions; multiple choice or multiple response
- Type
- Foundational level certification
- Delivery Method
- Pearson VUE testing center or online proctored exam
- Time Duration
- 90 minutes
- Investment
- 100 USD
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.