IASA Certified IT Architect-Associate (Artificial Intelligence Architecture)
About This Course
This programme prepares mid-career professionals to transition into Business Architect and Solution Architect roles by developing the ability to align business strategy with technology execution.
Participants will learn how to translate business needs into architectural strategies, design enterprise and solution architectures, and govern implementation across systems and stakeholders. The programme integrates enterprise architecture frameworks, business technology strategy, and solution design practices, anchored on real-world application.
Through applied learning, case studies, and architecture-based problem-solving exercises, participants will develop practical capabilities in architecture thinking, roadmap development, solution design, and governance within enterprise environments.
The module covers the relevant IASA Body of Knowledge and provides learners with a foundation towards the IASA Certified IT Architect – Associate (Artificial Intelligence Architecture) certification. The external certification is administered by IASA and is subject to IASA’s prevailing certification assessment and requirements.
What You'll Learn
Learners will also be able to apply AI architecture practices such as Large Language Model Operations (LLMOps), Retrieval-Augmented Generation (RAG), agent orchestration, and AI system lifecycle management to support scalable and maintainable AI solutions. In addition, they will be able to evaluate AI solutions from the perspectives of performance, risk, governance, responsible AI, and business value.
Overall, the course enables learners to move beyond conceptual understanding of AI and apply the skills required to support AI implementation, adoption, and continuous improvement in real-world organisational settings.
Entry Requirements
Learners should be able to :-
•Read, write and speak English at Workforce Skills Qualification (WSQ) Workplace Literacy (WPL) Level 6
•Manipulate numbers at Workplace Numeracy (WPN) Level 6
•Communicate effectively and able to engage in classroom
•Present effectively
As this is an intermediate-level programme, learners are expected to have a basic understanding of technology, digital systems, data, software, or related business processes. This will help learners engage meaningfully with the AI architecture concepts, team assignments, and applied activities covered during the course.