Artificial Intelligence Architecture for the Modern Enterprise (Classroom and Synchronous E-Learning)
About This Course
Design scalable, enterprise-ready Artificial Intelligence (AI) architectures that align technology with business strategy.
The programme provides a comprehensive overview of AI architecture for the modern enterprise, covering both the strategic and technical aspects needed to design and implement scalable AI solutions. Participants will learn how to bridge the gap between business needs and technological capabilities, with a focus on the end-to-end lifecycle of an AI project, from data ingestion to model deployment.
Key topics include enterprise architecture, data management pipelines, machine learning and large language models (LLMs), as well as emerging concepts such as AI factories and agent tools.
Participants will apply AI architecture concepts to practical business scenarios through interactive discussions, case studies, and hands-on exercises.
What You'll Learn
- Propose a comprehensive Artificial Intelligence (AI) strategy by aligning business objectives with the technical and architectural requirements of AI systems.
- Understand the strategic role of an AI Architect within Enterprise Architecture and differentiate it from related roles such as Chief Information Officer (CIO), Chief Technology Officer (CTO) and Solutions Architect.
- Design and manage an end-to-end data and machine learning pipeline, from data ingestion to model deployment, leveraging best practices for scalability and efficiency.
- Apply best practices for building scalable and efficient data architectures, including Data Lakes, Data Warehouses, and Datamarts.
- Evaluate and select the most suitable AI technologies, tools, and architecture frameworks for specific business problems and use cases.
- Demystify AI models by progressing from foundational machine learning (ML) concepts to Large Language Models (LLMs) and their potential business applications.
- Build robust and scalable enterprise AI systems, including an AI Factory framework for developing, deploying, and managing multiple AI models effectively.
- Examine the use of AI agents and agent tools to enable AI systems to perform complex, multi-step tasks and workflows.
Entry Requirements
There are no formal prerequisites for enrolment in this programme. As this programme is conducted in English, participants should be proficient in reading, writing, and communicating in English.