AI Architect is a transformative role that combines technical depth with strategic vision to design, build, and scale intelligent systems. Organisations across industries are seeking professionals who can architect AI-driven solutions, ensuring innovation, scalability, and business impact. This AI Architect Course will teach you to work across the full AI solution lifecycle from data engineering and model development to deployment, optimisation, and governance.
You will begin with the foundations of AI and machine learning, exploring core concepts such as supervised and unsupervised learning, neural networks, and model evaluation. You’ll then advance into specialised areas like Natural Language Processing (NLP), Computer Vision, Generative AI, and Reinforcement Learning, gaining hands-on skills in designing end-to-end pipelines.
After mastering the AI building blocks, you will move into AI architecture and system design. Here, you’ll learn to design scalable architectures using microservices, APIs, and cloud platforms (AWS, Azure, GCP). You will also explore MLOps (Machine Learning Operations) to automate training, testing, deployment, monitoring, and versioning of AI models.
The final part of the course focuses on AI governance, ethics, and business integration. You’ll learn responsible AI practices, compliance frameworks, data privacy, bias mitigation, and how to align AI initiatives with organisational strategy. This prepares you to lead AI adoption and become a trusted AI Architect, driving digital transformation across enterprises.
Key Technologies and Concepts You’ll Learn
- Machine Learning: Core ML algorithms, supervised and unsupervised learning, neural networks
- Deep Learning: CNNs, RNNs, Transformers, attention mechanisms
- Natural Language Processing (NLP): Text classification, sentiment analysis, large language models
- Computer Vision: Image recognition, object detection, generative vision models
- Generative AI: Building with diffusion models, LLMs, and prompt engineering
- MLOps: CI/CD for machine learning, model versioning, monitoring, and scaling
- Cloud AI Platforms: AWS SageMaker, Azure AI, Google Vertex AI
- AI System Design: Architecting microservices, APIs, event-driven pipelines for AI
- Ethics & Governance: Responsible AI, explainability (XAI), fairness, compliance, security
Career Accelerator Program
Premium Career-Ready Track
Note: Please note that all prices listed are exclusive of VAT. VAT will be charged separately and added to the total amount payable.
