AI & Machine Learning
Applied AI Architecture
An architecture-level program for senior engineers and technical leads who need to design, deploy, and govern AI systems at enterprise scale. You will learn to build RAG and agentic architectures, serve models at scale, operate on cloud AI platforms, enforce security and governance, and manage cost with FinOps practices.
- Duration
- 10 weeks
- Level
- Advanced
- Modules
- 6
Outcomes
What you'll learn
- Translate business needs into a defensible enterprise AI architecture
- Design high-performance RAG systems and agentic workflows
- Serve models at scale with Triton, vLLM, and Ollama
- Operate on cloud AI platforms and set up fine-tuning infrastructure
- Implement governance, privacy, security, and responsible AI guardrails
- Model, optimise, and audit AI workload costs with FinOps practices
Prerequisites
- Several years of software or data engineering experience
- Exposure to cloud infrastructure and distributed systems
Tools & technologies
- Architecture diagrams
- Pinecone
- PGVector
- Qdrant
- Triton
- vLLM
- Ollama
- MLflow
- DVC
- AWS Bedrock
- Azure AI Studio
- Vertex AI
Learning format
Live online sessions, twice weekly, plus recorded replays. Expect 6–8 hours per week, including live sessions, guided practice and project work reviewed by the instructor.
Curriculum
6 modules, in sequence
Expand a module to see its topics, project and estimated duration.
What you will build
Learn by building.
Each project produces working software you can run, explain and show to an employer.
Enterprise AI architecture document
A complete reference architecture and written rationale for an enterprise AI system covering data, model, and serving layers.
- Architecture diagrams
- Pinecone
- PGVector
You can defend each boundary and technology choice in the design.
Cost and governance model
A projection of cost, scaling limits, failure modes, and governance controls for the proposed architecture.
- FinOps
- Cost modelling
The design survives questions from finance, security, and compliance.
Instructor
Who is teaching this program
We publish instructor profiles rather than anonymous mentor cards. The named instructor for the next cohort of this program is confirmed before enrolment — ask an advisor and we will tell you exactly who will teach you and what their background is.
FAQ
Before you enrol
The answers that matter most for this program. The full list is on the homepage.
Ready to build your next skill?
Speak with an advisor and find the learning path that matches your current skills, goals and experience. If none of our programs fit, we will tell you that too.