02 / For
AI training for architects.
Architects set the shape of AI systems and the platform around them. These courses cover the reference architectures, security boundaries, and operational work that turn a promising prototype into something a team can run.
11 courses · private corporate training · on-site or remote
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Courses
1 day · Foundation · Foundations
Generative AI Fundamentals
A technically accurate, practical introduction to modern generative AI for mixed technical and non-technical audiences. Enough depth to make sound decisions, with no requirement to write code.
Mixed technical and non-technical professionals
1 day · Intermediate · Foundations
How Large Language Models Work
A one-day explanation of LLM internals for developers, architects and technically curious professionals. Enough mechanism to improve engineering decisions, without a research-paper prerequisite.
Developers, architects and technical professionals
1 day · Leadership · Leadership
AI for Technical Leaders
A decision-making course for CTOs, engineering managers, architects and senior technical product leaders. How to choose architectures, vendors and investments that will still make sense in production.
CTOs, engineering managers, architects and technical leaders
2 days · Advanced · Architecture
Production AI Architecture
A two-day architecture course for senior engineers and technical leaders: reference architectures, model gateways, RAG, agents, security, evaluation and the operational concerns that decide whether a system can leave the lab.
Architects, senior engineers and platform engineers
2 days · Advanced · Architecture
Architecting Enterprise Generative AI
A two-day course for architects and senior technical leaders: design enterprise-scale AI capability as a platform, not as a sequence of isolated projects.
Architects and senior technical leaders
2 days · Intermediate · Architecture
Building Enterprise AI Assistants
A two-day course for developers and platform teams: build a secure internal assistant that can use organisational knowledge and systems, with identity, permissions, citations and evaluation.
Developers and enterprise platform teams
2 days · Advanced · Cloud & Platform
AI Platform Engineering
A two-day course for platform engineers, architects and senior developers: build the internal infrastructure that lets multiple product teams use AI safely and consistently.
Platform engineers, architects and senior developers
2 days · Intermediate · RAG & Agents
RAG: From Fundamentals to Production
A two-day course on retrieval-augmented generation as an engineering discipline: why naive RAG fails, and how to design a system that can be evaluated, secured and operated.
Developers, ML engineers and architects
2 days · Intermediate · Cloud & Platform
AI Systems on AWS
A two-day course for cloud engineers, developers and architects: design and build AI systems on AWS, with architecture first and managed services in their proper place.
Cloud engineers, developers and architects
2 days · Intermediate · Cloud & Platform
AI Systems on Azure
A two-day course for cloud engineers, developers and architects: design enterprise AI systems on Azure, including identity, search, model APIs and the architecture those services should sit inside.
Cloud engineers, developers and architects
1 day · Leadership · Workshops
AI Architecture Workshop
A facilitated workshop for technical teams, architects and engineering leaders around a real customer problem. The output is an architecture and a next-step roadmap, not a training certificate.
Technical teams, architects and engineering leaders
Pathways
Suggested pathways
Architect pathway
For architects and senior technical leaders who set the shape of AI systems and the platform around them.
- 01Generative AI Fundamentals
1 day · Foundation
- 02AI for Technical Leaders
1 day · Leadership
- 03Production AI Architecture
2 days · Advanced
- 04Architecting Enterprise Generative AI
2 days · Advanced
- 05AI Platform Engineering
2 days · Advanced