Live Technical Education

Live sessions for software professionals

Practical AI engineering, software architecture and production systems thinking—taught through focused live online sessions.

These sessions are designed for developers, architects and technical leads who want to understand how modern AI capabilities fit into dependable software systems.

The emphasis is on architecture, engineering judgement, maintainability, evaluation and real-world system behaviour rather than quick framework demonstrations.

Current Live Session

RAG Beyond the Demo

A free 90-minute live online session exploring Retrieval-Augmented Generation from a software engineering and architectural perspective.

Free Live Online 90 Minutes

RAG Beyond the Demo

An Engineering Perspective for Software Developers

Many RAG tutorials demonstrate document loading, embeddings, vector search and an LLM response. This session examines what happens beyond that basic pipeline.

We will explore production architecture, retrieval quality, evaluation, observability, reliability and the engineering decisions needed to build systems that can evolve safely.

Date
Thursday, 27 August 2026
Time
6:30–8:00 pm BST
Location
Live Online
Audience
Software developers and architects

Upcoming Topics

More live sessions are being developed

Future sessions will continue the same engineering-first approach, connecting modern AI technologies with enduring software design and architectural principles.

Coming Soon

Production RAG Engineering

A deeper exploration of ingestion, retrieval, evaluation, observability, security, cost and the architecture required to operate RAG systems reliably.

  • Retrieval design
  • Evaluation methods
  • Operational visibility
  • Production failure modes

Coming Soon

Software Architecture for AI Systems

How separation of concerns, responsibility boundaries, modularity and design patterns apply to LLM, RAG and agentic applications.

  • System boundaries
  • Loose coupling
  • Architecture patterns
  • Designing for change

Coming Soon

Engineering Computer Vision Systems

A system-level view of data preparation, model inference, evaluation, deployment and monitoring for practical computer vision applications.

  • Data pipelines
  • Inference architecture
  • Evaluation and monitoring
  • Production deployment

Why These Sessions?

Modern AI still requires disciplined software engineering

AI tools make it easier to create working demonstrations. They do not remove the need for architecture, testability, observability, security, deployment and maintainability.

01

Architecture before implementation

Understand the complete system and its responsibility boundaries before choosing frameworks, providers or libraries.

02

Production thinking

Consider reliability, monitoring, cost, security and maintainability from the beginning rather than after a prototype has already become difficult to change.

03

Design for change

Build systems that can accommodate new models, providers, data, requirements and lessons learned from real users.

04

Principles that outlast tools

Learn architectural and engineering ideas that remain useful even as current frameworks and AI platforms change.

Session Format

What you can expect from a live session

Each session is designed to combine conceptual clarity with practical engineering relevance.

01

Clear technical context

The problem is established before tools or implementation details are introduced.

02

Live demonstrations

Demonstrations are used to investigate behaviour, trade-offs and failure modes—not simply to produce a quick result.

03

Architecture discussion

Components are considered within the wider system, including data, interfaces, users, operations and future change.

04

Practical engineering insight

The emphasis is on decisions engineers are likely to encounter when moving beyond proof-of-concept work.

05

Questions and discussion

Time is reserved for attendees to raise practical concerns and connect the material to their own work.

06

Further learning direction

Each session provides a foundation for deeper study, practical projects or future professional programmes.

Developing Learning Journey

From focused sessions to deeper professional learning

Live sessions are the first layer of a broader technical education programme for software professionals working with AI.

01

Free live sessions

Focused introductions to important engineering topics.

02

Professional programmes

Guided multi-week learning with greater technical depth.

03

Self-paced courses

Structured on-demand learning supported by practical material.

04

Engineering learning platform

A future home for complete learning paths and specialist programmes.

Explore technical education →

Past Sessions

Session archive

Completed sessions, follow-up material and recordings will be listed here when available.

Archive Coming Soon

The first session takes place in August 2026

After each live event, this section may include session notes, related articles, supporting GitHub material and recording information where applicable.

Join the Next Session

Reserve your place for RAG Beyond the Demo

Join the free live session and explore Retrieval-Augmented Generation as a complete software engineering concern.