Skip the slides. Our project-based workshops have your team building real AI-powered tools and prototypes — using the same technologies that power production systems today.
Programme Overview
Theory fades. Prototypes stick. Every CodeSpace tech workshop is built around a single principle: your team should ship something real by the time they leave the room.
Workshops run from one to three days and are scoped to your team's skill level — from no-code automation for business units to advanced LLM development for engineering teams. We bring the tools, infrastructure, and mentors.
25+
Workshops Delivered
60+
Prototypes Shipped
20–50
Avg. Team Size
15+
Tools Covered

What We Cover
Modules are selected and sequenced based on your team's current skill level and target outcomes.
How large language models work and how to use them effectively in real applications.
Advanced prompting techniques, function calling, and AI-powered agent workflows.
Building retrieval-augmented generation systems to ground AI in your company data.
Connecting AI tools to existing processes using no-code and low-code platforms.
Designing scalable, maintainable AI-powered systems for enterprise use.
Every workshop ends with a real prototype — code you own and can deploy immediately.
Track Record
Workshops we've delivered — and the things teams built.

Teams built working prototypes integrating LLMs into internal workflows using RAG pipelines and no-code automation platforms. Each participant shipped a functional proof-of-concept by the end of day two — ready to present to their managers.

A developer-focused deep-dive into building production-grade LLM applications — covering prompt engineering, tool use, embeddings, vector databases, and deployment on cloud infrastructure. Participants left with a complete, deployed project.
Tell us about your team and goals. We'll scope a workshop that ends with prototypes your organisation can actually use.