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Adiz Codez

1-day seminar

AI in Practice

What large language models are genuinely good at, where they fail, and how to add them to a product responsibly.

Format
1-day seminar
Duration
1 day · 3 hours
Delivery
Online (live)
Level
all-levels

Description

A grounded seminar for teams and students who want clarity rather than hype. We demonstrate working examples, show failure cases honestly, and cover the practicalities of cost, privacy and reliability.

What attendees will be able to do

  • Explain what an LLM does and does not do
  • Recognise tasks where AI genuinely helps
  • Understand retrieval, grounding and citations
  • Plan for cost, latency and failure

Technologies

LLM APIsRAGOllamaPython

Outline

  • How models actually work
  • Useful patterns and honest limits
  • Retrieval over your own documents
  • Cost, privacy and reliability

Who this is for

  • Product and technical teams
  • Students exploring AI careers
  • Decision makers

Logistics

  • Delivered online with live demonstrations
  • Question-driven: bring real use cases
  • Slide deck and reference links shared afterwards

Frequently asked questions

Is any coding required for attendees?

None. The seminar is designed so both technical and non-technical people leave with something useful.

Can it be run for our team specifically?

Yes — we can focus the examples on your industry or the workflows you actually have in mind.

Want this workshop for your team or college?

We quote workshops per engagement — format, group size and dates all affect the price. Send us a short note with your audience and what you want them to learn.

Enquire about this workshop