AI & Generative AI
Learn Generative AI & LLMs
Generative AI refers to models that produce new content — text, code, images — from a prompt. Large language models are the text-and-code variety most software integrates with.
Why teams use it
- They handle language-shaped problems such as summarising, extracting and classifying without bespoke training.
- They can be integrated through an API, so a small team can ship real capability.
- Combined with your own data through retrieval, they can answer questions specific to a business.
Where you will meet it
An assistant that answers questions from a company's internal documents is a retrieval system feeding a language model, not a model that memorised the documents.
What to learn, and in what order
Work through these roughly in order. Jumping to the advanced list before the basics are solid is the most common way people get stuck.
Beginner
- Prompting basics
- Getting structured output
- Model limitations and hallucination
- Calling a model from code
Intermediate
- Tool and function calling
- Retrieval-augmented generation
- Vector stores and embeddings
- Evaluating output quality
Advanced
- Agent workflows
- Guardrails and safety
- Prompt injection and data boundaries
- Cost control at scale
Courses covering Generative AI & LLMs
Have a project worth talking through?
Tell us what you're building or what's slowing your current system down. We'll give you a direct read on scope and approach.