Anyone who has used AI assistants for a while reaches the same point: the results are decent but inconsistent, and cannot be placed inside a process you would trust. This course addresses exactly that gap.
We start from a conceptual understanding of how language models work, enough to see why certain techniques help, then move to those techniques: chain of thought, few-shot, tree of thought, structuring output as JSON, and systematic evaluation of responses.
The second half covers RAG and integration: building a company knowledge base the model can consult, and connecting an LLM to real workflows via API. Along with Building AI Agents, it is the most technical course in the catalogue.
Tokens, context, temperature and training cutoffs. No mathematics, but enough to predict how the model will behave.
The strategies that measurably improve results on complex tasks, and the cases where they make things worse.
Retrieval Augmented Generation: giving the model access to company documents. Chunking, embeddings, retrieval and answer composition.
Getting responses in a format another system can consume, with validation and handling for when the format breaks.
Building a test set, measuring quality over time, and adding automated checks before output reaches a user.
API calls, managing cost and latency, caching and fallbacks. How a demo becomes something that runs every day.
No course is a fixed package. Duration, angle and depth are agreed around the objectives of the people taking part, and topics from different courses can be combined into a single programme. I work with corporate groups and with one person alone: tell me what you need and we will build the programme.
Request informationNot strictly, but the RAG and API integration modules give considerably more to people with some coding familiarity.
AI for Business is introductory and non-technical. This is the next step: it systematises usage and addresses integration into processes.
Yes, it is the central exercise. In corporate programmes we use real company documentation.
We work with the main available models and compare them. The techniques taught are provider independent.