Large Language Models (LLMs) Course
This course provides a practical guide to building reliable code assistants using Large Language Models, covering fundamentals, model selection, prompting, evaluation, system design, and safety measures.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course gives you a fast, practical path to building reliable code assistants. Learn transformer basics, tokenisation, context windows, and failure modes, then compare open-source and hosted models for real projects. You will design prompts, structure inputs and outputs, plan evaluations, optimise request flows, and apply safety, privacy, and reliability controls from day one.
Elevify advantages
Develop skills
- Advanced prompting: design precise, reliable instructions for code-focused LLMs.
- LLM safety controls: reduce hallucinations, protect secrets, and enforce policies.
- LLM system design: build fast, scalable request flows with RAG and caching.
- Evaluation mastery: track LLM quality with tests, metrics, and human review.
- Model selection: choose and compare LLMs for cost, latency, and code accuracy.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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