Large Language Models (LLMs) Course
This course offers hands-on experience in building reliable code assistants using LLMs, covering fundamentals, evaluation, and practical implementation.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course provides a quick, hands-on way to create dependable code helpers. You'll grasp transformer fundamentals, tokenisation, context windows, and common pitfalls, then evaluate open-source and hosted models for actual projects. From the start, you'll craft prompts, organise inputs and outputs, set up assessments, streamline request processes, and implement safety, privacy, and reliability measures.
Elevify advantages
Develop skills
- Advanced prompting: craft exact, trustworthy instructions for code-oriented LLMs.
- LLM safety controls: minimise hallucinations, safeguard confidential info, and uphold guidelines.
- LLM system design: develop swift, expandable request streams using RAG and caching.
- Evaluation mastery: monitor LLM performance through tests, measures, and human checks.
- Model selection: pick and assess LLMs based on expense, speed, and code precision.
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 workloadWhat our students say
Your lessons are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, and 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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