Large Language Models (LLMs) Course
This course equips developers with practical skills to build reliable LLM-powered code assistants, covering fundamentals, evaluation, prompting, system design, and safety measures.

from 4 to 360h flexible workload
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 will cover transformer fundamentals, tokenization, context windows, and common pitfalls, then evaluate open-source and hosted models for actual projects. You will craft prompts, organise inputs and outputs, set up assessments, streamline request processes, and implement safety, privacy, and reliability measures right from the start.
Elevify advantages
Develop skills
- Advanced prompting: create exact, trustworthy instructions for LLMs focused on coding.
- LLM safety controls: minimise hallucinations, safeguard confidential info, and apply rules.
- LLM system design: develop quick, expandable request flows using RAG and caching.
- Evaluation mastery: monitor LLM performance with tests, metrics, and human checks.
- Model selection: pick and assess LLMs based on cost, speed, and coding precision.
Suggested summary
Before starting, you can change the chapters and 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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

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

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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