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Large Language Models (LLMs) Course

Large Language Models (LLMs) Course
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 learn the fundamentals of transformers, tokenization, context windows, and common pitfalls, then evaluate open-source and hosted models for actual projects. From the start, you will 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: create exact, trustworthy instructions for LLMs focused on coding.
  • LLM safety controls: minimise hallucinations, safeguard secrets, and apply policies.
  • 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
Workload: between 4 and 360 hours

What our students say

Your classes 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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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