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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 and practical way to build dependable code helpers. You will learn the basics of transformers, tokenization, context windows, and common problems, then compare open-source and hosted models for actual projects. You will create prompts, organize inputs and outputs, plan assessments, improve request processes, and use safety, privacy, and reliability measures right from the start.

Elevify advantages

Develop skills

  • Advanced prompting: create clear and dependable instructions for LLMs focused on code.
  • LLM safety controls: minimize false information, safeguard confidential details, and apply rules.
  • LLM system design: develop quick and expandable request processes using RAG and caching.
  • Evaluation mastery: monitor LLM performance with tests, measures, and human checks.
  • Model selection: pick and assess LLMs based on cost, speed, and code correctness.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased 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, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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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