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Large Language Models (LLMs) Course

Large Language Models (LLMs) Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course offers a quick practical guide to creating dependable code assistants using Large Language Models. You will explore transformer fundamentals, tokenization, context limits, and common pitfalls, while evaluating open-source versus hosted models for actual projects. Gain skills in crafting prompts, formatting inputs and outputs, setting up evaluations, streamlining API calls, and implementing safety, privacy, and reliability measures right away.

Elevify advantages

Develop skills

  • Advanced prompting techniques to create accurate instructions for code-specific LLMs.
  • LLM safety measures to curb hallucinations, secure sensitive data, and apply strict policies.
  • LLM system architecture for efficient, scalable workflows using RAG and caching.
  • Expert evaluation skills with testing, metrics, and human oversight for LLM performance.
  • Strategic model selection based on cost, speed, and coding 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 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... 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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