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Large Language Models (LLMs) Course

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

What will I learn?

The Large Language Models (LLMs) Course provides a quick, hands-on route to creating dependable code assistants. You'll cover transformer fundamentals, tokenisation, context windows, and common pitfalls, then evaluate open-source and hosted models for actual projects. You'll craft prompts, organise inputs and outputs, devise assessments, streamline request processes, and implement safety, privacy, and reliability measures right from the start.

Elevify advantages

Develop skills

  • Advanced prompting: craft precise, dependable instructions for code-oriented LLMs.
  • LLM safety controls: minimise hallucinations, safeguard secrets, and uphold policies.
  • LLM system design: develop swift, scalable request flows using RAG and caching.
  • Evaluation mastery: monitor LLM performance with tests, metrics, and human oversight.
  • Model selection: select and assess LLMs based on cost, latency, 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 workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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