Large Language Models (LLMs) Course
This course equips developers with practical skills to build reliable LLM-powered code assistants, covering model evaluation, prompt engineering, system design, and safety best practices.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Large Language Models (LLMs) Course provides a quick, hands-on route to developing 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 exact, dependable directives for code-oriented LLMs.
- LLM safety controls: minimise hallucinations, safeguard confidential info, and uphold policies.
- LLM system design: construct swift, scalable request streams 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.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 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 really help with learning.

André FelipePrompt Engineering Student
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