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

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course provides a swift, practical route to developing dependable code assistants. Discover transformer fundamentals, tokenisation, context windows, and failure modes, then assess open-source and hosted models for genuine projects. You will craft prompts, organise inputs and outputs, devise evaluations, streamline request flows, and implement safety, privacy, and reliability measures from the outset.
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: construct swift, scalable request flows using RAG and caching.
- Evaluation mastery: monitor LLM quality through tests, metrics, and human oversight.
- Model selection: select and evaluate LLMs for 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 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 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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

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 CarloPrompt Engineering Student
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