Large Language Models (LLMs) Course
This course offers a practical introduction to building reliable coding assistants using large language models, covering key concepts, evaluation techniques, and best practices for implementation.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
The Large Language Models (LLMs) Course provides a quick, hands-on way to develop dependable coding assistants. You will cover transformer fundamentals, tokenisation, context windows, and common pitfalls, then evaluate open-source and hosted models for practical applications. From the start, you will craft prompts, organise inputs and outputs, devise assessments, streamline request processes, and implement safeguards for safety, privacy, and reliability.
Elevify Advantages
Develop Skills
- Advanced prompting: craft clear, dependable prompts for coding LLMs.
- LLM safety measures: minimise hallucinations, safeguard sensitive info, and apply guidelines.
- LLM system architecture: develop efficient, scalable workflows using RAG and caching.
- Evaluation expertise: monitor LLM performance via tests, metrics, and human checks.
- Model choice: select and assess LLMs 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.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... 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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