Large Language Models (LLMs) Course
This course offers a practical introduction to building reliable code assistants using large language models, covering key concepts, evaluation, and implementation strategies.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course provides a quick, hands-on way to create dependable code helpers. You'll cover transformer fundamentals, tokenisation, context limits, and common pitfalls, then evaluate open-source versus hosted models for actual tasks. From the start, you'll craft prompts, organise inputs and outputs, set up assessments, streamline request processes, and implement safeguards for safety, privacy, and dependability.
Elevify advantages
Develop skills
- Advanced prompting: create exact, trustworthy directives for code-oriented LLMs.
- LLM safety measures: minimise errors, safeguard confidential info, and uphold guidelines.
- LLM system planning: develop efficient, expandable request systems using RAG and caching.
- Evaluation expertise: monitor LLM performance through tests, measures, and human checks.
- Model choice: select and assess LLMs based on expense, speed, 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 thank you 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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