Large Language Models (LLMs) Course
This course offers hands-on training in building reliable code assistants using LLMs, covering fundamentals, model evaluation, prompt engineering, system design, and safety 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 way to create dependable code helpers. You'll cover transformer fundamentals, tokenisation, context limits, and common pitfalls, then assess open-source and cloud-based models for actual tasks. You'll craft prompts, organise inputs and outputs, set up assessments, streamline request processes, and implement security, privacy, and dependability measures right from the start.
Elevify advantages
Develop skills
- Advanced prompting: create exact, trustworthy directives for code-oriented LLMs.
- LLM safety measures: minimise false outputs, safeguard confidential info, and uphold guidelines.
- LLM system planning: develop efficient, expandable request streams using RAG and caching.
- Evaluation expertise: monitor LLM performance through tests, measures, and human checks.
- Model choice: select and evaluate LLMs based on expense, speed, and code precision.
Suggested summary
Before starting, you can change the chapters and 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 my 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 help a lot with learning.
André FelipePrompt Engineering Student
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