Large Language Models Course
Master Large Language Models for real-world ticket routing and summarization. Learn data prep, prompt engineering, evaluation, governance, and monitoring so you can deploy reliable, compliant LLM systems that your stakeholders trust.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master practical large language model skills in this focused course. You will learn data ingestion, preprocessing, and baseline NLP classification, then upgrade to LLM-based routing and summarization with clear prompt patterns. Build reproducible experiments, documentation, and CI workflows, and finish with a concrete playbook for secure, monitored, and compliant production deployments that deliver reliable results.
Elevify advantages
Develop skills
- LLM classification design: build robust, prompt-based ticket routing in days.
- Data prep for LLMs: clean, anonymize, and version ticket datasets fast.
- LLM evaluation & monitoring: track accuracy, drift, cost, and safety issues.
- Summarization workflows: ship concise, auditable ticket summaries at scale.
- Production LLM ops: deploy, govern, and document compliant LLM pipelines.
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 extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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