Large Language Models Course
This course provides hands-on training in building and deploying large language models for practical applications like ticket routing and summarization, covering data preparation, evaluation, and production operations.

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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful 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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