Google Gemini (LLM) Course
This course provides comprehensive training on developing secure and efficient AI assistants using Google Gemini, covering essential techniques and best practices for production-ready applications.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Google Gemini (LLM) Course teaches you how to build secure, high-performing AI assistants using Gemini’s key features. You will learn about retrieval-augmented generation, prompt engineering, managing context, and document pipelines, then tackle issues like privacy, safety, and hallucination risks. You will also practise evaluation, monitoring, and ongoing improvement to keep your assistant reliable, compliant, and able to scale.
Elevify advantages
Develop skills
- Design Gemini RAG systems: build secure, scalable retrieval pipelines quickly.
- Engineer high-impact prompts: optimise Gemini outputs with tested patterns.
- Architect LLM data flows: context, embeddings, and APIs tuned for production.
- Monitor LLM quality: track accuracy, latency, and user satisfaction in real time.
- Mitigate AI risks: control bias, hallucinations, privacy, and compliance.
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 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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