Google Gemini (LLM) Course
This course provides comprehensive training on leveraging Google Gemini for building robust AI assistants, covering key techniques and best practices for secure and efficient implementation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Google Gemini (LLM) Course teaches you how to build secure, efficient AI assistants using Gemini’s main features. You will learn about retrieval-augmented generation, prompt engineering, managing context, and document processing pipelines, while tackling issues like privacy, safety, and hallucinations. Additionally, you will gain skills in evaluation, monitoring, and ongoing enhancement to keep your assistant dependable, compliant, and able to grow.
Elevify advantages
Develop skills
- Design Gemini RAG systems: create secure, expandable retrieval pipelines quickly.
- Engineer effective prompts: improve Gemini results using proven methods.
- Build LLM data flows: manage context, embeddings, and APIs for real-world use.
- Monitor LLM performance: check accuracy, speed, and user feedback live.
- Reduce AI risks: handle bias, hallucinations, privacy, and regulations.
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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