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Generative AI Training Course

Generative AI Training Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Generative AI Training Course equips you with hands-on skills to build RAG pipelines, decide on prompting versus fine-tuning, and optimise for latency, cost, and reliability. Dive into data preparation, access controls, safety protocols, and logging, while mastering prompt design for email creation, coding guidelines Q&A, and summarisation, supported by robust evaluation methods for precise, secure, and sustainable AI systems.

Elevify advantages

Develop skills

  • Design GenAI RAG pipelines by selecting prompting, fine-tuning, and retrieval quickly.
  • Prepare enterprise data by cleaning, normalising, redacting, and indexing documents for GenAI.
  • Implement secure GenAI access with permissions control, logging, and confidential data protection.
  • Craft effective prompts for emails, summaries, and coding Q&A using practical examples.
  • Evaluate GenAI quality through scalable tests, metrics, and feedback mechanisms.

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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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