Gen AI Course
This course provides a comprehensive, hands-on guide to developing generative AI systems, covering everything from model selection and prompt engineering to deployment, security, and performance optimization.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Gen AI Course offers you a quick, hands-on way to build solid generative AI features from start to finish. You will learn how to choose LLMs, do prompt engineering, and design responses, then go into architecture, integration, caching, and managing latency. You will master data governance, privacy, and safety, create good UX, run pilots with strong metrics, and launch strong prototypes with clear boundaries and plans for improvement.
Elevify advantages
Develop skills
- GenAI system design: Build strong LLM backends using caching and batching.
- Secure AI data handling: Put in place privacy, logging, and safety controls quickly.
- Prompt and model mastery: Choose LLMs and create powerful prompts for code.
- Rapid AI prototyping: Put together, test, and improve GenAI features from end to end.
- Metrics-driven rollout: Plan pilots, KPIs, and UX to check GenAI tools.
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... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are 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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