Applied ai course
This course equips you with practical skills to build, deploy, and manage AI systems for support ticket assistance, covering everything from architecture design to safe rollout and evaluation.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Applied AI Course shows you how to design, deploy, and monitor real-world AI systems for support ticket assistance. You will learn RAG architectures, model selection, training, and validation, plus data cleaning, labelling, and privacy protection. The course also covers safety, governance, A/B testing, rollout strategies, and success metrics so you can launch reliable, compliant, and high-impact AI solutions fast.
Elevify advantages
Develop skills
- Design AI support architectures: build low-latency, scalable ticket assistants.
- Implement safe AI workflows: add filters, PII redaction, and governance controls.
- Train and evaluate models: tune LLMs, validate retrieval, prevent overfitting.
- Prepare support data: clean, label, and enrich tickets for high-impact AI use.
- Run AI experiments: A/B test, monitor metrics, and roll out features safely.
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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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 and simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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