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Applied ai course

Applied ai course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches designing, deploying, and monitoring real-world AI systems for support ticket handling. Learners gain expertise in RAG architectures, model selection, training, validation, data cleaning, labelling, and privacy safeguards. It also includes safety measures, governance, A/B testing, rollout plans, and success metrics to enable quick deployment of reliable, compliant, high-impact AI solutions.

Elevify advantages

Develop skills

  • Design scalable AI architectures for support tickets with low latency and high efficiency.
  • Implement secure AI workflows using filters, PII redaction, and strong governance controls.
  • Train and evaluate AI models by fine-tuning LLMs, validating retrieval, and avoiding overfitting.
  • Prepare quality support data through cleaning, labelling, and enrichment for optimal AI performance.
  • Conduct AI experiments with A/B testing, metric monitoring, and safe feature rollouts.

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.
Workload: between 4 and 360 hours

What our students say

Your classes 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 that I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, 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 in learning.
André Felipe
André FelipePrompt Engineering Student

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