Machine Learning and Deep Learning Course
5/5
This course equips learners with practical skills to build and deploy AI systems for support ticket resolution, covering problem definition, data handling, model development, evaluation, and production deployment with emphasis on safety and privacy.

5.0 in rating
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Machine Learning and Deep Learning Course provides a swift, hands-on route to developing dependable support ticket AI. You'll learn to define problems, create top-notch datasets, and process text using contemporary embeddings. Gain expertise in classification and answer suggestion models, assessment metrics, A/B testing, and refinement. Lastly, incorporate, oversee, and enhance systems with robust safety, privacy, and risk measures.
Elevify advantages
Develop skills
- ML problem framing: transform disorganised support objectives into precise ML tasks quickly.
- Data pipelines: design, cleanse, label, and divide actual support ticket data.
- Text modelling: construct sturdy classifiers using CNN, RNN, and Transformers.
- Answer generation: develop secure, fine-tuned retrieval-plus-generation processes.
- MLOps for support: deploy, monitor, and refine ticket AI in production.
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 classes are perfect. I got the one-year package and finally have the chance to follow a range of 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
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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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