Machine Learning and Deep Learning Course
4.3/5
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.

4.3 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 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
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The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.

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