What you will gain
- An in-depth technical exploration of transformer internal architectures and model fine-tuning.
- Practical workshops on model optimization (quantization, distillation) and deployment at scale.
- Advanced comparative analysis of open-source vs proprietary model performance on real cases.
Target outcomes
- Understand the architecture and internal components of transformers
- Master advanced model fine-tuning and quantization techniques
- Objectively evaluate and compare open-source and proprietary models in production
- Implement cost optimization and inference strategies for large-scale models
Prerequisites
- Basic computer and office software skills
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Instructor
Yassine El Idrissi
AI Product Lead
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
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Support Instructor
Imane Tahiri
LLM Engineer
This instructor participates in delivery and support to ensure personalized guidance for each student.
