Samantha Guerriero
AI Consultant
Advanced Model Compression Techniques
This course equips learners with essential methodologies to reduce the size of machine learning models without significantly impacting performance. Starting with an introduction to various techniques, tools, and real-world applications, the course delves into post-training and training-time compression methods. Participants will explore how to build collaborative compression pipelines that enhance model efficiency. In the project "UdaciSense - Optimized Mobile Object Recognition," learners apply their knowledge to develop a practical, optimized solution for mobile devices. This course is perfect for AI practitioners seeking to advance their skills in model optimization.
- Course
- Intermediate
- 11 hours
- Updated: Oct 2, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
2 skills
- Deep learning model optimization
- Model evaluation
Prerequisites
2 prerequisites
Prior to enrolling, you should have the following knowledge:
- AI and ML applications
- PyTorch
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 5 lessons
- 1 project
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Samantha Guerriero
AI Consultant
About this program
Learn advanced compression methods for deep learning models, from quantization to knowledge distillation, to reduce size and boost efficiency for LLMs, SLMs, and vision models.
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates