Farid Taba
Data Engineer at Panalyt
Optimizing AI Strategies
This course covers various aspects of improving AI models. Topics include introduction to model optimization, hyperparameter tuning, regularization techniques, evaluating and optimizing strategies, and deployment considerations. Students will learn how to monitor, evaluate and enhance model performance, prevent overfitting, and apply techniques for real-world scenarios.
- Course
- Intermediate
- 17 hours
- Updated: Sep 29, 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
4 skills
- Model drift
- Automated plan optimization
- Hyperparameter tuning
- Data pre-processing
Prerequisites
2 prerequisites
Prior to enrolling, you should have the following knowledge:
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 6 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:
Farid Taba
Data Engineer at Panalyt
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