Transfer Learning Foundations for AI Models
Completed by Laura Franciosa
September 7, 2026
5 hours (approximately)
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What you will learn
Explain the fundamental concepts of machine learning, neural networks, transfer learning, and transformer architectures.
Apply Python, NumPy, Pandas, and visualization libraries to prepare data, build, and evaluate machine learning models.
Analyze neural networks, CNNs, and transfer learning methods to select suitable approaches for different AI tasks.
Evaluate pretrained and transformer-based models to choose suitable solutions for real-world AI applications.
Skills you will gain
- Category: Natural Language Processing
- Category: Data Visualization
- Category: Computer Vision
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Data Analysis
- Category: Pandas (Python Package)
- Category: Applied Machine Learning
- Category: Large Language Modeling
- Category: Artificial Intelligence
- Category: Machine Learning Methods
