NVIDIA: Fundamentals of Machine Learning
Completed by Raul Bahramzade
January 26, 2026
6 hours (approximately)
Raul Bahramzade's account is verified. Coursera certifies their successful completion of NVIDIA: Fundamentals of Machine Learning
What you will learn
Understand the fundamentals of AI, ML, and Deep Learning, and their key differences.
Implement supervised learning techniques like classification and regression.
Apply clustering methods and time series analysis using ARIMA.
Leverage NVIDIA RAPIDS for GPU-accelerated ML workflows.
Skills you will gain
- Category: Feature Engineering
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Supervised Learning
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Model Training
- Category: Unsupervised Learning
