Fundamentals of AI, Machine Learning, and Python Programming
Completed by Samuel Derous
March 5, 2026
8 hours (approximately)
Samuel Derous's account is verified. Coursera certifies their successful completion of Fundamentals of AI, Machine Learning, and Python Programming
What you will learn
Identify and define the core concepts of AI and machine learning
Explain Python programming fundamentals, including flow control mechanisms, data structures, and functions
Utilize essential Python libraries such as NumPy, Matplotlib, and Pandas for data manipulation and visualization
Develop and train neural networks using deep learning frameworks like TensorFlow and PyTorch, understanding their architecture and functioning
Skills you will gain
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Regression Analysis
- Category: Python Programming
- Category: Scripting Languages
- Category: PyTorch (Machine Learning Library)
- Category: Pandas (Python Package)
- Category: Model Training
- Category: Programming Principles
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Computer Programming
- Category: Predictive Modeling
