by Dr. Ana Ferreira
Next Cohort: 21 Jul 2025
Deepen your Machine Learning knowledge through hands-on applications. From regression and classification to neural networks and model deployment, this course guides you in building production-ready AI solutions.
Experience with Python and data libraries
Knowledge of statistics and linear algebra
Familiarity with Jupyter Notebooks
10 modules
Human Skills
Digital Literacy Skills
Employability Skills
Entrepreneurship Skills
Machine Learning Fundamentals
Regression and Classification
Neural Networks with TensorFlow
Model Validation and Tuning
Deploying Models to Production
Final Project: ML Pipeline