| Outcomes |
- Build a strong foundation in AI/ML concepts, including neural networks, deep learning, natural language processing, and computer vision
- Gain hands-on experience with Python libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras while working on real use cases
- Learn how to clean data, engineer features, and apply the right algorithms to solve meaningful problems
- Develop and improve models for tasks like prediction, classification, and recommendations
- Work on a complete end-to-end project that brings everything together and reflects real-world application
- Receive a certificate that validates your learning and adds value to your profile
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