Understand and apply core AI concepts, including machine learning, deep learning, and neural networks, to solve real-world problems.
Explore ethical considerations and societal impacts of AI, and learn to navigate discussions surrounding AI governance.
Develop effective prompt engineering techniques to guide generative AI models and produce desired results.
Gain hands-on experience with AI tools and techniques, including building and training machine learning models using libraries like Scikit-Learn and PyTorch.