Core Concepts:
Advanced AI architectures including Transformers and Generative Adversarial Networks (GANs)
Designing scalable AI pipelines and workflows for production
Understanding Responsible AI practices, including fairness, explainability, and privacy
Tools:
Hugging Face Transformers, GAN libraries (e.g., TensorFlow/Keras or PyTorch-based), MLflow, SHAP, Azure/AWS/GCP tools
Project:
Work on a capstone project to solve a real-world industry problem. Build a complete AI solution pipeline—data to deployment—using advanced models and tools, while integrating responsible AI principles. Present the solution with a demo and detailed documentation.