Deep technical explorations in artificial intelligence and machine learning. Code, theory, and practice.
Learn the essential components and best practices for deploying machine learning models to production environments.
Learn the fundamentals of transformer architecture and how to implement your first transformer-based model for NLP tasks.
Explore the critical issue of bias in AI systems and learn practical approaches to building fairer, more equitable machine learning models.
Learn about data augmentation techniques for deep learning and how to apply these concepts in your AI/ML projects.
Learn about reinforcement learning basics: q-learning explained and how to apply these concepts in your AI/ML projects.
Learn about building chatbots with transformers and bert and how to apply these concepts in your AI/ML projects.
Learn about monitoring machine learning models in production and how to apply these concepts in your AI/ML projects.