• Foundational Technologies Behind Today’s AI Capabilities
    • What is machine learning
      • Understanding machine learning
      • Training techniques (supervised, unsupervised, and
        reinforcement learning)
      • Types of ML algorithms and their applications
    • What is deep learning
      • Biomimicry in deep learning
      • Understanding RNNs and CNNs
    • What is NLP
      • How machines can understand language
      • The NLP development pipeline
      • NLP at work
        • Tokenization, embeddings, and language models