Fundamentals of AI and ML
- AI vs. ML vs. deep learning
- Supervised, unsupervised and reinforcement learning
- The ML lifecycle: data, training, evaluation, deployment, monitoring
- Inference types: real-time, batch, asynchronous
- When ML is not the right answer
