SVCE / 2026—27 / ml
Machine Learning.
The people exploring patterns, models, and the questions hiding inside data.
the people in this lane
The humans behind the work.
Browse each profile for the person’s role, focus, strengths, and ways to connect with the wider DSC community.
2026—27 / domain agenda
Machine learning and agentic AI
The Machine Learning domain moves from mathematical foundations and neural networks into production-minded AI systems, including transformers, LLMs, RAG, tool calling, vector databases, and multi-agent applications.
- Python for AI, linear algebra, calculus, and probability
- Machine learning fundamentals and neural networks from scratch
- Agentic AI, tool calling, RAG, and multi-agent systems
- Fine-tuning, embeddings, vector databases, and AI workflows
- Training, evaluation, deployment, MLOps, and end-to-end projects
