Each track maps the exact courses, projects, and external resources needed for a specific role. Pick the one that matches your goal — or explore multiple.
You will be able to select the right algorithm, train models, tune hyperparameters, deploy APIs, and monitor production systems.
You will be able to clean and explore data, build ML models, create dashboards, and tell stories with data that drive decisions.
The fastest-growing role in 2025. You will build systems that use LLMs, retrieval, and agents to power real applications — without training models from scratch.
You will build reliable data pipelines, orchestrate workflows with Airflow, process big data with Spark, and design schemas that scale.
You will master prompt engineering, build RAG systems, fine-tune models with LoRA, evaluate LLM outputs, and ship GenAI features in real products.