Go from data to deployed ML solutions
Learn how to build intelligent systems that solve real problems. This pathway blends classical machine learning with modern LLM development and production-grade deployment.
You will learn how to work with data, train and evaluate models, and deploy intelligent features into real products. Expect hands-on labs, real datasets, and end-to-end ML workflows.
Go beyond notebooks to robust ML services.
Build retrieval, tool-using, and agentic workflows.
Learn evaluation, bias checks, and safety practices.
Structured modules designed to build your skills in the right order.
Work with real datasets and build your first predictive models.
Train, tune, and validate models for real use cases.
Design LLM features using retrieval and tool orchestration.
Ship models with monitoring, testing, and safe rollout.
Every module is designed to mirror production expectations.
Cover the full lifecycle from data to deployment.
Work with the kinds of data teams actually use.
Learn reliability, testing, and monitoring.
Demonstrate applied ML and LLM skills.
Ship models safely and monitor performance.
Evaluate and mitigate risk in ML systems.
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