Master Agentic AI trains ML and AI practitioners to design, build, and operate autonomous agent systems for real-world use. You’ll start with agent architecture and reward-signal design, progress to modular agent components and reusable ML pipelines, and finish with production monitoring, drift detection, and security governance. The curriculum blends practical lectures with labs, project modules, and a career development add-on to produce portfolio-ready artifacts. By program end, you’ll be able to design agent reasoning loops, implement CI/CD and automated retraining pipelines, and apply threat modeling and telemetry analytics to maintain trustworthy agentic systems.
Applied Learning Project
Complete hands-on projects that demonstrate production-ready skills. Projects include: (1) designing an agent with modular components and reward signals; (2) building CI/CD notebooks and automated retraining pipelines with drift-detection triggers; and (3) producing telemetry analytics, dashboards, and STRIDE threat-model artifacts for governance. Add-on project modules enable you to refine artifacts for a technical portfolio and include a short career development module to prepare application materials and interview talking points. Projects emphasize reproducibility, documented toolchains, and deployable artifacts you can showcase to employers.
