Master Agentic AI: Core Principles & Real-World PC

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

• Design modular agent architectures and reward signals
• Build CI/CD and retraining pipelines with drift detection
• Create telemetry dashboards for agent monitoring
• Apply threat modeling and secure agent systems

• Basic familiarity with topic and readiness for applied practice