Agentic AI and Autonomous Systems

This course prepares students to design, build, and deploy advanced agentic AI systems by combining core theory with hands-on implementation. Students will work with three leading frameworks: CrewAI, Google ADK, and n8n, while learning the principles that make AI systems truly agentic. By the end of the course, students will have a portfolio of production-ready projects and the strategic insight to choose the right architectures for real-world problems.

Students will analyze reactive, deliberative, and hybrid agent architectures; build multi-agent systems with strong coordination and integration patterns; and implement secure, scalable, production-ready deployments. The course also covers evaluation methods, cross-platform intelligent workflows, and enterprise-grade automation. Learners will produce technical documentation, business cases, and ROI analyses while troubleshooting and optimizing complex agentic systems. Throughout, they will synthesize theoretical concepts with practical implementation to solve authentic business challenges.