Agentic AI refers to artificial intelligence (AI) systems that exhibit agency, meaning they can make decisions, set goals, and take actions autonomously to achieve those goals within given constraints. Equipped with reasoning, planning, and self-improving capabilities, agentic AI is poised to fundamentally transform the future of our society. This course aims to help students embrace and thrive in such an Agentic AI era by introducing fundamental concepts, discussing the latest advancements, and creating hands-on experiences in Agentic AI. The first part of this course provides a comprehensive review of foundational models, the cornerstone of Agentic AI, with a particular emphasis on their reasoning, planning, agentic frameworks, and infrastructure. The second part focuses on developing practical skills, such as multi-agent workflows, to design and deploy innovative real-world AI solutions. As a project-oriented, student-centered course, this course will equip the future workforce and innovators with the necessary skill sets and mindsets for AI innovation.