This course provides graduate-level fluency in the AI tools, workflows, and agentic systems reshaping professional work. Students gain hands-on experience with leading AI applications across text, image, data, and code; design and deploy multi-step workflows that integrate human judgment with model output; build, test, and iterate on AI agents using current frameworks; and prototype applications with low-code and no-code platforms. The course integrates the communicative, quantitative, and technical dimensions of AI-assisted work – emphasizing prompt design, output evaluation, and the editorial judgment required to make AI-generated material professionally usable. Organizational, ethical, and strategic dimensions – privacy, security, bias, reliability, attribution, and workforce effects – are examined throughout. Students complete a capstone deploying a working AI-enabled workflow or agent for a defined professional use case, accompanied by a written evaluation.