Creating effective advertising at scale demands more than generating a few catchy headlines. Marketers must interpret briefs, understand audiences, develop distinct concepts, adapt messages across channels, evaluate quality, and maintain a consistent brand voice. AI agents can help orchestrate this entire process, but only when they are given clear roles, reliable context, structured workflows, and meaningful quality controls. In this practical course, you will learn how to design AI agents that support both advertising copy and visual creative development. You will turn campaign goals and audience insights into an agent-ready creative brief, build a copywriting workflow for producing and refining channel-specific variations, and direct a creative ideation agent using visual concepts and image-generation prompts. You will also create evaluation criteria for brand consistency, clarity, persuasion, platform fit, and responsible advertising. The course culminates in a complete multi-agent campaign workflow that moves from strategy and concept generation to review, revision, and final deliverables. This course is designed for copywriters, performance marketers, creative strategists, content teams, agency professionals, and builders who want to apply AI agents to real advertising work. No machine learning background is required. Familiarity with common marketing concepts will be useful, but the lessons guide you progressively from foundational agent principles to hands-on workflow design. By the end, you will have a reusable framework for producing stronger ad concepts and copy without surrendering strategic judgment or creative control. Start building an AI-assisted creative process that is faster, more consistent, and ready to adapt across campaigns and channels.