TikTok advertising moves quickly, and successful campaigns require more than creative ideas alone. Marketers must research audiences, develop native-feeling content, monitor performance, and make timely decisions across a constantly changing stream of data. AI agents can support this process by coordinating research, creative development, campaign analysis, and optimization workflows, helping you work with greater speed and consistency without surrendering strategic control. In this practical course, you will learn how to connect AI agents with the core stages of a TikTok advertising campaign. You will explore agent capabilities and limitations, design a campaign workflow, create structured prompts and reusable instructions, prepare TikTok ad concepts and variations, interpret campaign performance signals, and build an agent-assisted optimization process. You will also learn how to establish human review points, protect sensitive information, and reduce the risks of inaccurate recommendations or uncontrolled automation. The course is designed for marketers, growth specialists, media buyers, content strategists, founders, and AI practitioners who want to apply AI agents to paid social advertising. Basic familiarity with TikTok Ads Manager and campaign metrics is helpful, but advanced programming or machine learning experience is not required. The focus is on practical workflows that can be adapted to different products, audiences, budgets, and campaign objectives. By the end of the course, you will have a clear framework for using AI agents as a reliable campaign support system rather than treating them as a generic content generator. Start building more responsive, organized, and insight-driven TikTok ad campaigns today.