Building AI Agents for Image and Video Generation

The demand for automated, high-quality media generation is skyrocketing, yet manual iteration can be incredibly time-consuming. Building intelligent agents that can autonomously generate, critique, and improve visual assets is the key to scaling modern content pipelines. This text-based course guides you through the foundational concepts of agentic workflows, teaching you how to program agents that generate images and videos, evaluate their own outputs against quality standards, and automatically iterate until they achieve the desired results. What you'll learn: 1. Understand the core principles of AI agents and autonomous feedback loops. 2. Program agents to generate high-quality visual media using state-of-the-art models. 3. Implement automated evaluation metrics to assess image and video quality. 4. Design iterative feedback cycles where agents refine their own outputs. 5. Apply modern prompt engineering patterns specifically optimized for multi-modal generation. 6. Structure agentic orchestration workflows using clear, readable code patterns. You will start with the fundamental terminology of multi-modal AI and agent architectures before moving into step-by-step written explanations and code implementations of generation, evaluation, and refinement loops. This course is designed for beginners interested in AI automation and media generation, requiring no prior experience with agentic frameworks. Start reading today to build your first autonomous media-generation agent.