The rapid popularization of AI-generated video technology has completely changed the production methods of commercial advertisements, brand short films, and promotional animations. Brands now have a huge demand for AIGC short video content, and many creators rely on AI tools to complete commercial projects, participate in industry competitions and win awards, opening up new income channels. But many creators encounter problems: they are skilled with the tools, but do not know how to connect with real commercial needs; they do not understand the creative logic of brand advertising films, and the works they produce are only suitable for personal entertainment; they do not understand the rules of industry competitions, and do not know how to build a professional portfolio that can win freelance orders and job opportunities.
\AIGC Advertising Video Practical Training Season 1 is aimed at creators who want to enter the AI commercial video track, integrating tool practice, award-winning competition participation, analysis of well-known brand cases, commercial project implementation, and portfolio packaging. It not only teaches software operation, but also focuses more on cultivating business thinking, breaking down multiple real award-winning and commercial collaboration films to help students transform AI creative ability into actionable monetization ability.
\Course Content covers usage techniques of mainstream AI tools such as ChatGPT4o, Doubao, Jimeng, Kling, and Vidu, as well as complete breakdowns of brand collaboration cases such as Coca-Cola, KFC, and CCTV.com. From script creativity to image generation, from understanding commercial needs to portfolio packaging, every step is closely integrated with real industry needs. After learning, you will not only be able to master AI video production skills, but also understand how to participate in competitions and win awards, how to take commercial orders, and how to seek employment, truly finding your own AIGC monetization path.
\💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.
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