2026 노코드 AI 에이전트 착지 실전 강의: Coze 워크플로 구축, 다산업 전용 자동화 효율화 교육

Course intro
The 2026 AI-agent efficiency-landing practical course requires zero code — pure visual operation; zero-foundation learners can build dedicated automation agents. It starts from Coze platform registration, supporting docs and template import; systematically teaches task nodes, plugins, large-model integration, workflow publishing, and agent invocation. It covers 10+ mainstream industry scenarios: batch news-article writing, fully auto short-video gen/editing, Feishu data auto-archiving, RPA batch copy scraping, image-text design tools, smart customer service, data-viz reports, resume/interview tools, batch file analysis, legal-contract review. Each scenario breaks business logic step-by-step, demos loop batch processing, auto-violation handling, and knowledge-base building; paired with complete templates. After the course you build an agent that fits your industry, slashing repetitive work time.

Course directory (condensed): 1.1-1 course and learning method; 2.1-2 how to register/login Coze and enter the space; 3.1-3 supporting cloud-doc use; 4.1-4 importing course workflow templates to Coze; 5.2-1 task breakdown and node use; 6.2-2 plugin config and use; 7.2-3 large-model workflow integration; 8.2-4 workflow output config and publish; 9.2-5 agent build and workflow invocation; 10.3-1 business-scenario breakdown and loop node; 11.3-2 loop node config and parameter calls; 12.3-3 continuing news draft (loop intermediate variables); 13.3-4 news-writing workflow publish and agent creation; 14.3-5 news content extraction and batch processing; 15.4-1 short-video business breakdown; 16.4-2 script design and production-node config; 17.4-3 finish script-node content output; 18.4-4 image frame production-node config; 19.4-5 image-prompt violation handling and camera-script production; 20.4-6 video-gen node build; 21.4-7 image production; and more.