AI Agent Productivity + Industry Implementation Course



📚Video Course
🕒Last updated: 07/10/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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2026 AI Agent Productivity + Industry Implementation Course: No coding taught—only how to build tools from zero and turn AI agents into your personal productivity assistants

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📅 Release Date:
\ July 10, 2026
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📚 Course Type:
\ AI Agent Practical
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👥 Target Audience:
\ Efficiency-driven professionals, content creators, business managers, and AI enthusiasts
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📖 Course Features:
\ Zero code, zero foundation, low barrier with pure hands-on practice, multi-scenario implementation, and a full set of workflow templates
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This course is designed for complete beginners with no programming background, guiding you from scratch to build your own AI agent tools. The course covers everything from understanding the core components of AI agents to multi-scenario implementation, enabling you to truly turn AI agents into capable assistants in your daily work and creative projects.

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Through this course, you will learn how to use the Coze platform to quickly build workflows, configure plugins, and integrate large model capabilities, applying them to real-world scenarios such as content creation for self-media, office automation, e-commerce customer service, design assistance, resume screening, and contract review. The course provides a full set of reusable workflow templates that you can directly apply to your work after learning, greatly improving efficiency. Whether you are an office professional, content creator, or business manager, you will find a productivity solution that suits you in this course.

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[AI Agent Fundamentals]
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  • 1.Course and Learning Methods Introduction
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  • 2.Registering, Logging In to Coze, and Entering the Coze Space
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  • 3.How to Use the Course's Accompanying Cloud Document Materials
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  • 4.How to Import Course Workflow Templates into the Coze Space
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  • 5.Task Breakdown and Node Usage Methods
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  • 6.Plugin Configuration and Usage Methods
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  • 7.Large Model Integration into Workflows and Configuration Methods
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  • 8.Workflow Output Configuration and Publishing
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  • 9.AI Agent Building and Workflow Invocation Methods
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  • 10.Business Scenario Breakdown and Loop Node Usage
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  • 11.Loop Node Configuration and Parameter Invocation
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  • 12.Methods for Continuing News Article Writing (Using Loop Intermediate Variables)
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  • 13.News Article Creation Workflow Publishing and AI Agent Creation
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  • 14.News content extraction and batch processing usage
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Self-Media Productivity
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  • 15.Short video production business breakdown
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  • 16.Script design and production node configuration
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  • 17.Complete script node content output
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  • 18.Image frame production node configuration
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  • 19.Image prompt violation handling and camera movement script production
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  • 20.Video generation node construction
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  • 21.Image production error and violation automated handling node construction
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  • 22.Video generation violation handling and video effect display
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  • 23.Editing tools and timeline definition methods
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  • 24.CapCut plugin usage methods
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  • 25.Editing material production methods (material and timeline binding)
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  • 26.Automated generation of CapCut draft material operation methods
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  • 27.Automatically synthesize finished video
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  • 28.Business breakdown and automatic collection and retrieval information effect display
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  • 29.Large model and Feishu integration node construction
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  • 30.Table data automatic writing node construction
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  • 31.Information and data retrieval workflow construction
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  • 32.Agent construction and common error solutions
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  • 33.Copywriting content creation business process breakdown and operation effect demonstration
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  • 34.YingDao RPA deployment and configuration methods
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  • 35.YingDao process creation and design
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  • 36.Loop scraping copywriting process construction
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  • 37.Complete copywriting scraping construction and acceptance
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  • 38.Copywriting creation business logic breakdown and workflow creation
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  • 39.Account copywriting analysis and scoring (large model)
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  • 40.Copywriting imitation (title + outline + body)
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  • 41.Content summary and insertion into Feishu table
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  • 42.Copywriting image design generation node construction
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  • 43.Model configuration optimization and image-text generation agent construction
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Workplace Productivity
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  • 44.Image design business breakdown and application effect demonstration
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  • 45.Workflow design and large model processing design requirements
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  • 46.Image generation and model configuration
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  • 47.COZE building image design APP application
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  • 48.APP function module construction and finished product demonstration
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  • 49.Business logic breakdown and data report operation result demonstration
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  • 50.Data reading and large model node configuration
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  • 51.Visualized data report generation node construction
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  • 52.Rebuilding nodes based on organizational structure and division of labor
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  • 53.Optimized run results and business review
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  • 54.Business logic breakdown and results demonstration
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  • 55.Workflow creation and resume generation node configuration
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  • 56.Building interview guidance node for specific job positions
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  • 57.Workflow efficiency optimization and resume agent building
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[Scenario-based efficiency improvement]
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  • 58.Customer service business breakdown and conversation flow creation
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  • 59.Automatic recognition and matching of customer service conversation scenarios (selector)
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  • 60.Customer service database construction and LLM response methods
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  • 61.Customer service knowledge base construction and usage
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  • 62.Customer service agent building and workflow invocation
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  • 63.Business logic breakdown and workflow node restructuring logic
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  • 64.Batch file reading and analysis node configuration
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  • 65.Batch processing improvements to workflow efficiency
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  • 66.Agent building and workflow application scenario expansion
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  • 67.Intelligent legal contract review business logic breakdown
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  • 68.Initial review LLM node configuration
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  • 69.Review node and workflow orchestration completion
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  • 70.Legal agent building and acceptance
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.

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