AI Agent Productivity Course: Zero-Baseline to Independent Closed-Loop



📚Video Course
🕒Last updated: 09/05/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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AI Agent Productivity Course

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📅 Release Date:
\ September 5, 2026
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📚 Course Type:
\ AI Agent Building in Practice
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🔧 Format:
\ Video Tutorial
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👥 Target Audience:
\ Beginners, office workers, self-media creators, and professionals such as HR/legal/designers
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AI Agent Productivity Course: From Zero Basics to Building an Independent Closed Loop is a zero-basics, zero-code, fully practical AI automation system course. Say goodbye to fragmented, impractical online AI learning that only teaches you how to ask questions. This course takes you from underlying principles to full-scenario practice, helping you truly master AI agent building skills, create exclusive automated workflows for individuals/industries, and achieve hundredfold efficiency with AI.

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The course has four modules that progress step by step from shallow to deep: The Principles module solidifies the underlying logic of AI workflows, teaching zero-basics beginners step by step to build their first AI information scraping workflow, master batch automation and loop processing techniques, and build an AI digital brain and intelligent customer service with a dedicated knowledge base; The Content Efficiency module connects the full chain of short video and graphic creation, enabling automatic video generation from text, one-click editing in CapCut, automatic collection of viral copy, and structured generation of viral notes; The Office Efficiency module focuses on workplace essentials, completing automatic webpage data aggregation, intelligent report generation, and customized job application materials; The Practical Solutions module implements industry-specific AI solutions, covering vertical fields such as HR headhunting, legal compliance, and interior design, adapting to monetization and efficiency needs across different roles and industries.

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The entire course is purely zero-code hands-on practice, requiring no programming background or professional skills, and all cases can be directly replicated and applied. After learning, you will no longer simply use AI tools, but independently build AI automation systems, letting AI work for you, produce in batches, operate automatically, and completely free your hands.

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[Orientation]
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  • 01Goals and methods for mastering AI workflow learning
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[Principles] Basic Workflow Building
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  • 02Build your first AI application: single-node news scraping (Lessons 1-6)
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[Principles] Advanced Workflows: Loop and Batch Processing Techniques
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  • 03Loop and batch processing techniques: achieving batch news acquisition (Lessons 1-5)
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[Principles] Knowledge Base Mounting: AI Digital Brain
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  • 04AI memory application: building a dedicated intelligent customer service chatbot (Lessons 1-5)
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[Content Efficiency] Automatic Short Video Generation
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  • 05From text to video: automated video generation workflow (Lessons 1-8)
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[Content Efficiency] Automated Editing
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  • 06Connect editing interface: one-click generation of CapCut video drafts (Lessons 1-5)
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[Content Efficiency] Data Collection and Graphic Creation
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  • 07Automatic scraping of Xiaohongshu copy (Lessons 1-5)
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  • 08Structured imitation writing: automatic generation of note copy based on viral logic (Lessons 1-5)
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[办公提效]
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  • 09Webpage data scraping: automatic aggregation, analysis, and writing to Feishu tables (Lessons 1-5)
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  • 10Business data analysis: automatic generation of data analysis reports (Lessons 1-6)
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  • 11Job application material customization: automatic generation of resumes and interview scripts based on target positions (Lessons 1-5)
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[Practical Solutions] Multi-Industry AI Implementation Solutions
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  • 12HR headhunting: batch resume parsing into Feishu tables (Lessons 1-4)
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  • 13Legal compliance: professional contract review and compliance inspection system (Lessons 1-5)
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  • 14Interior design: intelligent generation of renovation renderings based on customer needs (Lessons 1-5)
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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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