Full-Stack AI Application Practical Tutorial



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🕒Last updated: 06/10/2026
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Full-Stack AI Application in Practice: AI Programming + Dify Agent Applications + Digital Humans + Intelligent Reimbursement System

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📅 Release Date:
\ June 10, 2026
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📚 Course Type:
\ Full-Stack AI Development in Practice
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👥 Target Audience:
\ Zero-basics AI enthusiasts, technical practitioners, workplace operations personnel
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This course is a zero-basics, step-by-step advanced full-stack AI application practical course. Starting from core engineering tools, it solidifies the underlying foundation of AI development and extends to practical development of various popular AI intelligent applications. The course covers key engineering skills such as Git version control and collaboration workflows, and Docker containerization core concepts, helping learners build standardized code management and deployment capabilities. After completing this course, learners will be able to independently develop advanced AI applications such as Dify intelligent agents, digital humans, and intelligent business systems, building a complete technical system of "underlying engineering capabilities + advanced AI implementation." It is suitable for zero-basics AI enthusiasts, technical practitioners, and workplace professionals who want to enhance their core competitiveness, helping learners achieve the technical leap from AI tool users to AI application developers.

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[版本控制与协作]
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  • 1.Git GitHub: Version Control and Collaboration Workflow-01
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  • 2.Git GitHub: Version Control and Collaboration Workflow-02
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[容器化部署]
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  • 3.Docker and Containerization Core Concepts-01
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  • 4.Docker and Containerization Core Concepts-02
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  • 5.Docker and Containerization Core Concepts-03
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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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